{"title":"The LLM Stack Census","generated_at":"2026-07-23 07:02","methodology":{"models":["anthropic/claude-haiku-4.5","deepseek/deepseek-v4-pro","google/gemini-3.1-flash-lite","mistralai/mistral-small-2603","openai/gpt-5-mini","x-ai/grok-4.3"],"prompts":100,"systems":["b2b_saas","realtime_chat","collaborative_editor","marketplace","ecommerce","video_platform","document_search","analytics_pipeline","event_streaming","mobile_backend","identity_service","file_sync","iot_platform","public_api","internal_tool","community_forum","booking_system","observability","ml_inference","local_first"],"variants":["neutral","budget","scale","eu","open_source"]},"responses":[{"response_id":16383,"probe_id":5957,"sample":1,"system":"b2b_saas","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"multi-tenant SaaS monolith with managed infrastructure\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for interactive B2B dashboards and real-time updates\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety critical for multi-tenant billing and audit integrity\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js with Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event-driven for concurrent tenant requests; JavaScript ecosystem alignment\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with JSON\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard B2B SaaS integration pattern; familiar to enterprise customers\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance essential for billing; row-level security for tenant isolation\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS Read Replica\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Dedicated replica for audit log queries and analytics without impacting transactions\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session management and tenant permission caching reduces database load\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"AWS MQ\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples billing calculations and audit log writes from request path\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"PostgreSQL full-text search sufficient for task and project lookup at launch\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-tenant file uploads with built-in access control and versioning\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live task updates and collaboration; handled by backend framework\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed for fine-grained tenant and role-based access control\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container\",\n      \"service\": \"AWS ECS Fargate\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container orchestration eliminates infrastructure management\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"ECS Fargate provides sufficient orchestration for this architecture scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"CloudWatch with X-Ray\",\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native AWS integration for logs, metrics, and distributed tracing\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Minimal setup for containerized deployments to ECS Fargate\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL queries on read replica\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Direct database queries for tenant usage metrics and billing analytics\"\n    }\n  ],\n  \"main_risk\": \"Multi-tenant data isolation failures could expose sensitive task and billing data; mitigate with comprehensive row-level security tests and query auditing.\",\n  \"first_component_to_replace_at_scale\": \"primary_database—single PostgreSQL instance becomes write bottleneck; migrate to sharded database or dedicated tenant databases.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16185,"probe_id":5957,"sample":1,"system":"b2b_saas","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"monomodular monolith with async boundaries\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich SPA for interactive project/task management.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-stack type safety with Node.js.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"Trilon\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, supports multi-tenancy and OpenAPI out-of-box.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple contract for billing and audit endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID, row-level security, audit triggers, battle-tested multi-tenancy.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, rate limiting, hot query cache.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable event stream for audit log ingestion and billing events.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-text search on projects and tasks with near real-time.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable storage for file attachments.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"Socket.IO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket-based live updates for collaborative editing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Multi-tenant SSO, RBAC, enterprise identity integration.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes for containerized workloads.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pod scaling, service discovery, zero-downtime deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified APM, logs, metrics, and audit trail monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated test, build, push to ECR, and deploy to EKS.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Amazon Redshift\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Columnar analytics for billing reports and tenant usage dashboards.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Subscription management, invoicing, payment processing.\"\n    }\n  ],\n  \"main_risk\": \"Multi-tenant data isolation and audit compliance under rapid tenant growth.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16216,"probe_id":5957,"sample":1,"system":"b2b_saas","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem with superior developer productivity and component reuse.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified language across stack enables rapid iterative development and shared type safety.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides structured, testable architecture suitable for long-term B2B SaaS maintainability.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust ACID compliance and relational integrity are essential for billing and audit data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session management and task state caching.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for durable, scalable attachment and asset storage.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ensures secure, compliant B2B identity management with enterprise SSO support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable orchestration allows consistent deployment across dev and production environments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified visibility into distributed traces and logs for production troubleshooting.\"\n    }\n  ],\n  \"main_risk\": \"Co-mingling tenant data in a shared database schema requires rigorous row-level security implementation to prevent cross-tenant leaks.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16245,"probe_id":5957,"sample":1,"system":"b2b_saas","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Serverless SaaS with shared-nothing compute\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": \"Meta\",\n    \"delivery\": \"client\",\n    \"reason\": \"Industry standard for web UIs with rich SPAs\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"Swift Kotlin\",\n    \"service\": null,\n    \"provider\": \"Apple Google\",\n    \"delivery\": \"client\",\n    \"reason\": \"Native SDKs support offline sync and push notifications\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Python\",\n    \"service\": null,\n    \"provider\": \"PSF\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Rich ecosystem for async tasks and data processing\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"FastAPI\",\n    \"service\": null,\n    \"provider\": \"tiangolo\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Auto-generated OpenAPI, type hints, async I/O for scale\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": null,\n    \"service\": \"Amazon API Gateway\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Unified REST/WebSocket gateway with auth and throttling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Amazon Aurora PostgreSQL\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Strong ACID transactions, JSONB, and RDS tooling\"\n  }, {\n    \"role\": \"secondary_database\",\n    \"technology\": \"Redis\",\n    \"service\": \"Amazon MemoryDB for Redis\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"High-throughput session cache and rate limiting\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": null,\n    \"service\": \"Amazon Simple Queue Service\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Durable message queuing at any scale without ops burden\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": null,\n    \"service\": \"Amazon OpenSearch Service\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Full-text search and log analytics under same compliance\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": null,\n    \"service\": \"Amazon Simple Storage Service\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Unlimited durable storage with lifecycle and versioning\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": null,\n    \"service\": \"Amazon API Gateway WebSockets\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Bidirectional updates without polling or heartbeat ops\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"Amazon Cognito\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Multi-tenant identity, MFA, and social logins in one\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"AWS Lambda\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Auto-scale, serverless compute aligned to SaaS billing\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Terraform\",\n    \"service\": null,\n    \"provider\": \"HashiCorp\",\n    \"delivery\": \"client\",\n    \"reason\": \"Repeatable immutable infrastructure across all environments\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": null,\n    \"service\": \"Amazon CloudWatch\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Logs, metrics, and dashboards out-of-the-box with SLA\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": null,\n    \"service\": \"Amazon Athena\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Serverless SQL queries on raw audit logs without ETL\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"GitHub Actions\",\n    \"service\": null,\n    \"provider\": \"GitHub\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Tight coupling with Git and zero-cost runners for OSS\"\n  }],\n  \"main_risk\": \"Vendors’ proprietary services may increase lock-in and costs at scale.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16390,"probe_id":5957,"sample":1,"system":"b2b_saas","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native multi-tenant SaaS\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React (Next.js)\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast edge builds and static hosting for multi-tenant UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript / Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High developer productivity and rich ecosystem for APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated structure, DI, and scalable modules for business logic.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST/JSON)\",\n      \"service\": \"Amazon API Gateway (REST & WebSocket)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized REST surface and managed gateway with throttling and auth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions and row-level security for tenant isolation and billing.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"High-concurrency analytics, billing reports, and long-term audit querying.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and ephemeral locks for real-time coordination.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS (message queue)\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable background-job and event delivery with retry semantics.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and fast project/task queries across tenants.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Immutable raw audit logs, attachments, and cost-effective long-term retention.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway (WebSocket)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed WebSocket connections for live task updates and presence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / SAML\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise SSO, SAML, and fine-grained user provisioning support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"AWS Fargate (ECS)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers reduce infra operations and scale per service.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"ECS (controller/orchestrator)\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simple managed orchestration integrated with Fargate and AWS services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"APM + Logging + Metrics\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified traces, metrics, and logs for production debugging and alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with secrets, workflows, and deployment actions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Event routing / CDP\",\n      \"service\": \"Segment (Twilio)\",\n      \"provider\": \"Twilio Segment\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized event routing to Snowflake, Amplitude, and billing pipelines.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Billing, subscriptions, invoicing, and PCI-compliant payment handling.\"\n    }\n  ],\n  \"main_risk\": \"Misconfigured tenant isolation (RLS/authorization) could expose tenant data across accounts.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16156,"probe_id":5957,"sample":1,"system":"b2b_saas","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"web UI for task management\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"multi-tenant and admin features\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID multi-tenant data store\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"session and query speed\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"tenant-aware user auth\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"saas\",\n    \"reason\": \"file attachments storage\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"ecs\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"container runtime for django\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"opentelemetry\",\n    \"service\": \"cloudwatch\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"logs metrics traces\"\n  }],\n  \"main_risk\": \"Single database becomes bottleneck for tenant growth and audits.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16166,"probe_id":5958,"sample":1,"system":"b2b_saas","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic SaaS with managed PostgreSQL\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-cost SPA framework; deployed to object storage with CDN\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development; strong ecosystem for business logic and billing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, auth, admin panel reduce engineer burden\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, sufficient for project/task management; avoids GraphQL complexity\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-tenant support; jsonb for flexible schemas; managed reduces ops overhead\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session/permission caching; reduces database load for two engineers\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async billing, audit logs, notifications; reuses Redis backend\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Attachments, exports, static assets; pay-per-use fits budget constraint\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Django built-in auth; optional SSO via third-party bridge if needed later\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"AWS Lightsail\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fixed $5–10/month; monolith fits single small instance; no orchestration overhead\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Application Logs\",\n      \"service\": \"CloudWatch\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier logs; audit trail built into Django models; no separate expense\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; sufficient for two-engineer team; pushes to Lightsail\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostgreSQL queries\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Audit logs and metrics queried from primary DB; no separate analytics tool needed\"\n    }\n  ],\n  \"main_risk\": \"Single Lightsail instance is a single point of failure; insufficient for HA but acceptable for launch phase with two engineers.\",\n  \"first_component_to_replace_at_scale\": \"hosting (migrate from Lightsail to ECS/Fargate with auto-scaling and load balancing)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16231,"probe_id":5958,"sample":1,"system":"b2b_saas","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular_monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Hotwire (Turbo & Stimulus)\",\n      \"service\": null,\n      \"provider\": \"37signals\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Eliminates a separate frontend build, keeping development simple for two engineers.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Ruby\",\n      \"service\": null,\n      \"provider\": \"Ruby community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature language with a rich ecosystem for SaaS development.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Ruby on Rails\",\n      \"service\": null,\n      \"provider\": \"Rails community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Convention-over-configuration monolith that integrates multi-tenancy, billing, and audit logs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monolithic API served directly from Rails controllers with Jbuilder.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Multi-tenancy via row-level security, full-text search, and audit tables on a single instance.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight instance on the same VPS for fragment caching and session store.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"Sidekiq\",\n      \"provider\": \"Mike Perham\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Redis-backed job queue for billing, email, and audit log batching.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Spaces\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cheapest managed S3-compatible storage for project attachments at $5/month.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Action Cable\",\n      \"provider\": \"Rails community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time task updates with minimal additional infrastructure.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Devise\",\n      \"service\": null,\n      \"provider\": \"Plataformatec\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust authentication library for multi-tenant user management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VPS\",\n      \"service\": \"CX22\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"4 GB RAM, 2 vCPU VPS under €6/month hosts all self-managed components.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Honeycomb\",\n      \"provider\": \"Honeycomb.io\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Generous free tier for traces and logs, essential for debugging with two engineers.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for small teams with minutes included, covers continuous delivery to the VPS.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"JavaScript SDK\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier up to 1 million events/month for product analytics without self-hosting overhead.\"\n    }\n  ],\n  \"main_risk\": \"A single VPS hosts all critical stateful services; audit log growth and scaling read/write patterns may force a premature database migration.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16170,"probe_id":5958,"sample":1,"system":"b2b_saas","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"High developer productivity and zero-config deployment for small teams.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Allows sharing code/types between frontend and backend efficiently.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-stack framework simplifies routing and API development.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless billing model aligns with low-cost startup constraints.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Auth0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces engineering overhead for security and multi-tenant user management.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees keep infrastructure costs predictable and low.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Essential for rapid debugging in a small two-person team.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers all deployment needs for small teams.\"\n    }\n  ],\n  \"main_risk\": \"Database connection exhaustion during high concurrent traffic spikes due to serverless cold starts.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16178,"probe_id":5958,"sample":1,"system":"b2b_saas","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero setup, free tier sufficient, global CDN included\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-stack ability with serverless functions\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"API routes + React, integrates with Vercel seamlessly\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Next.js API Routes\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in, no extra cost for first 1M requests/month\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless Postgres with free tier, instant provisioning\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier 10MB, fully managed, simple key-value\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Same Redis for cache, reduces infra sprawl\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free 10GB egress, no bandwidth costs, S3-compatible\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Built-in full-text search on Neon, zero extra infra\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier includes SSO, MFA, audit logs, and RBAC\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Deploys API routes, frontend, and cron jobs unified\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Vercel Analytics\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free built-in logs and traces for Vercel deployments\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated into hosting, free for personal use\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Vercel Analytics\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free page views, sessions, and performance metrics\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"Resend Transactional Emails\",\n      \"provider\": \"Resend\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free 3k emails/month, REST simple integration\"\n    }\n  ],\n  \"main_risk\": \"Scale limits of Neon free tier (10k writes/week) may be hit early.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16182,"probe_id":5958,"sample":1,"system":"b2b_saas","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-vm-managed-db\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap static hosting with global CDN and free tier.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Familiar, low-ops, rich ecosystem for async web and background jobs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async API with built-in OpenAPI generation.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP JSON REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard interoperable API for B2B integrations and SDKs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"DigitalOcean Managed PostgreSQL\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational DB, multi-tenant features, affordable managed tier.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory cache and queue backend hosted on the same VPS to save cost.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis-based queue (RQ)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight background jobs using the existing Redis instance.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Avoids extra service; Postgres full-text suffices for task search initially.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Very low-cost object storage for attachments and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (WS)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple WebSocket server inside FastAPI for live notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / JWT (self-managed)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Implement OAuth2 password flow with JWT to avoid third-party auth costs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"x86 VPS\",\n      \"service\": \"Hetzner Cloud CX11\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Very low-cost VPS to host app, Redis, and Docker within budget.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple container orchestration for a two-engineer team on one VPS.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error monitoring\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Hosted error tracking with a generous free tier and quick setup.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI with integrated repo hosting and simple YAML workflows.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Industry-standard billing and subscription handling with robust APIs.\"\n    }\n  ],\n  \"main_risk\": \"Single VPS hosts core runtime, creating a single point of failure and scaling bottleneck.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16191,"probe_id":5958,"sample":1,"system":"b2b_saas","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"serverless monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"next.js\",\n    \"service\": null,\n    \"provider\": \"vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"unifies UI, API routes and cheap hosting\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"managed multi-tenant storage plus RLS under budget\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"supabase auth\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"row-level auth integrated with database\"\n  }, {\n    \"role\": \"other\",\n    \"technology\": null,\n    \"service\": \"stripe\",\n    \"provider\": \"stripe\",\n    \"delivery\": \"saas\",\n    \"reason\": \"standard subscription billing and invoicing\"\n  }],\n  \"main_risk\": \"Supabase concurrent connection limits reached before month-12 budget\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16195,"probe_id":5959,"sample":1,"system":"b2b_saas","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed multi-tenant SaaS with event-driven processing\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"High-performance UI for complex project management workflows\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend reduces maintenance at 10M MAU scale\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles 100K concurrent users efficiently with minimal resource overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency inter-service communication for complex task workflows\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with gRPC gateway\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for clients, gRPC internally for performance and multi-tenancy isolation\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL with logical replication\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for billing; managed handles 10M user scale and failover\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search for tasks and audit logs across millions of records\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis Cluster\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session caching and rate limiting for 100K concurrent users\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Pub/Sub\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event-driven billing processing and audit log durability at scale\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Attachment and audit log archive storage for compliance\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time task updates across team members in low-latency scenarios\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Multi-tenant isolation via token claims; SSO support for enterprise\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling handles 100K concurrent peaks; multi-region support\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Service mesh (Istio) for multi-tenant traffic isolation and canary deploys\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloud Trace, Cloud Logging, Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Distributed tracing for 100K concurrent requests; audit compliance\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitOps\",\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Automated multi-tenant deployment pipelines with immutable releases\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Petabyte-scale billing analytics and audit reporting for compliance\"\n    }\n  ],\n  \"main_risk\": \"Multi-tenant data isolation failures could expose task or billing data across customers; mitigated by consistent row-level security policies and audit logging.\",\n  \"first_component_to_replace_at_scale\": \"Redis Cluster—move billing and session state to Cloud Spanner for stronger consistency guarantees at next scale inflection\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16253,"probe_id":5959,"sample":1,"system":"b2b_saas","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-Driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Modular SPA with wide ecosystem for B2B dashboards.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Shared UI code with web, fast cross-platform iteration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java 21\",\n      \"service\": null,\n      \"provider\": \"OpenJDK\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature, high-throughput, rich library support for billing precision.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot 3\",\n      \"service\": null,\n      \"provider\": \"Spring\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enterprise-grade, non-blocking reactive stack for high concurrency.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Router\",\n      \"provider\": \"Apollo Graph, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Federated supergraph combines project and billing domains efficiently.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL 16\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions essential for billing, with row-level security per tenant.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Seamless scaling for high-velocity immutable audit log writes.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session, rate-limit, and hot query caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, partitioned event backbone for audit and async processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Instant project/task full-text search with tenant isolation filters.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable file attachments and system backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably Realtime\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable pub/sub for live task updates to 100k concurrent clients.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Multi-tenant SSO, fine-grained RBAC, and user management out-of-the-box.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global regions with managed services under one security boundary.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Autoscaling microservices across AZs, integrates with AWS IAM.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog, Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified APM, logs, and infrastructure monitoring across the stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with code repos, easy container build and deploy.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics with session replay, self-hosted for data privacy.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Subscription billing, invoicing, and payment processing.\"\n    }\n  ],\n  \"main_risk\": \"Ensuring strict tenant data isolation and billing idempotency under 100k concurrent operations across services.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}","model_label":"DeepSeek"},{"response_id":16200,"probe_id":5959,"sample":1,"system":"b2b_saas","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for complex, interactive state management in B2B SaaS.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent concurrency handling and performance for high-throughput concurrent user requirements.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly reliable ACID compliance and robust multi-tenant partitioning capabilities.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Elasticache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency sub-millisecond data access for session handling and frequent task lookups.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles massive asynchronous event streams for audit logs and background task processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly available and durable storage for file attachments and audit log exports.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex security compliance, SSO, and identity management to specialized experts.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Efficiently scales workloads horizontally to meet significant variations in concurrent user traffic.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified visibility into distributed traces and logs across microservices for fast incident resolution.\"\n    }\n  ],\n  \"main_risk\": \"Database connection saturation caused by sudden spikes in concurrent multi-tenant transactional demand.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16208,"probe_id":5959,"sample":1,"system":"b2b_saas","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted, strong ecosystem.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform, consistent with web.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"go-gin\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, performs well.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"client\",\n      \"reason\": \"Efficient data fetching for clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, ACID, strong extensions.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High throughput, low latency cache.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified cache for frequent reads.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput, ordered events.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text and structured search.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Scalable, durable file storage.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Low-latency updates for users.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Scalable multi-tenant auth flows.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Bare-metal like control, cost-effective.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container management.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Unified metrics, logs, traces.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Native to Git repositories.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Columnar analytics at scale.\"\n    }\n  ],\n  \"main_risk\": \"Managing concurrency and latency at multi-tenant scale.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16220,"probe_id":5959,"sample":1,"system":"b2b_saas","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices_event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive web UI with component reuse and broad ecosystem.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile with shared codebase and fast iteration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low latency, high concurrency, and small memory footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with performance and ecosystem fit.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Predictable REST APIs and automatic client SDK generation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions, relational schemas, and horizontal read scaling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Massively scalable analytics for billing, reporting, and usage queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and distributed counters for high concurrency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput durable event streaming and ordered processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search, faceting, and fast filtered queries for tasks.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable object storage for attachments, exports, and audit archives.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable websocket connections for presence and live updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect/OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise SSO, multi-tenant auth, and standards compliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VMs/EC2\",\n      \"service\": \"Amazon EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable compute for non-container workloads and operational control.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with autoscaling and deployment control.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized traces, metrics, and logs with alerting and dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD, secrets, and workflow automation tied to repo.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User behaviour analytics for product optimization and billing verification.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"PCI-compliant payment gateway\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Subscription billing, invoicing, and secure PCI-compliant payments.\"\n    }\n  ],\n  \"main_risk\": \"Multi-tenant noisy-neighbor effects and uneven tenant resource usage causing unpredictable latency and cost at scale.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16217,"probe_id":5959,"sample":1,"system":"b2b_saas","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard SPA for project UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high throughput for 100k concurrent\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"strong multi-tenant isolation\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"low-latency tenant caching\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": \"msk\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"async billing and audit events\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"s3\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"task attachments and exports\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"tenant-aware user auth\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"opentelemetry\",\n    \"service\": \"cloudwatch\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"metrics and distributed tracing\"\n  }],\n  \"main_risk\": \"Distributed transactions across microservices may cause consistency delays at peak load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16229,"probe_id":5960,"sample":1,"system":"b2b_saas","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"multi-tenant SaaS with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard SaaS UI framework; EU hosting via CDN satisfies data residency\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development; strong ecosystem for multi-tenancy and billing integrations\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, authentication, admin; mature multi-tenancy patterns; EU-friendly\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for SaaS; simple tenant isolation via request context\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong ACID guarantees for billing; row-level security supports multi-tenancy; self-hosted in EU\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Read replica in EU region for audit log queries without impacting primary\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage and tenant configuration cache; self-hosted EU instance\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous billing calculations, audit log writes, email notifications\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Adequate for task/project search; avoids additional service; maintains EU residency\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible API\",\n      \"service\": \"Wasabi or MinIO\",\n      \"provider\": \"Wasabi or self-hosted MinIO\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective document/attachment storage; EU region available; S3 API familiarity\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Task updates and collaboration; minimal complexity; Django Channels in EU container\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed ensures EU data residency; Django REST framework integration straightforward\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"OVHcloud or Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU cloud with strong data residency commitments; cost-effective; multi-zone HA\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"OVHcloud or Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native container orchestration; operators manage helm charts; EU infrastructure\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + ELK\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack; self-hosted in EU ensures logs never leave jurisdiction\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com or self-hosted\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option; integrated SCM; strong audit trail for compliance\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU hosting available; product analytics; self-hosted option if needed\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe Billing\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"PCI compliance handled; EU payment processing; reconciliation via webhooks\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Temporal.io\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable audit log and billing workflows; self-hosted in EU cluster\"\n    }\n  ],\n  \"main_risk\": \"EU data residency constraints limit vendor choice; migration complexity if regulatory requirements tighten.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL full-text search → Elasticsearch when query complexity and tenant isolation overhead exceed single-node capacity\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16308,"probe_id":5960,"sample":1,"system":"b2b_saas","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven modular monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive SPA for responsive project and task management UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe language shared between frontend and backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"Open Source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, opinionated framework for scalable server-side applications.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized API for B2B integrations and predictable semantics.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-tenant relational store with row-level security, EU-hosted.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caching, session store, and rate limiting, EU-hosted.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event stream for audit logs and billing events, EU-hosted.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Aiven for Elasticsearch\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across projects and tasks, EU-hosted.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted durable storage for attachments and audit log archives.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed real-time collaboration with UK/EU infrastructure.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OIDC\",\n      \"service\": \"Zitadel Cloud\",\n      \"provider\": \"Zitadel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European identity provider with native multi-tenancy, GDPR compliant.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud Virtual Machines\",\n      \"service\": \"Scaleway Compute\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-only cloud compute, French provider.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed container orchestration matching EU residency requirements.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted metrics, logs, and traces with Prometheus/Loki/Tempo.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD Pipeline\",\n      \"service\": \"Buddy\",\n      \"provider\": \"Buddy\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European CI/CD platform with native integrations, EU-hosted.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product Analytics\",\n      \"service\": \"PostHog (self-hosted)\",\n      \"provider\": \"PostHog Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted to ensure event data stays inside EU boundaries.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Subscription Management\",\n      \"service\": \"Paddle\",\n      \"provider\": \"Paddle\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU merchant of record handling VAT, invoicing, and recurring billing.\"\n    }\n  ],\n  \"main_risk\": \"Accidental cross-tenant data leakage due to application bugs, requiring strict access controls and continuous testing.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16230,"probe_id":5960,"sample":1,"system":"b2b_saas","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem with superior developer productivity for complex UIs.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Allows type-safe code sharing between frontend and backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Enforces a structured, scalable architecture suitable for multi-tenant B2B systems.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable ACID compliance with strong JSONB support for flexible task schemas.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency data access for session management and frequently queried project data.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management including SSO and audit compliance requirements.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust orchestration and regional EU-West data residency controls.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified platform for monitoring performance and security-critical audit logs.\"\n    }\n  ],\n  \"main_risk\": \"Data residency requirements necessitate strict configuration of regional cloud zones to ensure compliance.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework\"\n}","model_label":"Gemini (lite)"},{"response_id":16238,"probe_id":5960,"sample":1,"system":"b2b_saas","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"multi-tenant SaaS with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Industry standard for SPAs, excellent ecosystem.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase with web, reduces maintenance burden.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong concurrency, low latency, ideal for multi-tenant APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance, minimal overhead, fits Go APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Edge computing for global scalability and DDoS protection.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance, multi-AZ HA, EU region support.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast OLAP for analytics and audit logs, EU-friendly.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Persistent caching with multi-AZ failover, EU region.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"Synadia\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance pub/sub in EU data centers.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch SAS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast, typo-tolerant search with EU data residency.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable, GDPR-compliant storage in EU regions.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Ably\",\n      \"provider\": \"Ably Ltd\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted realtime messaging with audit guarantees.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade auth with EU data residency options.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with EU region reach, no Kubernetes complexity.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Seamless CI/CD with IaC, Git-native experience.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted metrics/logs/traces with cost-effective plans.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowplow\",\n      \"provider\": \"Snowplow Analytics\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-compliant event tracking with EU data processing.\"\n    },\n    {\n      \"role\": \"other\",\n      \"role\": \"audit_logs\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Immutable append-only tables ensure traceability and integrity.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on AWS for primary services may limit EU provider options.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16256,"probe_id":5960,"sample":1,"system":"b2b_saas","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-managed microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SSR and component reuse with performant web UX.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Expo\",\n      \"provider\": \"Expo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform apps reusing web business logic.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety with high developer velocity and ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, testable structure for large service codebases.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Server\",\n      \"provider\": \"Apollo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible client-driven APIs for complex multi-tenant data.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL (eu-central-1)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions and mature multi-tenant support in EU region.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud (EU region)\",\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance analytical queries for billing and audits.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis (EU)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and distributed locking.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS (EU)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, serverless background job delivery with at-least-once semantics.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service (EU)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and indexed log storage with EU residency.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3 (eu-central-1)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, encrypted EU object storage with fine-grained IAM.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket (EU)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, low-latency push notifications hosted in-region.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": \"Self-hosted Keycloak\",\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control over identities and EU-only deployment.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS (eu-central-1)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed k8s in EU for predictable, compliant deployments.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Argo CD\",\n      \"service\": \"Argo CD\",\n      \"provider\": \"Argo Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative GitOps deployments and environment drift prevention.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus+Grafana\",\n      \"service\": \"Self-hosted Prometheus and Grafana\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source metrics and dashboards keeping data in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature pipelines, reusable actions, and enterprise controls.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"Self-hosted PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics with EU self-hosting for privacy compliance.\"\n    }\n  ],\n  \"main_risk\": \"AWS regional dependence and vendor lock-in risk causing service disruption and complicating EU data portability.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16246,"probe_id":5960,"sample":1,"system":"b2b_saas","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"multi-tenant monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard SPA for task UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": null,\n    \"reason\": \"strong ORM and multi-tenancy support\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in tenant isolation and admin\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"Managed PostgreSQL\",\n    \"provider\": \"Scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU data residency with row-level security\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted EU identity and audit\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"Kapsule\",\n    \"provider\": \"Scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU-based managed cluster\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and audit log collection\"\n  }],\n  \"main_risk\": \"django monolith may limit independent scaling of billing and audit features\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16257,"probe_id":5961,"sample":1,"system":"b2b_saas","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Multi-tenant SaaS with event-driven architecture\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"client\",\n      \"reason\": \"Declarative UI, rich ecosystem, handles multi-tenant UI complexity\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, strong typing with Pydantic, excellent async support\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in OpenAPI, async-first, validation, ideal for multi-tenant APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, stateless, cacheable, simplifies multi-tenant access control\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance critical for billing, row-level security for multi-tenancy\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Read replica for audit logs and analytics queries, reduces primary load\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session management, rate limiting, task queue communication\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous billing, audit logging, notifications without blocking API\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated with primary database, sufficient for project/task search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, handles file attachments, audit log archives\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, stateless, multi-tenant friendly, integrates with FastAPI\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration with scaling, high availability, multi-tenancy isolation\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native pod orchestration, service discovery, persistent volume management\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, log aggregation; audit trail via structured logging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated version control, pipeline automation, no additional infrastructure\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostgreSQL with TimescaleDB extension\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series data for billing metrics, tenant usage analytics\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL replication lag during high-volume billing operations could cause consistency issues; mitigate with write-ahead logging and read-replica lag monitoring.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL full-text search should migrate to Elasticsearch or OpenSearch when search complexity exceeds database query performance\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16339,"probe_id":5961,"sample":1,"system":"b2b_saas","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single-page application for project/task management, self-hosted static assets.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured server-side framework for business logic and API routing.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"RESTful HTTP API for multi-tenant operations consumed by the frontend.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for tenants, users, projects, tasks, and billing metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory cache for session data and frequent read queries.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Message broker for async tasks like email, billing events, and webhooks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search across projects/tasks and durable audit log storage.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage for file attachments and data exports.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Centrifugo\",\n      \"service\": null,\n      \"provider\": \"Centrifugal Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable WebSocket server for live task updates and notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect IAM for multi-tenant authentication and RBAC.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Kill Bill\",\n      \"service\": \"Kill Bill\",\n      \"provider\": \"Kill Bill LLC\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source billing engine for subscriptions, invoices, and gateway mediation.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Virtual or physical machines to run all platform services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for deploying, scaling, and managing services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards via self-hosted Grafana stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed CI/CD pipelines to test and deploy the platform.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": \"Metabase\",\n      \"provider\": \"Metabase Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Business intelligence and tenant-usage reporting dashboards.\"\n    }\n  ],\n  \"main_risk\": \"External payment gateway dependency (e.g., Stripe) introduces PCI compliance burden and single point of failure.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16262,"probe_id":5961,"sample":1,"system":"b2b_saas","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for complex, interactive task-management interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers excellent performance, static binaries, and strong concurrency for multi-tenant workloads.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe, efficient communication between services and internal modules.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable ACID compliance and robust relational modeling for multi-tenant data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Extremely low-latency key-value store for session management and query caching.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance S3-compatible storage for user attachments and audit log archives.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"JBoss\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured open-source identity and access management for B2B multi-tenancy requirements.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized platform for deploying and scaling self-hosted containerized workloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for time-series metrics and alerting.\"\n    }\n  ],\n  \"main_risk\": \"Operating and securing a self-hosted Kubernetes cluster and Keycloak instance increases significant infrastructure management overhead.\",\n  \"first_component_to_replace_at_scale\": \"backend_language\"\n}","model_label":"Gemini (lite)"},{"response_id":16267,"probe_id":5961,"sample":1,"system":"b2b_saas","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Monolithic API with modular components\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Industry standard for SPAs with rich interactivity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"client\",\n      \"reason\": \"Strong typing reduces production bugs in large codebases.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Opinionated enterprise-grade Node.js framework for APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"REST\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Simple and widely supported contract for clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust multi-tenant capabilities and ACID compliance.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast in-memory store for sessions and rate limiting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond data retrieval for query-heavy features.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"The RabbitMQ Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable message broker for background jobs.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"pg_trgm & GIN indexes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in text search avoids external dependency.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible self-hosted object store for files.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature OIDC authentication server with multi-tenancy.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": null,\n      \"provider\": \"Docker Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard container runtime for deployment consistency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for automating containerized apps.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Prometheus Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and visualization for system health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with source control.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted RabbitMQ cluster may require significant operational overhead at scale.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16274,"probe_id":5961,"sample":1,"system":"b2b_saas","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Componentized, widely adopted SPA framework for rich browser UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, compiled, simple concurrency for scalable backend services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with good performance and ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized, documentable API surface for multi-tenant integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactional multi-tenant data, mature replication and extensions.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput analytics and audit-log storage for large-scale queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching, rate-limiting counters, and short-lived locks.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming for events, integrations, and analytics pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for tasks, projects, and tenant-scoped queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object store for attachments and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"Synadia\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight pub/sub for real-time presence and live updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat / Keycloak Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/SAML, multi-tenant realms, and enterprise SSO support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux (Ubuntu LTS)\",\n      \"service\": null,\n      \"provider\": \"Canonical\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable OS for servers and containers with long-term support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, and multi-tenant isolation primitives.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana/Loki\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and log aggregation for operations and auditing.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": null,\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated self-hosted CI/CD and repository management for deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": null,\n      \"provider\": \"Metabase, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ad-hoc BI and dashboards for customers and internal product analytics.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Kill Bill\",\n      \"service\": null,\n      \"provider\": \"Kill Bill Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source billing/subscription engine suitable for B2B SaaS billing.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of deploying and maintaining many self-hosted distributed open-source components increases failure and staffing risk.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16279,"probe_id":5961,"sample":1,"system":"b2b_saas","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA multi-tenant B2B SaaS for project and task management with billing and audit logs.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"browser-based UI for task management\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"core runtime for business logic\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles multi-tenancy and billing\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores projects, tasks, audit logs\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"session and query caching\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async jobs and billing events\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"minio\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"attachments and exports\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"tenant-aware identity and access\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container scheduling and scaling\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"gitlab\",\n    \"service\": null,\n    \"provider\": \"gitlab\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"build and deploy pipelines\"\n  }],\n  \"main_risk\": \"Database contention under high multi-tenant write load\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16291,"probe_id":5962,"sample":1,"system":"realtime_chat","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices with event streaming\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Standard SPA framework for responsive team chat UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Share codebase with frontend for iOS and Android deployment\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for high-throughput messaging and presence tracking\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency inter-service communication for real-time operations\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for standard operations, WebSocket for bidirectional presence and messages\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for messages, channels, and user data with proven scalability\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": \"AWS DocumentDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible schema for message metadata and audit logs with horizontal scaling\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast presence state, user sessions, and recent message caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"AWS MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event streaming for message ordering, replay, and consumer decoupling\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"AWS OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across messages with near-real-time indexing\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable storage for shared files with built-in redundancy\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser support for live presence, typing indicators, message delivery\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless token auth scalable across multiple backend instances\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"AWS EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with auto-scaling for variable chat load\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"AWS EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native service discovery, rolling updates, and health management\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": \"AWS CloudWatch with X-Ray\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, tracing, and logs for debugging distributed real-time system\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated workflow automation for testing and ECR image publishing\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"Google BigQuery\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Warehouse for message activity patterns and user engagement metrics\"\n    }\n  ],\n  \"main_risk\": \"WebSocket connection management under millions of concurrent users requires careful load balancing and state synchronization across backend instances.\",\n  \"first_component_to_replace_at_scale\": \"Redis cache will become bottleneck; upgrade to Redis Cluster or replace with distributed cache\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16351,"probe_id":5962,"sample":1,"system":"realtime_chat","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"real-time event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for responsive real-time chat UI.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile apps with shared code.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Elixir\",\n      \"service\": null,\n      \"provider\": \"Elixir Core Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, fault-tolerant, ideal for real-time messaging.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Phoenix\",\n      \"service\": null,\n      \"provider\": \"Chris McCord\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in Channels for WebSocket real-time.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRUD operations for channels, users, file metadata.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for messages, channels, user data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Presence state and ephemeral pub/sub.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decoupled async jobs for file processing and indexing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across chat history.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for shared files.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Persistent connections for instant messaging and presence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Authentication, SSO, and token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cloud infrastructure with global regions.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for backend services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logging, metrics, and APM.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deploy pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Mixpanel\",\n      \"provider\": \"Mixpanel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product usage and user engagement analytics.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"CDN\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global edge cache for file downloads and static assets.\"\n    }\n  ],\n  \"main_risk\": \"Scaling millions of concurrent WebSocket connections and presence requires meticulous Elixir cluster management and load testing.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16293,"probe_id":5962,"sample":1,"system":"realtime_chat","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for complex, stateful real-time interactive interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency efficiency is critical for maintaining persistent WebSocket connections.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and relational modeling ensure message history integrity.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryStore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency presence tracking and session management.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Pub/Sub\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable global message broadcasting to multiple backend instances.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Advanced full-text search capabilities for large-scale message archives.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, durable storage for user-uploaded files and media.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container management for heterogeneous service scaling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex security compliance, MFA, and identity management.\"\n    }\n  ],\n  \"main_risk\": \"Degraded latency in message delivery during sudden traffic spikes due to WebSocket overhead.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16298,"probe_id":5962,"sample":1,"system":"realtime_chat","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first real-time SaaS\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant frontend framework with strong ecosystem.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": null,\n      \"reason\": \"Concurrency model ideal for WebSocket-heavy workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http\",\n      \"service\": null,\n      \"provider\": \"Go\",\n      \"delivery\": null,\n      \"reason\": \"Bare standard library sufficient; no overkill frameworks.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST/gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"REST for simplicity, gRPC for inter-service if monolith splits.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": null,\n      \"reason\": \"Reliable ACID for messages and transactions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Redis\",\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond access for presence and hot queries.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Algolia\",\n      \"provider\": \"Algolia\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Instant search-as-you-type faster than operating own.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable file storage with lifecycle policy.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Standard protocol for persistent real-time channels.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Outsource OAuth, MFA, and token rotation securely.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container runtime scales CPU/memory instantly.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"De facto orchestration with multi-region support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified traces, metrics, and logs with low overhead.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight repo integration and matrix builds out of box.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Feature flags, session replay, event trends in one.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes during message storms may overwhelm WebSocket handlers.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16318,"probe_id":5962,"sample":1,"system":"realtime_chat","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven_microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast SSR/static hosting and simple CDN deployments for web client.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Expo\",\n      \"provider\": \"Expo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android and faster OTA workflows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, small binary footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/JSON (REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, widely supported client APIs and proxy integration with WebSockets.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity, complex queries, and predictable ACID for messages/metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache (Redis)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast presence store, session maps, and short-lived message fanout keys.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable high-throughput event bus for audit and cross-service fanout.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and relevance over messages and files metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, versioned file storage with scalable bandwidth.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"AWS API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed WebSocket ingress with native integrations to backend.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise SSO, team directory integrations, and token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified cloud provider for compute, networking, and managed services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, autoscaling, and service mesh support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Hosted metrics, alerting, and dashboards with minimal ops.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with easy pipeline-as-code and deployment actions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable analytics warehouse for product and usage reporting.\"\n    }\n  ],\n  \"main_risk\": \"Real-time fan-out and durable message writes will create operational and cost pressure on WebSocket, cache, and database layers at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16307,"probe_id":5962,"sample":1,"system":"realtime_chat","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime client-server\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"SPA for channels and chat UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"JavaScript\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"unifies API and realtime logic\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID for messages and channels\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"presence and realtime pubsub\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"Elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full-text message and file search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3\",\n    \"service\": null,\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"durable file sharing storage\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket\",\n    \"service\": \"Socket.IO\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"low-latency messaging and presence\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"JWT\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stateless session validation\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"EC2\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"VMs for all server components\"\n  }],\n  \"main_risk\": \"Redis failure drops realtime presence and delivery.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16319,"probe_id":5963,"sample":1,"system":"realtime_chat","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Serverless monolith with managed services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Lightweight, component-based UI for real-time chat interface\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend reduces two-engineer maintenance burden\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single language across stack minimizes context switching for small team\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, fast setup, ideal for lean team productivity\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for standard operations, WebSocket for real-time chat and presence\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier supports production workloads, serverless scaling, built-in search capabilities\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier Redis, pay-as-you-go, ideal for presence state and session management\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL Full-Text Search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native to primary database, no additional service cost, adequate for team chat scale\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"No egress fees, free tier generous for file sharing, cost-predictable\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native Express.js capability, no additional service dependency required\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless authentication fits serverless model, no third-party cost\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Node.js\",\n      \"service\": \"Railway or Render\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier includes production deployment, PostgreSQL, Redis integration, ideal for startup budget\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier for public repos, integrated with source control, minimal setup\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": \"Axiom\",\n      \"provider\": \"Axiom\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier sufficient, generous log ingestion, simple debugging for small team\"\n    }\n  ],\n  \"main_risk\": \"Single application instance on Railway free tier lacks redundancy; must upgrade plan if uptime SLA required beyond development tolerances.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16129,"probe_id":5963,"sample":1,"system":"realtime_chat","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Monolithic (real-time MVC)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for real-time chat UI.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Reuse React code for iOS/Android with two engineers.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Elixir\",\n      \"service\": null,\n      \"provider\": \"Erlang Ecosystem Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrency and fault tolerance for real-time messaging.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Phoenix\",\n      \"service\": null,\n      \"provider\": \"The Phoenix Framework Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in WebSockets, Channels, and Presence for chat.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable, full-text search, and supports Oban job queue.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast presence tracking and ephemeral state.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees, free tier covers file sharing needs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cheap VPS ($5/month) runs entire stack under budget.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, simple CI for monolith.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier monitoring for logs, metrics, and traces.\"\n    }\n  ],\n  \"main_risk\": \"Single VPS bottlenecks WebSocket connections and database performance as user count grows.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16322,"probe_id":5963,"sample":1,"system":"realtime_chat","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Large ecosystem and excellent developer productivity for a two-person team.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified language across stack minimizes context switching for small team.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performance and low overhead for resource-constrained instances.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Managed Database\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable, well-understood RDBMS that handles complex relational chat data.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Pusher\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex stateful connection management to a managed service.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Spaces\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, simple integration for storing user-uploaded files.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces security overhead and acceleration of user management implementation.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"App Platform\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simplifies deployment and scaling while staying within the $200 budget.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Leveraging GIN indexes avoids cost and complexity of a separate search engine.\"\n    }\n  ],\n  \"main_risk\": \"Database performance bottleneck as the volume of chat history and concurrent presence lookups grows.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16328,"probe_id":5963,"sample":1,"system":"realtime_chat","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless real-time chat\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant, well-supported frontend framework\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Non-blocking I/O ideal for real-time systems\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast and low-overhead Node.js framework\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Appwrite\",\n      \"provider\": \"Appwrite\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bundled realtime, auth, storage, and search for $0\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable Postgres with branching and serverless ops\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"High-speed pub/sub required by real-time chat\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Pusher Channels\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Battle-tested WebSocket abstraction billed per MAU\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Appwrite Auth\",\n      \"provider\": \"Appwrite\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrates directly with Appwrite backend\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Meilisearch\",\n      \"provider\": \"Meilisearch SAS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Lightning-fast typo-tolerant search for $0 up to 1 GB\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheapest durable object storage with 10 GB free tier\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Railway\",\n      \"provider\": \"Railway Corp.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplest managed containers, scales to zero cost\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"2000 minutes free monthly CI for public repos\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Functional Software\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Frontend error tracking 5000 events free/month\"\n    }\n  ],\n  \"main_risk\": \"Lock-in to Appwrite may slow future scalability decisions.\",\n  \"first_component_to_replace_at_scale\": \"api\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16342,"probe_id":5963,"sample":1,"system":"realtime_chat","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"Supabase-first serverless\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React (PWA)\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-cost static hosting and PWA for single codebase mobile/web.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Supabase Edge Functions\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast developer iteration and shared types with frontend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Deno runtime\",\n      \"service\": \"Supabase Edge Functions\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight edge runtime for serverless APIs and background tasks.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP + WebSocket\",\n      \"service\": \"Supabase Edge Functions + Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"REST for CRUD and WebSocket for low-latency presence/messages.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational schema, transactions, and built-in realtime integration.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search (tsvector, pg_trgm)\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Supports channel and message search without adding external service.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets via Postgres replication\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides presence and push messaging with minimal infra maintenance.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT + OAuth\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Secure user management with social login and session tokens.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores files with signed URLs and edge delivery integration.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Managed SaaS (edge functions and DB)\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Consolidates backend services to minimize operational burden and cost.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free-tier CI/CD integrated with repo and automatic deploys.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on Supabase managed services risks vendor lock-in and rising costs as concurrent realtime connections grow.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16096,"probe_id":5963,"sample":1,"system":"realtime_chat","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"managed realtime paas\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"builds responsive chat SPA\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"Cloud Firestore\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": \"managed\",\n    \"reason\": \"handles channels messages presence\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"Cloud Storage\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores shared files cheaply\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"Cloud Firestore\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": \"managed\",\n    \"reason\": \"powers live updates websockets\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Firebase Authentication\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": \"managed\",\n    \"reason\": \"simple user identity management\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"Firebase Hosting\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": \"managed\",\n    \"reason\": \"serves static frontend at low cost\"\n  }],\n  \"main_risk\": \"vendor lock-in and scaling costs beyond free tier limits\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16092,"probe_id":5964,"sample":1,"system":"realtime_chat","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed microservices with event-driven realtime messaging\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI for channels, presence, search; proven at scale\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend; supports 100k concurrent on mobile\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight goroutines handle 100k concurrent connections efficiently\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Multiplexed HTTP/2 streams reduce latency for realtime messaging\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for queries, WebSocket upgrade for realtime subscriptions\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for message ordering; managed service scales to 10M MAU\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible schema for user metadata and presence state; write-optimized\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond presence and recent message cache for 100k concurrent\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event log for messages; enables replaying and fan-out searches\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across 10M MAU message history; scales horizontally\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable file storage; directly accessible via CDN\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser protocol; server-push presence and message delivery\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless; scales horizontally without session replication overhead\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrate stateless backend replicas across regions for resilience\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed control plane; auto-scaling for 100k concurrent traffic bursts\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics-driven alerting on latency; traces gRPC call chains\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Deploy immutable container images to EKS on every commit\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ingest Kafka events for user engagement and feature usage analysis\"\n    }\n  ],\n  \"main_risk\": \"WebSocket connection churn under 100k concurrent peak; mitigate with connection pooling and graceful reconnect backoff.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary—switch to sharded cluster or Google Cloud Spanner at >50M MAU\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16147,"probe_id":5964,"sample":1,"system":"realtime_chat","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Responsive web client for real-time chat and file sharing.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app from a single codebase.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency with goroutines, simple and fast.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for Go, minimal overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Amazon API Gateway\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed REST/WebSocket gateway, handles auth and throttling.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable ACID store for channel metadata and message history.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pub/sub for real-time broadcasting and presence data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Amazon MQ for RabbitMQ\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous processing for file uploads and push notifications.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text message search with low latency.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, durable file sharing and attachment storage.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket over Go with Redis Pub/Sub\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles persistent connections, presence, and channel fan-out.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SaaS identity provider, reduces in-house auth complexity.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global cloud infrastructure with region selection.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for microservices and auto-scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Amazon Managed Service for Prometheus + Amazon Managed Grafana\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, dashboards, and alerting for all components.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deploy pipelines.\"\n    }\n  ],\n  \"main_risk\": \"Redis Pub/Sub fan-out bottlenecks may cause realtime latency in large channels under 100k concurrent users.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}","model_label":"DeepSeek"},{"response_id":16087,"probe_id":5964,"sample":1,"system":"realtime_chat","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage for real-time messaging.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for user data and relational structures.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency presence tracking and session management.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"AWS AppSync\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simplifies state synchronization and scales effortlessly for 100k concurrent users.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature full-text search engine handling high-volume message indexing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable storage for file sharing and media attachments.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration for scaling microservices dynamically.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and compliance requirements.\"\n    }\n  ],\n  \"main_risk\": \"Database write contention during sudden spikes in message volume across active channels.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16093,"probe_id":5964,"sample":1,"system":"realtime_chat","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant SPA framework with rich ecosystem\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform with native feel and React sync\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low GC overhead for high concurrency at scale\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"fasthttp\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Extremely high throughput for chat workloads\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Envoy\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Battle-tested edge proxy with gRPC support\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong consistency and JSONB for flexible schemas\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory speed for presence and rate limiting\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pub/sub for real-time events and high throughput\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight blazing-fast message broker\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search at chat scale with cluster ops offloaded\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable object storage with lifecycle policies\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Pusher Channels\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Battle-tested global WebSocket cloud for chat\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade identity with minimal dev effort\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Consistent scalable compute across regions\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for container scheduling at scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive metrics, logs, and traces integration\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native tight coupling with Git for rapid iteration\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SQL data warehouse to crunch user behavior\"\n    }\n  ],\n  \"main_risk\": \"third-party realtime service adds global latency variability\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16122,"probe_id":5964,"sample":1,"system":"realtime_chat","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native microservices with managed core services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Component-based web UI with wide ecosystem and performance.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native performance and high code reuse.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency and predictable latency at scale.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin Gonic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": \"Envoy\",\n      \"provider\": \"CNCF (Envoy)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency RPC with edge gateway and protocol translation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"NoSQL wide-column store\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Single-digit ms, virtually unlimited writes and automatic scaling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational consistency for users, channels, and permissions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency lookups, presence caching, and session data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, high-throughput event streaming and consumer scaling.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and aggregations across messages and files.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, cost-effective storage with signed URL support.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway (WebSocket)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed persistent connections and integration with backend.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable user auth, federation, and token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon EC2 / VPC\",\n      \"service\": \"AWS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Primary cloud compute and networking environment.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with autoscaling and portability.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Traces, metrics, logs unified with OTLP ingestion support.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD workflows and pipeline automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Cloud data warehouse\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable event analytics and ad-hoc querying for product metrics.\"\n    }\n  ],\n  \"main_risk\": \"Real-time fan-out and cross-region latency will create operational complexity and cost at 100k+ concurrent connections.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16105,"probe_id":5964,"sample":1,"system":"realtime_chat","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": \"Meta\",\n    \"delivery\": \"client\",\n    \"reason\": \"Standard high-performance web UI\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"React Native\",\n    \"service\": null,\n    \"provider\": \"Meta\",\n    \"delivery\": \"client\",\n    \"reason\": \"Shared codebase with web frontend\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Elixir\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Native massive concurrency for 100k users\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Phoenix\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Built-in channels and PubSub\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Amazon RDS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID for users, channels, metadata\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"Amazon ElastiCache\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Low-latency presence and sessions\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"Elasticsearch\",\n    \"service\": \"Amazon OpenSearch\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Full-text message and file search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3\",\n    \"service\": \"Amazon S3\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Scalable durable file storage\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Direct low-latency channels and presence\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"JWT\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Stateless scalable authentication\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Manage Elixir node scaling\"\n  }],\n  \"main_risk\": \"Realtime connection fan-out and state consistency at 100k concurrent users.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16106,"probe_id":5965,"sample":1,"system":"realtime_chat","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices with real-time WebSocket backbone\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Efficient real-time UI updates; large ecosystem for chat features\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with frontend; native performance for presence updates\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Goroutines handle thousands of WebSocket connections efficiently\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework; excellent WebSocket support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for CRUD; WebSocket for real-time chat and presence\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted managed PostgreSQL; ACID compliance for messages and channels\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU provider; session storage and presence tracking\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Same as secondary_database for cost efficiency\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted; reliable async processing for file notifications\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search on messages; EU region available\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU GDPR-compliant; supports file sharing at scale\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native; no external dependency; bidirectional messaging\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed in EU; tokens reduce auth service load\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted Kubernetes; scales WebSocket connections horizontally\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Same as hosting\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"self_hosted on Scaleway\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source; EU control; monitor WebSocket connections and latency\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option; native Kubernetes integration\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-friendly; self-hosted option for GDPR compliance\"\n    }\n  ],\n  \"main_risk\": \"WebSocket connection scaling becomes bottleneck if single region experiences >50k concurrent users; requires multi-region failover strategy.\",\n  \"first_component_to_replace_at_scale\": \"WebSocket single instance → load-balanced WebSocket pool with Redis pub/sub for cross-instance message delivery\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16179,"probe_id":5965,"sample":1,"system":"realtime_chat","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Modular monolith with event-driven real-time\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single page app for browser-based chat client.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app sharing code with web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event-driven, non-blocking I/O suits real-time chat.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured TypeScript framework with built-in WebSocket support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST/WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API served by NestJS over HTTP and WebSocket.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational store for user and message data, EU hosted.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session and real-time state caching; pub/sub for internal events.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Job queue for file processing, notifications, and background tasks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search for messages and files; EU region available.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted object storage for file uploads, S3 API.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets/PubSub\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed real-time messaging, presence, and channel delivery, EU data centers.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"CNCF / self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source IAM, full data control within EU infrastructure.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes / Instances\",\n      \"service\": \"Scaleway Kapsule / Instances\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU cloud provider with Kubernetes and compute, personal data remains in EU.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes controlling backend services within EU.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Loki, Tempo\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed monitoring with EU data residency, European company.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com (EU region)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD with EU-hosted runners, integrated with repository.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Privacy-focused analytics\",\n      \"service\": \"Plausible Analytics\",\n      \"provider\": \"Plausible\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cookie-less, privacy-friendly analytics, hosted in EU.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on third-party SaaS (Ably) for real-time; an outage or data locality violation could disrupt core chat functionality.\",\n  \"first_component_to_replace_at_scale\": \"Ably\"\n}","model_label":"DeepSeek"},{"response_id":16109,"probe_id":5965,"sample":1,"system":"realtime_chat","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and performance for real-time messaging systems.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient low-latency binary communication for real-time chat.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for messaging and reliable secondary indices.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for full-text search across large message archives.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bi-directional communication required for low-latency message delivery.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based provider ensures full compliance with GDPR data residency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible scaling and deployment automation for microservice architectures.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Allows full control over identity data within EU borders.\"\n    }\n  ],\n  \"main_risk\": \"Scaling WebSocket state management horizontally while maintaining consistent delivery and presence data.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16115,"probe_id":5965,"sample":1,"system":"realtime_chat","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"real-time chat service\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"React (TypeScript)\",\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem and strong tooling for SPAs.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"React Native (TypeScript)\",\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase with web, strong EU community support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Golang Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low latency at scale.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Fiber\",\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast HTTP toolkit built on Go fasthttp.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"GraphQL (via graphql-go)\",\n      \"provider\": \"GraphQL Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reduces over-fetching and simplifies real-time updates.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for chat messages and user data.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond reads for presence and real-time state.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Same as secondary database, shared service.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": \"nats-server\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-throughput messaging for background jobs.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch SAS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Typo-tolerant search with low latency and EU hosting.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Temporary file storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"s3_compatible\",\n      \"reason\": \"Scaleway ensures data residency in France.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Centrifugo\",\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable pub/sub layer with Go backend.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk, Inc.\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Hosted auth with European data centers and easy tiered pricing.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner Online GmbH\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective EU VPS with strong privacy stance.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Keeps workloads on Hetzner hardware under EU control.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"sass\",\n      \"reason\": \"EU data residency and end-to-end tracing.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub (Microsoft)\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Fast runners, strong integration with pull requests.\"\n    }\n  ],\n  \"main_risk\": \"WebSocket connection storms could overload Centrifugo at peak without autoscaling.\",\n  \"first_component_to_replace_at_scale\": \"Centrifugo\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16128,"probe_id":5965,"sample":1,"system":"realtime_chat","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"elixir_phoenix_k8s_realtime\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Scaleway CDN (EU)\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast static delivery with EU data residency.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single cross-platform codebase for faster parity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Elixir\",\n      \"service\": null,\n      \"provider\": \"Erlang/OTP community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrency and fault-tolerance for real-time messaging.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Phoenix\",\n      \"service\": null,\n      \"provider\": \"Phoenix (Elixir community)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in Channels and Presence for scalable WebSocket handling.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"JSON REST + WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for resources and WebSocket for real-time events.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational store with strong consistency and EU hosting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency presence and ephemeral state caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven Kafka (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event pipeline for fan-out and analytics ingestion.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud (EU)\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and relevance scoring with EU cloud.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage (EU)\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-resident object storage for files and attachments.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Phoenix Channels / WebSocket\",\n      \"service\": null,\n      \"provider\": \"Elixir/Phoenix\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native channel abstraction and Presence for real-time.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2 (Keycloak)\",\n      \"service\": \"Keycloak (self-hosted on k8s)\",\n      \"provider\": \"Keycloak/Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Featureful identity with role management and EU self-hosting.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes on VMs\",\n      \"service\": \"OVHcloud Managed Kubernetes (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based managed Kubernetes for workload orchestration.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration co-located with hosting.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana/Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF/Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source metrics, logs, dashboards self-hosted in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab (self-hosted)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CI/CD with runner control and EU hosting for pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog (self-hosted)\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics self-hosted to retain EU user data.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of managing multiple self-hosted and managed EU services may cause outages or compliance gaps.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16123,"probe_id":5965,"sample":1,"system":"realtime_chat","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime event-driven\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard web ui library\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"react-native\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"shared web-mobile codebase\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high concurrency for realtime\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"eu-hosted reliable relational store\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast in-memory presence data\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"nats\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight eu realtime messaging\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full text channel and message search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3-compatible\",\n    \"service\": \"object storage\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu provider for file sharing\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websocket\",\n    \"service\": \"centrifugo\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted channels and presence\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"keycloak\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"eu self-hosted identity provider\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"kubernetes\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu managed kubernetes clusters\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting standard\"\n  }],\n  \"main_risk\": \"Scaling websocket connections while maintaining eu data residency.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16130,"probe_id":5966,"sample":1,"system":"realtime_chat","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"self-hosted real-time chat platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive UI framework with strong ecosystem for chat applications\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Code sharing with web frontend; native performance for messaging apps\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for WebSocket connections and real-time messaging\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"Echo Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance HTTP framework with WebSocket support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for CRUD operations; WebSocket for real-time presence and messages\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for messages, channels, users; full-text search support\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Presence state, session management, and real-time synchronization\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated with secondary_database for query caching and rate limiting\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message queue for file processing, notifications, and async tasks\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search across messages with filtering by channel and user\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage for file uploads, open-source alternative\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser support; bidirectional messaging for chat and presence\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source identity provider with multi-protocol support and SSO capability\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted VMs or bare metal for full control over deployment\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling chat backend and managing stateful services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"Prometheus Community and Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source monitoring stack for metrics, alerting, and visualization\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD with Git repository, fully self-hostable\"\n    }\n  ],\n  \"main_risk\": \"WebSocket connection scalability across multiple backend instances requires careful load-balancing and session affinity; connection loss during deployments impacts user experience.\",\n  \"first_component_to_replace_at_scale\": \"Redis for presence state, which needs distributed consensus at thousands of concurrent users\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16199,"probe_id":5966,"sample":1,"system":"realtime_chat","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for web chat client\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile apps\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe language for backend services\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"nestjs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular backend with built-in WebSocket support\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"Socket.IO Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket server for messaging and presence\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC identity provider for SSO and token management\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for users, channels, messages\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session cache, presence data, and pub/sub\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"BullMQ\",\n      \"provider\": \"Taskforce.sh\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Job queue for async tasks (file processing)\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for messages\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for shared files\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling and HA\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"VM/bare-metal servers running Kubernetes\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and alerting\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Loki\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Log aggregation and querying\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted CI/CD pipelines\"\n    }\n  ],\n  \"main_risk\": \"Scaling real-time WebSocket connections and Elasticsearch indexing under high message volume.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16134,"probe_id":5966,"sample":1,"system":"realtime_chat","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support for real-time traffic and efficient network I/O.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimalist, high-performance web framework for low-latency API handling.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational integrity with strong support for JSONB and complex queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis OSS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond latency for presence tracking and session management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Highly durable event streaming for message delivery and asynchronous processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search capabilities for large-scale channel message history.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for file sharing that is easily self-hosted.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol for bidirectional communication between clients and backend.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for managing containerized workloads and ensuring high availability.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"JBoss/Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust open-source IAM solution supporting OIDC and OAuth2.\"\n    }\n  ],\n  \"main_risk\": \"Operating a massive distributed state across Kafka and Elasticsearch adds significant infrastructure maintenance complexity.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16142,"probe_id":5966,"sample":1,"system":"realtime_chat","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"modular monolith with real-time service split\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature, widely adopted, excellent tooling support\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform, large ecosystem, hot-reload for devs\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong concurrency, fast compilation, minimal runtime\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"Fiber\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance HTTP framework for Go\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST and WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for stateless ops; WS for real-time presence\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Supports JSONB, full-text search, and ACID transactions\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory store for sessions, presence, and caching\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Already required for sessions, reused for high-speed caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"The NATS Authors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ultra-lightweight, high-throughput message broker\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"Amazon.com\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lucene-based, actively open-source, full-text search ideal\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible API, lightweight, Kubernetes-native\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol, natively supported by browsers\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Ory Hydra\",\n      \"service\": null,\n      \"provider\": \"Ory\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source OAuth2/OIDC server with JWT support\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single cloud-agnostic deployment across VMs or bare metal\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"k3s\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, production-ready, CNCF reference impl\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified telemetry, vendor-neutral, integrates well with k8s\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Tekton\",\n      \"service\": null,\n      \"provider\": \"CD Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native pipelines with minimal dependencies\"\n    }\n  ],\n  \"main_risk\": \"Maintaining self-hosted OpenSearch clusters can be ops-heavy.\"\n  \"first_component_to_replace_at_scale\": \"OpenSearch\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16148,"probe_id":5966,"sample":1,"system":"realtime_chat","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"real-time microservices with pub/sub\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature component UI library for complex web clients.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native mobile using shared React codebase.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Elixir\",\n      \"service\": null,\n      \"provider\": \"Elixir Lang\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built for massive concurrency and low-latency real-time workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Phoenix\",\n      \"service\": null,\n      \"provider\": \"Phoenix Framework\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"First-class channels, presence, and fault-tolerant concurrency model.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL (Absinthe)\",\n      \"service\": null,\n      \"provider\": \"Absinthe\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible client-driven data fetching reduces over/under-fetching.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID relational store with JSONB for flexible message metadata.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput analytical queries for historical analytics and exports.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis (OSS)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency key-value and pub/sub for presence and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust message routing and reliable background job processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hostable full-text search and aggregations for message search.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, scalable object store for file attachments.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Phoenix Channels (WebSocket)\",\n      \"service\": null,\n      \"provider\": \"Phoenix Framework\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in websocket pub/sub and presence semantics for real-time sync.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source OIDC/OAuth2, SSO, RBAC and LDAP integration.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard container orchestration for scaling and rolling updates.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"OpenStack\",\n      \"service\": null,\n      \"provider\": \"OpenStack Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted IaaS for VMs, networking, and persistent volumes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics scraping, alerting and time-series storage for system health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated git hosting and CI/CD pipelines, self-hostable edition.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics and session insights, designed for self-hosting.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity from running many stateful, distributed self-hosted systems for global low-latency chat.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16149,"probe_id":5966,"sample":1,"system":"realtime_chat","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA real-time team chat product with channels, presence, search, and file sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"single page app for channels and files\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"elixir\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high concurrency for presence and realtime\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"phoenix\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in channels and presence\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable relational store for messages\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ephemeral presence and session data\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full text search over messages\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"minio\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted s3 for file sharing\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"phoenix channels\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"websocket broadcast for live updates\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted openid and user management\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container orchestration for all services\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting for production\"\n  }],\n  \"main_risk\": \"Scaling websocket connections beyond single node requires careful sharding.\",\n  \"first_component_to_replace_at_scale\": \"phoenix channels\"\n}","model_label":"Grok"},{"response_id":16154,"probe_id":5967,"sample":1,"system":"collaborative_editor","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Real-time collaborative editing with eventual consistency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI, strong ecosystem for real-time sync libraries\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Operational Transformation (OT)\",\n      \"service\": \"Yjs\",\n      \"provider\": \"Yjs Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Battle-tested CRDT alternative, efficient conflict resolution for simultaneous edits\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety, code sharing with frontend, strong Node.js ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js with Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Non-blocking I/O, WebSocket support, lightweight for concurrent connections\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"WebSocket + REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket for real-time sync, REST for state queries and document management\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for version history, reliable transaction handling, JSON support\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"In-memory sync state, fast session management, pub/sub for server-to-server updates\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure user identity, minimal ops overhead, integrates with WebSocket sessions\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Containerization\",\n      \"service\": \"ECS Fargate\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scales concurrent WebSocket connections, no server management, cost-efficient\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Auto-scaling groups\",\n      \"service\": \"AWS Auto Scaling\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles traffic spikes from collaborative sessions, maintains resilience\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores document snapshots, backups, audit logs; integrates with lifecycle policies\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Distributed tracing + structured logging\",\n      \"service\": \"DataDog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tracks real-time sync latency, identifies bottlenecks in collaborative interactions\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with repository, automated testing and deployment pipelines\"\n    }\n  ],\n  \"main_risk\": \"Real-time conflict resolution under extreme concurrent edit load may cause inconsistent document state across clients if OT implementation has edge case bugs.\",\n  \"first_component_to_replace_at_scale\": \"Redis secondary database—replace with horizontally scalable pub/sub (e.g., Apache Kafka) above 10k simultaneous editors\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16226,"probe_id":5967,"sample":1,"system":"collaborative_editor","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI with real-time updates.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile editing experience.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event loop suits real-time WebSocket connections.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight REST API framework.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Document management, version queries, and auth endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores document metadata, user accounts, and version references.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching and pub/sub for operational transform propagation.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async processing of version snapshots and indexing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search across user documents.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object Storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Stores document revisions and binary assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Socket.IO\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency bidirectional channel for simultaneous editing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed authentication with social login and JWT.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud Computing\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable compute, networking, and storage.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates containerized services with auto-scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards for system health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product Analytics\",\n      \"service\": \"Mixpanel\",\n      \"provider\": \"Mixpanel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tracks user engagement and editing behavior.\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution and real-time latency at high scale while preserving version history integrity.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}","model_label":"DeepSeek"},{"response_id":16160,"probe_id":5967,"sample":1,"system":"collaborative_editor","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-sourced CRDT\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"React\",\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich ecosystem for complex document state management.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Excellent non-blocking I/O support for high-concurrency websocket connections.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Minimal overhead framework efficient for high-throughput realtime messaging.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for document metadata and user state.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Proven conflict-free replicated data type implementation for collaborative editing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective storage for document version snapshots and media assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces operational burden for secure user identity and session management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"AWS EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable orchestration for containerized microservices handling high traffic.\"\n    }\n  ],\n  \"main_risk\": \"High memory consumption on the server when maintaining long-lived WebSocket sessions with large document synchronization state.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16165,"probe_id":5967,"sample":1,"system":"collaborative_editor","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Realtime collaborative editor\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"JavaScript\",\n      \"service\": null,\n      \"provider\": \"ECMAScript\",\n      \"delivery\": \"client\",\n      \"reason\": \"Standard browser runtime for cross-device access\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety and Node.js ecosystem compatibility\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead for WebSocket-based realtime ops\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Combines REST for CRUD and WS for live edits\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for conflict-free versioning\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency diff synchronization primitives\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional channels for presence/ops stream\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Firebase Auth\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified identity across client apps and APIs\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Blob\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable binaries for document assets\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container\",\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Autoscaling WebSocket endpoints without nodes\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Cloud Tasks\",\n      \"service\": null,\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Asynchronous conflict resolution workflows\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Metrics/Trace/Log\",\n      \"service\": \"Cloud Monitoring + Cloud Logging\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Single pane for latency, errors and usage\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with repo for testing/deploy\"\n    }\n  ],\n  \"main_risk\": \"Data consistency conflicts during rapid realtime edits\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16169,"probe_id":5967,"sample":1,"system":"collaborative_editor","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices + CRDT realtime\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React (TypeScript)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive in-browser editor and extensible UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native (TypeScript)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase mobile clients sharing editor code\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js (TypeScript)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem for realtime and web APIs\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured modular server with TypeScript support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST + OpenAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable HTTP APIs and SDK generation\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora (PostgreSQL)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID consistency, JSONB for document storage and relations\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-volume analytics and version-history queries\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache (Redis)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency presence and ephemeral collaboration state\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable edit event log and async processing\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across document bodies and history\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Store snapshots, attachments, and backups reliably\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs (CRDT) + y-websocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT-based real-time sync minimizing merge conflicts\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed identity, SSO, and secure token handling\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global regions and deep managed service ecosystem\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, autoscaling, and reliability\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified traces, metrics, and logs for production monitoring\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with repo and deployment workflows\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"event analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product usage analytics and behavioral funnels\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted realtime websocket servers (CRDT sync) will be the primary scalability and operational complexity bottleneck.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16177,"probe_id":5967,"sample":1,"system":"collaborative_editor","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"rich interactive editor UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"TypeScript\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"strong typing for complex sync logic\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Express\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"minimal runtime for API and sockets\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID storage for docs and history\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"Socket.IO\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable bidirectional document sync\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"Auth0\",\n    \"provider\": \"Auth0\",\n    \"delivery\": \"saas\",\n    \"reason\": \"managed user identity and sessions\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"AWS ECS\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"container hosting with autoscaling\"\n  }],\n  \"main_risk\": \"concurrent edit conflicts under high load without CRDTs\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16188,"probe_id":5968,"sample":1,"system":"collaborative_editor","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic backend with real-time sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Lightweight, suitable for collaborative editing with minimal overhead.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast iteration for two engineers, rich ecosystem for real-time features.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal boilerplate, built-in WebSocket support, excellent for small teams.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket for real-time collaboration, REST for version history queries.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions for version history, JSON support for document structure.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser support, integrated with FastAPI, no additional infrastructure.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, minimal overhead, sufficient for small team startup phase.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pay-per-use fits budget, minimal management, handles document attachments.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VPS\",\n      \"service\": \"Ubuntu on single instance\",\n      \"provider\": \"Linode or DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"$5–10/month, sufficient for two engineers' users, easy to scale vertically.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier includes sufficient minutes, integrated with repo, zero overhead.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Write logs to files, parse locally; minimal cost, adequate for debugging.\"\n    }\n  ],\n  \"main_risk\": \"Single VPS fails without redundancy; real-time sync conflicts under concurrent heavy editing require robust operational transformation or CRDT implementation.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16271,"probe_id":5968,"sample":1,"system":"collaborative_editor","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"CRDT sync with serverless DB\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SSR, static generation, free hosting for collaboration UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared language full-stack, reduces context-switching.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js\",\n      \"service\": \"ws\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal WebSocket server for Yjs sync, low overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"PostgREST\",\n      \"service\": \"Supabase REST API\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Auto-generated CRUD for document metadata.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase DB\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Stores docs, version history, user data; free tier.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Custom Yjs sync server for simultaneous editing via CRDT.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"GoTrue\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed auth with RLS, free generous limits.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"File attachments, 1 GB free tier.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container orchestration\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost VM for WebSocket server, free allowance.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automates test and deploy, free for public repos.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error tracking\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier capturs exceptions for small team.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free 1M events/mo, feature flags for collaboration.\"\n    }\n  ],\n  \"main_risk\": \"Scaling the custom WebSocket sync server and PostgreSQL for high document churn may require architectural changes.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16193,"probe_id":5968,"sample":1,"system":"collaborative_editor","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-sourced CRDT engine\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Large ecosystem of ProseMirror integration libraries for collaborative editing.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Allows sharing document schema types between client and server.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Relational data for users and simple document metadata storage.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Hocuspocus\",\n      \"provider\": \"tiptap\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Specifically designed for Yjs-based collaborative editing synchronization.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees significantly reduces operational costs for document version history.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global distribution and low cost for hobbyist/small team scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies complex auth flows like invite-to-edit for small teams.\"\n    }\n  ],\n  \"main_risk\": \"High complexity of resolving operational conflicts in Yjs CRDTs as document history grows.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16196,"probe_id":5968,"sample":1,"system":"collaborative_editor","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"real-time collaborative editor\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"JavaScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Browser-based editing requires low-latency DOM updates\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"JavaScript\",\n      \"service\": null,\n      \"provider\": \"Node.js Foundation\",\n      \"delivery\": null,\n      \"reason\": \"Full-stack JavaScript reduces context switching\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": null,\n      \"reason\": \"Minimal opinionated overhead for WebSocket handling\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"GraphQL via Yoga\",\n      \"provider\": \"The Guild\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Efficient real-time sync with flexible queries\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Branching features + serverless scaling under $200\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-cost ephemeral storage for session data\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable Pub/Sub under 1M concurrent connections\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Prebuilt auth with free tier for small teams\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero-config deploys + free PostgreSQL tier\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free runners for public repos with generous limits\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error tracking with free tier for error volume\"\n    }\n  ],\n  \"main_risk\": \"Neon’s free tier may throttle beyond tiny doc volumes\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16205,"probe_id":5968,"sample":1,"system":"collaborative_editor","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-droplet CRDT realtime\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast developer iteration and free CDN hosting for static app below budget.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for realtime libraries and low operational overhead for two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": \"Fastify\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, fast HTTP/WebSocket support with minimal configuration and CPU usage.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST + WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple REST for persistence plus WebSocket for realtime syncing and low complexity.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"DigitalOcean Managed PostgreSQL\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational store for version history and append-only operation logs.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"DigitalOcean Spaces\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cheap blob storage for document snapshots and exports, S3 API compatibility.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"CRDT (Yjs)\",\n      \"service\": \"y-websocket (self-hosted)\",\n      \"provider\": \"Yjs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT provides robust concurrent edits and easy server-side websocket relay.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / Firebase Auth\",\n      \"service\": \"Firebase Authentication\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed auth with generous free tier and minimal engineering integration cost.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VM\",\n      \"service\": \"DigitalOcean Droplet (Shared CPU)\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single small VM minimizes monthly cost and simplifies operations for two engineers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error tracking / logging\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error monitoring accelerates debugging with minimal setup and cost.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI with free minutes for small team and simple deploy automation.\"\n    }\n  ],\n  \"main_risk\": \"Single-droplet WebSocket relay may become a scaling and availability bottleneck as user demand grows.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16215,"probe_id":5968,"sample":1,"system":"collaborative_editor","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolithic realtime app\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard library for rich editor UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"javascript\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"unified language for server and CRDT logic\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"express\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight HTTP and websocket server\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID storage for versions and documents\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websocket\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"direct broadcast for simultaneous edits\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple stateless session tokens\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"heroku\",\n    \"provider\": \"heroku\",\n    \"delivery\": \"managed\",\n    \"reason\": \"low-cost managed dynos under budget\"\n  }],\n  \"main_risk\": \"Correct CRDT conflict handling is error-prone with small team.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16219,"probe_id":5969,"sample":1,"system":"collaborative_editor","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed real-time collaborative editing with event sourcing\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UI framework with strong ecosystem for real-time collaboration libraries\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend, native performance for 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Goroutines handle 100k concurrent connections efficiently with minimal memory overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional streaming for real-time edit propagation at scale\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC with JSON transcoding\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"gRPC for performance, JSON fallback for browser compatibility\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL with logical replication\",\n      \"service\": \"CloudSQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for document state, native replication for multi-region failover\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"EventStoreDB\",\n      \"service\": null,\n      \"provider\": \"EventStoreDB Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Immutable event log preserves complete version history for collaborative editing\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Cloud Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond session and document state caching for 100k concurrent users\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable edit event stream with replay capability for version recovery\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with operational transformation\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Custom OT implementation handles concurrent edits with causal ordering\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Google Identity\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Delegated auth scales to 10M MAU without identity infrastructure burden\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling stateless backend to handle traffic spikes across 10M MAU\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with load balancing for gRPC streaming connections\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry with Prometheus and Jaeger\",\n      \"service\": \"Google Cloud Operations\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Distributed tracing essential for debugging real-time synchronization issues\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Streamlined multi-environment deployment to GKE with minimal configuration\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Analyze document edit patterns and user behavior across 10M MAU\"\n    }\n  ],\n  \"main_risk\": \"Operational transformation complexity under partition tolerance could cause edit conflicts during network splits; EventStoreDB replay mitigates but requires careful CRDT evaluation.\",\n  \"first_component_to_replace_at_scale\": \"Custom OT implementation should migrate to CRDT library (Yjs or Automerge) before 50M MAU\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16290,"probe_id":5969,"sample":1,"system":"collaborative_editor","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Microservices + CRDT real-time\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive document UI with collaborative cursors.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile editing with shared collaborative state.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified real-time and REST backend with event-driven non-blocking I/O.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, scalable backend structure with integrated WebSocket support.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable document metadata and user data with strong consistency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across document content and version history.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, presence, and pub/sub for real-time sync coordination.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message Queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous processing of version snapshots and notifications.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object Storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage of document content blobs and version snapshots.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs and WebSocket\",\n      \"service\": \"Custom Node.js WebSocket server\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT-based conflict-free simultaneous editing with low latency.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"OAuth2.0 with social login, secure token management for 10M users.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cloud infrastructure with global availability and auto-scaling.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for scaling backend and real-time servers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Monitoring\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring, logging, and APM for distributed system.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment pipeline.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product Analytics\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics and feature flags for 10M users.\"\n    }\n  ],\n  \"main_risk\": \"Maintaining CRDT consistency and low latency across 100k concurrent editors with document-level sharding.\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"DeepSeek"},{"response_id":16225,"probe_id":5969,"sample":1,"system":"collaborative_editor","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-sourced CRDT microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for complex, state-heavy interactive web interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Rust\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides memory safety and high concurrency performance required for low-latency synchronization.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary serialization protocol optimal for high-throughput service communication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency required for user metadata and document state pointers.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"AppSync\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles persistent connections for multi-user document synchronization at scale.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard scalability for storing immutable versioned document snapshots and binary blobs.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security compliance to a specialized provider.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration for managing distributed backend microservices.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides microsecond latency for session state and active document fragments.\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution latency and data consistency degradation during high concurrency periods.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16227,"probe_id":5969,"sample":1,"system":"collaborative_editor","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"collaborative web app with serverless real-time sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SSR/SSG flexibility with low-latency CDN edge runtime.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Dart\",\n      \"service\": \"Flutter\",\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform single codebase for iOS/Android with strong reactivity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrency and sub-ms scheduling under high concurrent edits.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless endpoints scale horizontally behind global load balancer.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably Real-time Limited\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Globally distributed edge network with fan-out for 100k+ connections.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for collaborative edits; read-replicas for history.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency shared state across HA proxy nodes handling 100k+ users.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for binary deltas and assets at petabyte scale.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast version-history lookup with relevance-ranked results.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Social & enterprise SSO with tunable session management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-AZ Kubernetes clusters for pods running the Go backend.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized deploy units across clusters with HPA to 100k+ pods.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Prometheus\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-cardinality metrics at scale with reliability and cost control.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed pipelines with reproducible container builds.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Sub-second slice analytics on 10M MAU usage data.\"\n    }\n  ],\n  \"main_risk\": \"Provider lock-in with global single-vendor hosted components.\",\n  \"first_component_to_replace_at_scale\": \"Ably\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16240,"probe_id":5969,"sample":1,"system":"collaborative_editor","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices+kubernetes+CRDT-realtime\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Component-based UI with wide ecosystem and performance for collaborative editors.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code reuse with web frontend and mature platform support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, and efficient resource usage at scale.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gqlgen (Go GraphQL server)\",\n      \"service\": null,\n      \"provider\": \"Open Source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe GraphQL server generation integrated with Go codebase.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL (with subscriptions)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single schema for read/write surface and realtime subscriptions.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora (PostgreSQL-compatible)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional consistency, JSONB for document storage, and managed scaling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redshift\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Analytical queries and heavy-timeseries/version-history analytics at scale.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency presence, session, and ephemeral CRDT shard caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable background job delivery and cross-service decoupling.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search over documents and historical versions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for attachments, exports, and immutable version snapshots.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs CRDT + WebSocket (y-websocket)\",\n      \"service\": \"Self-hosted y-websocket cluster\",\n      \"provider\": \"Yjs (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT-based conflict-free realtime sync with server-side websocket coordination.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed identity, social login, and standards compliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"EC2 + ALB\",\n      \"service\": \"Amazon EC2 + Application Load Balancer\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible compute and mature load balancing for microservices.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, scaling, and isolation for services including realtime.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry + Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified tracing, metrics, and logs with SaaS operational insights.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with workflows, secrets, and scalable runners.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"product/event analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product-centric user analytics and funnel analysis for large user bases.\"\n    }\n  ],\n  \"main_risk\": \"Scaling real-time CRDT synchronization and WebSocket fanout introduces latency and operational complexity under heavy concurrency.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16243,"probe_id":5969,"sample":1,"system":"collaborative_editor","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime websocket server\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": \"facebook\",\n    \"delivery\": \"client\",\n    \"reason\": \"mature interactive UI library\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high-concurrency websocket handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable document and version storage\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websocket\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"direct low-latency editing sync\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stateless scalable sessions\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"orchestrates 100k concurrent connections\"\n  }],\n  \"main_risk\": \"websocket connection limits under 100k concurrent load\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16250,"probe_id":5970,"sample":1,"system":"collaborative_editor","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Event-sourced collaborative editor with operational transformation\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Efficient DOM updates for real-time collaborative editing\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend, native performance for mobile editing\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrent handling of WebSocket connections for simultaneous edits\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP and WebSocket support with low latency\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for document operations, WebSocket for real-time collaboration events\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"managed PostgreSQL\",\n      \"provider\": \"Scaleway or OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for version history, EU-based managed services, strong consistency\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Event store\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Immutable log of all edits for audit trail and conflict resolution\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"managed Redis\",\n      \"provider\": \"Scaleway or OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session state and active document snapshots, EU location compliance\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency message broadcasting for real-time edit propagation\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser support, maintains bidirectional connection for simultaneous edits\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"self_hosted or Keycloak Cloud\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, supports GDPR compliance, EU infrastructure control\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"S3 API\",\n      \"provider\": \"Scaleway or OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Document exports and backups in EU region with API compatibility\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway Kapsule or OVHcloud Managed Kubernetes\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates backend services in EU, scales with concurrent editors\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based, manages scaling and service coordination\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"ELK Stack\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, full control over monitoring data, EU data residency\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab SaaS\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant SaaS option with EU data centers available\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud EU\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted product analytics with built-in privacy compliance\"\n    }\n  ],\n  \"main_risk\": \"Operational transformation complexity in handling concurrent conflicting edits at scale may cause consistency issues; requires rigorous testing of merge algorithms.\",\n  \"first_component_to_replace_at_scale\": \"NATS queue to Apache Kafka for higher throughput and persistence at 10K+ simultaneous editors\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16306,"probe_id":5970,"sample":1,"system":"collaborative_editor","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Real-time collaborative monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta (open-source)\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich ecosystem for building collaborative text editors.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Elixir\",\n      \"service\": null,\n      \"provider\": \"Erlang Ecosystem Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fault-tolerant, concurrent runtime ideal for soft real-time.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Phoenix\",\n      \"service\": null,\n      \"provider\": \"Phoenix Framework (open-source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in WebSockets, channels, and presence for collaboration.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (HTTP/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRUD endpoints for documents and version history.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-managed, reliable SQL for document and version storage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-managed caching for hot document state and session data.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU object store for document snapshots and assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Phoenix Channels\",\n      \"provider\": \"Phoenix Framework (open-source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional sync for simultaneous editing sessions.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Zitadel\",\n      \"provider\": \"Zitadel\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"European identity provider, self-hosted for data sovereignty.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud\",\n      \"service\": \"Scaleway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU cloud infrastructure, GDPR compliant with high resilience.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes for scaling Elixir nodes and services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana, Loki, Prometheus\",\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted EU-aligned stack for logs, metrics, and traces.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European provider, integrated pipelines for testing and deployment.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible\",\n      \"service\": \"Plausible Analytics\",\n      \"provider\": \"Plausible\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based, privacy-first product analytics.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting a real-time collaboration stack (Phoenix/OTP + CRDT) and identity (Zitadel) demands significant operational expertise.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16252,"probe_id":5970,"sample":1,"system":"collaborative_editor","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven CRDT-based editor\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Mature ecosystem for complex UI states and efficient DOM manipulation.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Rust\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high performance and memory safety for concurrent document conflict resolution.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency guarantees and reliable ACID compliance for document metadata.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard CRDT library for seamless collaborative document synchronization.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European-based provider ensuring data sovereignty and compliance with GDPR.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Delegates complex security and identity management to a proven provider.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Offers robust scaling and deployment orchestration for microservices.\"\n    }\n  ],\n  \"main_risk\": \"High latency in conflict resolution if the CRDT state becomes too bloated for client devices.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16258,"probe_id":5970,"sample":1,"system":"collaborative_editor","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"real-time collaborative web app with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Widest client compatibility and strong typing for complex UIs.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native concurrency for real-time WebSocket fan-out and low GC pauses.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance HTTP/WebSocket router for Go.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Citus\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-only hosting with multi-tenant horizontal scaling via Citus.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scalable Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based Redis with active-active replication and durability.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Pusher Channels\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed WebSocket handling; EU region and SOC 2 compliant.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency options and comprehensive identity provider.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-only object storage with lifecycle policies and strong consistency.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"full-text search\",\n      \"service\": \"Typesense\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, typo-tolerant search engine deployable in EU VPC.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": \"Scaleway Instances\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-only virtual machines and managed Kubernetes for cost control.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native managed Kubernetes with EU-only data centers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"metrics & logs\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU region options; strong integration with Prometheus and Loki.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in managed runners and native integration with Git repositories.\"\n    }\n  ],\n  \"main_risk\": \"Realtime WebSocket scalability in managed service may hit limits under massive concurrent edits.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16269,"probe_id":5970,"sample":1,"system":"collaborative_editor","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"Kubernetes-hosted CRDT collaboration\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Modular, wide ecosystem for web editor and Yjs integration.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase with React for mobile collaborative editing.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript (Node.js)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event-driven, strong JS ecosystem for Yjs and WebSocket servers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured, modular server with WebSocket and API support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST + WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for metadata, WebSocket for real-time Yjs sync.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID version history and full-text search, EU-hosted managed service.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency presence and pub/sub for y-websocket horizontal sync.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"OVHcloud Object Storage\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU data residency for attachments and document exports.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"CRDT (Yjs) + WebSocket\",\n      \"service\": \"y-websocket server (self-hosted)\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Yjs provides efficient CRDT collaboration and local-first edits.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU deployable identity with fine-grained access control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud VMs / Kubernetes nodes\",\n      \"service\": \"Scaleway Instances\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based cloud capacity and network for low-latency EU hosting.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Production orchestration with EU managed Kubernetes service.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source observability stack deployable in EU for metrics, logs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab self-managed\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full CI/CD and pipelines hosted within EU-controlled infrastructure.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly product analytics hosted in EU.\"\n    }\n  ],\n  \"main_risk\": \"Real-time CRDT scaling and durable persistence can create operational complexity and latency under heavy concurrent editing.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16270,"probe_id":5970,"sample":1,"system":"collaborative_editor","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"realtime collaborative\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard SPA for editing UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Node.js\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"mature realtime event loop\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Express\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight HTTP layer\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID history storage in EU\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"OT/CRDT state in EU\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"Socket.IO\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simultaneous edit transport in EU\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Keycloak\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU-compliant identity provider\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"Kubernetes\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU data residency control\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": null,\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"infrastructure reuse\"\n  }],\n  \"main_risk\": \"Operational load of self-hosting realtime and auth in EU region\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}","model_label":"Grok"},{"response_id":16278,"probe_id":5971,"sample":1,"system":"collaborative_editor","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Real-time collaborative document server with operational transformation\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UI for simultaneous editing with immediate feedback\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": null,\n      \"provider\": \"Yjs contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT library handles conflict-free collaborative merging natively\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem for document processing and server logic\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async support for WebSocket connections and low-latency APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional real-time communication for live document updates\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for version history and document state persistence\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast session storage and active document state caching\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol; implement with Keycloak or similar open-source provider\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for stateless backend scaling and reliability\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection for real-time system health and bottleneck detection\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hostable pipeline for automated testing and deployment\"\n    }\n  ],\n  \"main_risk\": \"Network partition during collaborative edit can cause temporary consistency divergence before reconciliation; CRDT mitigates but requires careful state validation.\",\n  \"first_component_to_replace_at_scale\": \"Redis cache—replace with distributed in-memory store or tiered caching at document count > 100k\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16350,"probe_id":5971,"sample":1,"system":"collaborative_editor","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Real-time collaborative editing\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Component-based UI for interactive document editing.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event-driven runtime suits real-time applications.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for REST endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for document and version integrity.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency store for collaborative presence and state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"BullMQ\",\n      \"provider\": \"BullMQ contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous job processing for snapshots and exports.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text indexing for document search.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for attachments and assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": \"y-websocket\",\n      \"provider\": \"Yjs community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT-based sync for conflict-free concurrent edits.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect provider for secure user authentication.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scalable service deployment.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"SigNoz\",\n      \"provider\": \"SigNoz Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified metrics, traces, and logs monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated pipeline and version control.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted product analytics for user behavior.\"\n    }\n  ],\n  \"main_risk\": \"Scaling low-latency real-time synchronization for thousands of concurrent editors.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16283,"probe_id":5971,"sample":1,"system":"collaborative_editor","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"CRDT-based event-sourced system\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"react\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for complex stateful document interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"rust\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers performance and memory safety required for high-concurrency document synchronization.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"postgresql\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational storage for user identity and structured document metadata.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"yjs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard CRDT implementation for conflict-free simultaneous editing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"minio\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage providing scalable persistence for large document binary blobs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides robust container management and auto-scaling for multi-node collaborative sessions.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven open-source identity and access management solution.\"\n    }\n  ],\n  \"main_risk\": \"Managing memory consumption and state consistency for thousands of concurrent active document sessions.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16289,"probe_id":5971,"sample":1,"system":"collaborative_editor","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"real-time collaborative editor\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature UI framework with rich ecosystem for complex editors.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong typing and runtime for scalable backend services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance HTTP framework with low overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"APIs are co-located with backend services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store with strong consistency and JSON support.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory cache with pub/sub for real-time features.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"The RabbitMQ Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message broker for async operations.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"uWebSockets.js\",\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency bidirectional communication for edits.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source IAM with SSO and user management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"System runs on commodity Linux hosts.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple orchestration for self-hosted deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection with Grafana dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Drone CI\",\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, container-native continuous integration.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes under high concurrency due to lack of global distribution.\"\n  ,\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16301,"probe_id":5971,"sample":1,"system":"collaborative_editor","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"CRDT-collaboration\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Component-driven SPA with wide ecosystem and Yjs client integrations.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"JavaScript runtime with native Yjs and WebSocket ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured TypeScript server with built-in WebSocket and DI patterns.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Server\",\n      \"provider\": \"Apollo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient typed synchronization and selective data fetching for clients.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs (CRDT) + WebSocket replicator\",\n      \"service\": \"y-websocket (yjs) server\",\n      \"provider\": \"Yjs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Conflict-free simultaneous editing and offline-first synchronization.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"PostgreSQL\",\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID storage and JSONB for metadata and append-only CRDT update storage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis\",\n      \"provider\": \"Redis (OSS)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency presence, ephemeral session state, and pub/sub support.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"RabbitMQ\",\n      \"provider\": \"RabbitMQ (VMware community)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable background job queue and fan-out for notifications.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Store attachments and periodic CRDT snapshots with S3 API compatibility.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted full-text search and relevance tuning for document content.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC, SSO, and fine-grained access control out of the box.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux servers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Run Kubernetes nodes on self-hosted Linux infrastructure.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Kubernetes\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, service discovery, and rollouts.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": \"Prometheus, Grafana, Loki\",\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and logs for alerting and incident response.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab (self-hosted)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD, runners, and registry for self-hosted deployments.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Append-only CRDT update log in Postgres\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Persist Yjs update deltas for version history and point-in-time reconstruction.\"\n    }\n  ],\n  \"main_risk\": \"Scaling the stateful Yjs WebSocket layer and coordinating many simultaneous editors per document.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16300,"probe_id":5971,"sample":1,"system":"collaborative_editor","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA collaborative document editor with simultaneous editing and version history.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolithic realtime sync\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"document editor ui and crdt client\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"nodejs\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"runtime for server and websockets\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"documents, versions, and history\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"yjs\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simultaneous editing with crdts\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"sessions and operation caching\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted user auth and sessions\"\n  }],\n  \"main_risk\": \"Realtime layer may bottleneck under high concurrent edits.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16311,"probe_id":5972,"sample":1,"system":"marketplace","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices on Kubernetes with event-driven messaging\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast, componentized UI for complex marketplace interactions.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code reuse across iOS/Android; matches frontend expertise.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast iteration, moderation ML integration, strong async libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance async, auto-generated docs, built-in validation.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Straightforward for two-sided marketplace resource operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID for payments/listings; JSON for flexible listing attributes.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage, rate limiting, message queue backing.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Single cache tier via same Redis cluster; listing/search caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable async job processing for moderation, payments, notifications.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Powerful full-text listing search; faceting by category, price, location.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable storage for listing images; proven for marketplace scale.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency messaging and notification updates for two-sided interaction.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, scalable; supports API and mobile clients.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling microservices; marketplace demand variability managed well.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native container orchestration; handles service discovery and rolling updates.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, ELK Stack\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and logs for debugging marketplace issues; payment/moderation traceability.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native to version control; fast feedback for two-sided feature delivery.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Segment\",\n      \"service\": \"Segment\",\n      \"provider\": \"Twilio\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Event pipeline for buyer/seller behavior; multi-warehouse routing.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"scikit-learn\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Listing fraud/spam detection; lightweight inference within Python backend.\"\n    }\n  ],\n  \"main_risk\": \"Payment processing failures or chargebacks at scale require bulletproof transaction isolation and audit trails.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch (migrate to managed cloud search or partition by geography)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16391,"probe_id":5972,"sample":1,"system":"marketplace","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"responsive single-page app for web users\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"cross-platform native mobile app for iOS and Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"high concurrency and performance for API services\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"chi\",\n      \"service\": null,\n      \"provider\": \"go-chi/chi\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight HTTP router for Go microservices\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenResty\",\n      \"service\": \"Kong Gateway\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"centralized API management, auth, rate limiting\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"transactional data for users, listings, orders\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": \"MongoDB Atlas\",\n      \"provider\": \"MongoDB, Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"flexible schema for chat messages at scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"caches hot listings, user sessions, rate limit counters\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"durable event streams for async payment and moderation\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"full-text search with facet and geospatial filters\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object Storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"stores listing images and document attachments\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"persistent connections for instant messaging and notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"social login, MFA, and API authentication\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"orchestrates microservice containers with auto-scaling\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Istio\",\n      \"service\": \"Istio service mesh\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"service mesh for traffic management and observability\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"unified metrics, logs, and distributed tracing\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub (Microsoft)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"automated build, test, deploy to EKS\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog, Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"product analytics, funnel tracking, session replay\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Deep Learning\",\n      \"service\": \"Amazon Rekognition\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"automated detection of inappropriate image content\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Payment Gateway\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"processes payments, holds funds, handles payouts\"\n    }\n  ],\n  \"main_risk\": \"Eventual consistency across payment, order, and inventory services may cause race conditions and financial loss.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16315,"probe_id":5972,"sample":1,"system":"marketplace","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides fast performance and excellent SEO for marketplace discovery.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high concurrency and performance for handling marketplace traffic.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Ensures transactional integrity and consistency for payments and listings.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enables complex filtering, geo-spatial queries, and full-text search for listings.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reduces DB load for frequent read operations like category listings.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads secure user management, MFA, and social login overhead.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust scaling and lifecycle management for containerized microservices.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Pusher\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies implementation of instant messaging between buyers and sellers.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable and scalable storage for large volumes of product listing images.\"\n    }\n  ],\n  \"main_risk\": \"Data inconsistency between the relational primary database and the search index during high-frequency writes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16317,"probe_id":5972,"sample":1,"system":"marketplace","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless market platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Broad ecosystem and component model maturity.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift Kotlin\",\n      \"service\": \"App Store Connect Play Console\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native SDKs for maximum device integration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-stack synergy and strong typing ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included backend framework built on Express.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ultra-low latency globally with minimal ops.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless Postgres with branching and instant scale.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-maintenance Redis with global replication.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Cache\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Edge caching built into Workers platform.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL Full Text\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sufficient for moderate listing catalog via tsvector.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Queues\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable queue with Workers integration.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-cost storage with Workers direct access.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably Real-time Ltd\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable pub/sub with presence and history.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade auth with social and MFA support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global CDN and serverless execution built-in.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified compute for edge routing and logic.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Honeycomb\",\n      \"provider\": \"Honeycomb IO Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"High-cardinality tracing and cardinality-friendly UI.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Extensive marketplace and native self-hosted runners.\"\n    }\n  ],\n  \"main_risk\": \"Runaway Orchestrator costs under extreme scale due to dynamic compute demands.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16330,"probe_id":5972,"sample":1,"system":"marketplace","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-managed microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast component model, wide ecosystem for marketplaces and SEO support.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android accelerates development.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js (TypeScript)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development velocity and strong JavaScript ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured server framework with DI and scalability patterns.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Server\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible client-driven schema for marketplace data and subscriptions.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong relational guarantees for transactions and complex queries.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"columnar OLAP\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Analytical workloads and large-scale reporting from event ETL.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching, rate-limiting, and short-lived session storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable decoupling for background jobs and moderation pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text, faceted and geo search for listings at scale.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for images, attachments, and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable real-time channels for messaging and presence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure authentication, social logins, and enterprise SSO support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"CDN + static hosting + DNS\",\n      \"service\": \"Amazon CloudFront + Amazon S3 + Route 53\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global static asset delivery and reliable DNS routing.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"containers\",\n      \"service\": \"Amazon ECS on Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers simplify operations and scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"metrics/tracing/logs\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated metrics, traces, and logs for production monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Flexible pipelines and native GitHub integration for deployments.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"cloud data warehouse\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast ad-hoc analytics and cross-team reporting from event data.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"model serving\",\n      \"service\": \"Amazon SageMaker Endpoints\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable moderation models for images, text, and behavioral signals.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"PCI-compliant payments, payouts, subscriptions, and dispute handling.\"\n    }\n  ],\n  \"main_risk\": \"Heavy dependence on AWS managed services creates vendor lock-in and potential cost escalation at very large scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16331,"probe_id":5972,"sample":1,"system":"marketplace","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"renders listings and marketplace UI\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles listings, payments, moderation logic\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores users, listings, transactions\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"indexes and queries listings\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"s3\",\n    \"provider\": \"aws\",\n    \"delivery\": \"saas\",\n    \"reason\": \"stores listing photos and documents\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websocket\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"powers buyer-seller messaging\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"manages user sign-in and roles\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"ec2\",\n    \"service\": \"ecs\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"runs backend services\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"opentelemetry\",\n    \"service\": \"datadog\",\n    \"provider\": \"datadog\",\n    \"delivery\": \"saas\",\n    \"reason\": \"monitors performance and errors\"\n  }],\n  \"main_risk\": \"Single cloud provider lock-in limits future migration options.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16340,"probe_id":5973,"sample":1,"system":"marketplace","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"monolithic_with_managed_services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single codebase reduces maintenance burden for two engineers\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Not needed initially; web-responsive frontend sufficient\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development velocity for small team, rich ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in admin, auth, ORM, validation; minimal scaffolding code\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native Django extension, consistent with backend choice\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Free, robust, JSONB for flexible schemas, runs on modest hardware\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single instance sufficient; handles sessions, rate limiting, messaging\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Django-native async task processing; uses Redis broker, no extra service\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in to primary database; eliminates separate search service cost\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"AWS S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pay-per-use under $10/month initially; integrated payment processing partner\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSockets for messaging; leverages Django, avoids separate service\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django auth + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in Django auth; simple JWT tokens for stateless API\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Render or Railway\",\n      \"provider\": \"Render or Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier covers single dyno; PostgreSQL included; ~$7/month minimum\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Not needed at monolith scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier for error tracking; critical for small team\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier sufficient; native to GitHub-hosted code\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Defer; basic Django logging sufficient initially\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe Payments API\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standard marketplace payments; ~2.9%+30¢ per transaction, no monthly fee\"\n    }\n  ],\n  \"main_risk\": \"Single server with no redundancy; unplanned downtime affects all users until replacement provisioned.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16407,"probe_id":5973,"sample":1,"system":"marketplace","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Serverless BaaS + Next.js\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SSR/SSG, free tier fits budget.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless API routes, colocated with frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"TypeScript Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Static typing, shared across full stack.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Vercel\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Deploys Next.js, free hobby tier.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Relational DB with free tier, realtime, auth.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in FTS avoids separate search service cost.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Listing images, free 1 GB included.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Chat and live updates, integrated free tier.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth/OIDC\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User authentication, RLS integration, free.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error monitoring, free tier 5k events.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft (GitHub)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build and deploy, free minutes.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Google Analytics\",\n      \"service\": \"Google Analytics\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Traffic and behavior tracking, free.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Payment processing, no fixed infra cost.\"\n    }\n  ],\n  \"main_risk\": \"Supabase free tier limits (500 MB DB, 2 GB bandwidth) may throttle early growth requiring a paid upgrade.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16344,"probe_id":5973,"sample":1,"system":"marketplace","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Allows sharing data types between frontend and backend to increase developer velocity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides unified full-stack routing and server-side rendering with low maintenance overhead.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless PostgreSQL offers generous free tier and scales automatically for low-traffic marketplaces.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Vector and full-text search features in Postgres remove the need for expensive secondary search tech.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Auth0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Security is critical; outsourced auth saves time and minimizes compliance liability.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Vercel\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles global CDN deployment and ephemeral serverless functions within budget.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Cloudflare R2\",\n      \"service\": \"R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Zero egress fees protect the budget as image and media uploads increase.\"\n    }\n  ],\n  \"main_risk\": \"High coupling within the monolith may complicate refactoring as the marketplace features grow in complexity.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16352,"probe_id":5973,"sample":1,"system":"marketplace","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"single-region monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"HTML/CSS/JavaScript\",\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"fastest route to market with zero infra cost\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"high developer velocity on a budget\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"minimal boilerplate, automatic OpenAPI docs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"FastAPI built-in\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"single & free\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"$0 cost, ACID by default, simple to back up\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"memory\",\n      \"service\": \"FastAPI built-in\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"zero extra infra for bursty reads\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"process\",\n      \"service\": \"FastAPI background tasks\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"light traffic for first year\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"SQLite FTS5\",\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"supports full-text search without external cost\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"filesystem\",\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"images use <1 GB in year one\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"none\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"polling acceptable at low traffic\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"bcrypt\",\n      \"service\": \"FastAPI middleware\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"season\": \"simple password hashing\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io Hobby\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"$7/month, global edge network, Docker native\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Fly.io native\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"no Kubernetes tax\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"stdout logs\",\n      \"service\": \"Fly.io logs\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"saas\",\n      \"reason\": \"$0 extra, basic error visibility\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"2k free minutes/month, zero setup\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Plausible\",\n      \"provider\": \"Plausible Analytics\",\n      \"delivery\": \"saas\",\n      \"reason\": \"$9/month, privacy-friendly, <1k monthly visits\"\n    },\n    {\n      \"role\": \"moderation\",\n      \"technology\": \"regex + heuristics\",\n      \"service\": \"FastAPI middleware\",\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"manual review queue until revenue permits\"\n    }\n  ],\n  \"main_risk\": \"All platform data on one hobby VM with minimal redundancy.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16361,"probe_id":5973,"sample":1,"system":"marketplace","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-vm monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SSR and static export for SEO; easy deployment.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js (TypeScript)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Wide ecosystem, fast development for two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured, testable server architecture for maintainability.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (HTTP/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple REST JSON API for broad client compatibility.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID, tsvector search, familiar SQL for marketplace data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session/store and rate limiting with small memory footprint.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis-backed queue (BullMQ)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background jobs using existing Redis, no extra service.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Avoid separate search service; tsvector handles listing queries initially.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible API\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cheap, durable object storage with S3 compatibility.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets (Socket.IO)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple server-side WebSocket support for messaging and notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT + bcrypt (self-hosted)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Keep control, avoid third-party auth costs initially.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"virtual machines\",\n      \"service\": \"Hetzner Cloud CX11\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lowest-cost reliable VMs for full-stack deployment under budget.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple container orchestration for two-engineer operations.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"error monitoring\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Sentry free tier captures errors with minimal setup.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI minutes for small team, integrates with repo.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"web analytics\",\n      \"service\": \"Google Analytics\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free traffic insights for early product decisions.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Payment processor (Stripe API)\",\n      \"service\": \"Stripe Payments\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Industry-standard payments, low integration effort.\"\n    }\n  ],\n  \"main_risk\": \"Single VPS-hosted database and services create uptime and scaling risk as user traffic grows.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16359,"probe_id":5973,"sample":1,"system":"marketplace","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"jamstack monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"next.js\",\n    \"service\": \"vercel\",\n    \"provider\": \"vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"unified frontend, api routes, cheap hosting\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"auth, realtime, storage, search included\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"built into chosen database platform\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": null,\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"included in same managed platform\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": null,\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"needed for messaging at no extra cost\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": null,\n    \"service\": \"vercel\",\n    \"provider\": \"vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"automatic with frontend hosting\"\n  }],\n  \"main_risk\": \"vendor lock-in and eventual paid tier costs after free allowances\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"Grok"},{"response_id":16375,"probe_id":5974,"sample":1,"system":"marketplace","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed microservices on Kubernetes with event-driven messaging\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles complex two-sided UI with real-time updates efficiently\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single codebase for iOS and Android reduces maintenance at scale\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrent request handling, low latency, efficient for 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance RPC for inter-service communication and mobile APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible queries reduce over-fetching; efficient for marketplace data access patterns\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for payments and listings; managed reduces operational burden\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": \"Atlas\",\n      \"provider\": \"MongoDB Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible schema for messages and moderation logs; horizontal scalability\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache, listing cache, rate limiting; managed scaling for 100k concurrent\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event streaming for payments, moderation, messaging; exactly-once semantics critical\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search for listings; managed handles 10M MAU indexing volume\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Listing images and user avatars; global CDN reduces latency\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time messaging between buyers and sellers; Go handles concurrent connections\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, stateless authentication scales horizontally without session store\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling microservices; managed reduces cluster operations overhead\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native orchestration for containerized services on GKE\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": \"Cloud Trace and Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics and distributed tracing for 100k concurrent debugging; managed retention\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight VCS integration, sufficient for marketplace deployment frequency\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Warehouse for marketplace metrics; SQL queries on 10M user dataset\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Lite\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Moderation and listing relevance ranking; managed model serving scales on demand\"\n    }\n  ],\n  \"main_risk\": \"Payment processing reliability and fraud detection must withstand 100k concurrent transactions; any outage directly impacts revenue.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary database—switch to distributed RDBMS or sharded architecture if single-instance write scaling becomes bottleneck beyond 10M MAU\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16454,"probe_id":5974,"sample":1,"system":"marketplace","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SEO-friendly SSR and fast global delivery for marketplace listings.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase for iOS and Android, delivered via app stores.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong typing and developer productivity for large backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js\",\n      \"service\": \"NestJS\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated modular structure suitable for complex marketplace logic.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Server\",\n      \"provider\": \"Apollo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible data fetching for varied frontends, reducing over-fetching.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational DB with strong consistency for payments and listings.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable key-value store for listing view counts and activity feeds.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, real-time presence, and query cache for high concurrency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Amazon MQ for RabbitMQ\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable async processing for messaging, payments, and moderation.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search for listings with facets, geo, and relevance tuning.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable and scalable storage for listing images and user uploads.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Amazon API Gateway WebSockets\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed WebSocket fan-out for bidirectional messaging at scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"B2C and B2B identity management with social login and MFA.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Bare metal and virtual infrastructure for all services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for stateless microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, and traces for proactive incident response.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, deploy pipelines integrated with repo.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL Data Warehouse\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Petabyte-scale analytics for user behavior and marketplace metrics.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"Amazon SageMaker\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Host custom moderation models for images and text classification.\"\n    }\n  ],\n  \"main_risk\": \"Real-time messaging at 100k concurrent connections may strain WebSocket fan-out and require careful capacity planning.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16381,"probe_id":5974,"sample":1,"system":"marketplace","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and superior performance for marketplace load.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable ACID transactions required for payments and accurate listing state.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency retrieval for sessions and high-frequency search result caching.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable full-text search and filtering for marketplace listings.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Managed Streaming for Kafka\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles high-throughput asynchronous messaging and event-driven integration between services.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly available and cost-effective storage for user-uploaded listing images.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"service\": \"Pusher\",\n      \"technology\": null,\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Instantly delivers messages and notifications without managing complex WebSocket scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"service\": \"Auth0\",\n      \"technology\": null,\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security compliance requirements.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust container orchestration for microservices at massive scale.\"\n    }\n  ],\n  \"main_risk\": \"Scaling the relational database horizontally while maintaining strict consistency during peak concurrent marketplace transactions.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16387,"probe_id":5974,"sample":1,"system":"marketplace","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Large community, strong tooling\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High concurrency, low latency\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"grpc\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient microservice communication\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Envoy\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Layer 7 proxy, load balancing\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance, strong extensions\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond reads/writes\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Shared in-memory store\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput event streaming\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text and geo search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable binary storage\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Pusher\",\n      \"provider\": \"Pusher Limited\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency messaging delivery\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Battle-tested identity provider\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers, cost control\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Kubernetes managed control plane\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, traces, logs\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in CI/CD for Git repos\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-speed analytical queries\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Open Policy Agent\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Centralized policy decision point\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes in search during peak load with cost of scaling.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16388,"probe_id":5974,"sample":1,"system":"marketplace","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices_kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted SPA framework with strong ecosystem for large marketplaces.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android accelerating feature parity and delivery.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low-latency performance for marketplace services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight Go web framework with minimal overhead and good performance.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Predictable, cacheable public API and broad client compatibility.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora (PostgreSQL compatible)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional consistency, strong relational modeling, and horizontal read scaling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Amazon DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast, highly available key-value store for denormalized read models and sessions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching, counters, and ephemeral session data at scale.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event streaming for async workflows, notifications, and analytics pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search, relevance tuning, and scalability for listings and discovery.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost efficient storage for images, thumbnails, and large assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Amazon API Gateway (WebSocket)\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable connection management for messaging and live presence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure identity, social login, and rapid compliance with user scale.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon Web Services\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global footprint and integrated managed services for large-scale applications.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration with managed control plane and autoscaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Traces, metrics, logs, and dashboards for operational visibility at scale.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with wide runner ecosystem and easy pipeline automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable analytics warehouse for events, user behavior, and business reporting.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow/PyTorch (model runtime)\",\n      \"service\": \"Amazon SageMaker\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed inference endpoints for moderation and recommendation models.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Payments (PCI)\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"PCI-compliant payments, payouts, and dispute handling with global support.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity and vendor lock-in across multiple managed AWS services and SaaS increases costs and recovery surface.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16396,"probe_id":5974,"sample":1,"system":"marketplace","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"web listings and search UI\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"react-native\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"cross-platform marketplace apps\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high concurrency for 100k users\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"gin\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight Go API services\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID for payments and listings\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"session and listing caching\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"event processing for messaging\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full-text listing search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"images and documents\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websockets\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"live messaging between users\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user identity and sessions\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"ec2\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"compute for services\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"service scaling and deployment\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting at scale\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": null,\n    \"service\": \"redshift\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user behavior and metrics\"\n  }, {\n    \"role\": \"other\",\n    \"technology\": null,\n    \"service\": \"stripe\",\n    \"provider\": null,\n    \"delivery\": \"saas\",\n    \"reason\": \"payment processing\"\n  }],\n  \"main_risk\": \"Kafka and Kubernetes operational complexity under peak load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16416,"probe_id":5975,"sample":1,"system":"marketplace","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless_microservices_eu\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard SPA framework; EU compliance via backend only\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with frontend; EU data processing at backend\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid iteration; strong ecosystem for payments, ML, moderation\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-native; minimal overhead; excellent for marketplace workflows\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless design enables horizontal scaling; straightforward caching\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance; full-text search; EU-hosted managed service available\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session state; rate limiting; real-time counters for listings\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous payments, moderation tasks; reliable delivery guarantees\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text listing search; faceting; filters for two-sided discovery\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scality RING or MinIO\",\n      \"provider\": \"self_hosted or EU provider\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Listing images/videos; EU-only storage; S3-compatible interface\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Messaging between buyers/sellers; real-time notifications via FastAPI\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted implementation ensures EU data residency; standard protocol\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway or Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based Kubernetes; GDPR-compliant; cost-effective alternative to hyperscalers\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway or Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native Kubernetes orchestration; auto-scaling for marketplace demand spikes\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack; EU data residency; adequate for marketplace monitoring\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab SaaS EU\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option; GDPR compliance; integrated DevOps platform\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible or Matomo\",\n      \"service\": \"Matomo Cloud EU\",\n      \"provider\": \"Matomo\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant web analytics; EU server option; privacy-first approach\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"scikit-learn + TensorFlow Lite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Content moderation classification; runs on-premise; no external model serving\"\n    }\n  ],\n  \"main_risk\": \"Scaling PostgreSQL and Elasticsearch for millions of listings and search queries requires careful sharding and indexing strategy.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch should migrate to managed EU offering or distributed sharding when query latency exceeds SLA\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16499,"probe_id":5975,"sample":1,"system":"marketplace","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page app for marketplace UI.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile client.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient, static typing for API services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"API Gateway\",\n      \"service\": \"Kong\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Central routing, rate limiting, auth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions for marketplace listings and payments.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session store and query caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event streaming for async decoupling of services.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for listings.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based object storage for listing images.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time messaging between users.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted identity provider, EU data residency.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-managed Kubernetes cluster.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Helm\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Package management for Kubernetes deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted monitoring for EU data control.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab Self-Managed\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted CI/CD, EU data sovereignty.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible Analytics\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly, EU-made, self-hosted.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted content moderation model.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Payment Processing\",\n      \"service\": \"Mollie\",\n      \"provider\": \"Mollie B.V.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based PSP, handles SCA/PCI compliance.\"\n    }\n  ],\n  \"main_risk\": \"Maintaining strict EU data residency across a mix of self-hosted and SaaS components while ensuring high availability.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16418,"probe_id":5975,"sample":1,"system":"marketplace","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich ecosystem and high performance for marketplace dynamic interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage for request handling.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and ACID compliance are required for financial transactions.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable full-text search capability for listing discovery.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable event streaming for asynchronous order and notification processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud provider ensures data residency compliance for image assets.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration with robust European region support.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies secure PII handling with configurable EU-based tenant residency.\"\n    }\n  ],\n  \"main_risk\": \"Managing cross-region data residency compliance while maintaining low-latency synchronization across distributed services.\",\n  \"first_component_to_replace_at_scale\": \"OpenSearch\"\n}","model_label":"Gemini (lite)"},{"response_id":16425,"probe_id":5975,"sample":1,"system":"marketplace","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"open_source\",\n      \"delivery\": \"client\",\n      \"reason\": \"Most mature SPA framework with strong EU CDN support.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift (iOS), Kotlin (Android)\",\n      \"service\": null,\n      \"provider\": \"open_source\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native stacks for App Store/Play Store compliance.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"open_source\",\n      \"delivery\": \"managed\",\n      \"reason\": \"First-class serverless runtime in AWS Lambda.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"open_source\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Opinionated Node.js framework with strong architecture patterns.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"open_source\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance and strong EU hosting options.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": null,\n      \"service\": \"Firebase Realtime Database\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-friction for pub/sub messaging at scale.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Redis with EU data residency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Cloud Tasks\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless delayed execution with EU zones.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Algolia\",\n      \"provider\": \"Algolia\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Hosted search with EU data residency options.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Google Cloud Storage\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap, durable, and EU data residency options.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Pusher Channels\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency messaging with EU data residency.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant auth with EU data residency.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Regional clusters in Frankfurt/Netherlands for EU compliance.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers with EU zones and native scale-to-zero.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Stackdriver\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated monitoring/logging with EU data residency.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Seamless integration with GCP and EU data locality.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant product analytics with EU servers.\"\n    }\n  ],\n  \"main_risk\": \"Single region GCP reliance for EU data residency may lead to availability issues.\",\n  \"first_component_to_replace_at_scale\": \"Algolia\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16438,"probe_id":5975,"sample":1,"system":"marketplace","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"service-oriented microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast developer velocity and rich listing UX.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android marketplace app.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, simple deployable binaries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal HTTP framework with good performance in Go ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL (gqlgen)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible client queries for two-sided marketplace data needs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity, transactional payments, and EU-hosted managed service.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"Aiven for ClickHouse\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast analytics and reporting on marketplace events.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and ephemeral session storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event bus for async processing and audit trails.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, relevance-focused search tuned for listings; easy self-hosting in EU.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible Object Storage\",\n      \"service\": \"Hetzner Object Storage\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based, S3-compatible storage for images and user uploads.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency messaging for chat and notifications, self-hosted inside EU.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured auth, extensible, and can be hosted entirely in the EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud Compute\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European provider with competitive pricing and EU data residency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Kubernetes Service\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with control over EU deployment and networking.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus / Grafana / Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source observability stack, can be hosted within EU for compliance.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab (self-hosted)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pipeline and repo hosting self-deployed in EU to control personal data.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics with self-hosting option for EU data residency.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Run moderation and embedding models on-cluster under EU control.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"PCI-compliant payment gateway\",\n      \"service\": \"Stripe (Europe)\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature payments with EU operations and strong compliance tooling.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity from combining self-hosted Kubernetes with multiple managed platform vendors increases compliance and reliability burden.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16435,"probe_id":5975,"sample":1,"system":"marketplace","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard web marketplace UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"node.js\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ecosystem for realtime and apis\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"express\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight api and logic layer\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU storage for personal data\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"listings and text search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"object storage\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU images and media\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websocket\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"in-app messaging between parties\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU personal identity data\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU infrastructure preference\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"service deployment at scale\"\n  }],\n  \"main_risk\": \"Payments integration may export personal data outside EU.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16449,"probe_id":5976,"sample":1,"system":"marketplace","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices on Kubernetes with event-driven messaging\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source, performant SPA for marketplace UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"client\",\n      \"reason\": \"Open source cross-platform mobile with shared codebase\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, strong ecosystem for data processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ORM, auth, admin, moderation features built-in\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, simple, suitable for marketplace operations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance, JSONB for flexible schemas, full-text search\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session management, rate limiting, real-time data\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Broadcom\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable async processing for messaging, payments, moderation\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search, faceting, filtering for listing discovery\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Listing images and user uploads via MinIO\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time messaging between buyers and sellers\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, scalable authentication for two-sided users\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, self-healing\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Service discovery, deployment, infrastructure as code\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + ELK\",\n      \"service\": null,\n      \"provider\": \"Prometheus, Grafana, Elastic communities\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, centralized logging for debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full CI/CD pipeline, container registry, self-hostable\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL write scaling requires sharding strategy as listing volume grows; plan horizontal partitioning early.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16531,"probe_id":5976,"sample":1,"system":"marketplace","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-Driven Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Responsive web UI, open-source library.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile apps from shared code.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Non-blocking I/O, vast ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, TypeScript, open-source.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance, relational, proven.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching and pub/sub.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message broker for async tasks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for marketplace listings.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for uploads.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"Socket.IO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional communication for chat/notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full IAM with SSO, open source.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Operating system for servers.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling and HA.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus & Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF & Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated pipelines, open-core self-hosted.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Superset\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"BI and visualization platform.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"BentoML\",\n      \"service\": null,\n      \"provider\": \"BentoML\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serve moderation classifiers, open-source.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting many stateful components (Postgres, Elasticsearch, RabbitMQ) increases operational complexity and requires deep expertise.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL\"\n}","model_label":"DeepSeek"},{"response_id":16455,"probe_id":5976,"sample":1,"system":"marketplace","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant ecosystem with robust server-side rendering support for SEO.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency performance and maintainable type safety for marketplace logic.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven reliability, ACID compliance, and excellent relational modeling for complex transactions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance key-value store essential for session management and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable event streaming for decoupled cross-service inter-communication.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Advanced full-text search and filtering capabilities required for marketplace listings.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, high-performance object storage for media and binary assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.io\",\n      \"service\": null,\n      \"provider\": \"Socket.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enables low-latency chat and instant marketplace notifications.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for orchestrating containerized workloads at scale.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of managing distributed state in self-hosted infrastructure during high traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16460,"probe_id":5976,"sample":1,"system":"marketplace","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"open-source self-hosted marketplace\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted, strong ecosystem for UI development\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform with shared React codebase efficiency\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Readable, batteries-included for rapid marketplace development\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-stack batteries-included, ORM, admin, and auth built-in\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"Django REST Framework project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Seamless API development within Django ecosystem\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust ACID transactions, JSON support, full-text search\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast in-memory cache and pub/sub for messaging moderation\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary cache with seconds-tier persistence\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"RabbitMQ project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature open-source message broker with robust routing\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured search with geo, analytics, and synonym support\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage with Kubernetes-native deployment\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels + Redis\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable WebSocket transport within Django ecosystem\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django-allauth\",\n      \"service\": null,\n      \"provider\": \"Pinax\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Comprehensive OAuth2, email, SMS, and MFA support\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard container orchestration with horizontal scaling\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Argo Workflows\",\n      \"service\": null,\n      \"provider\": \"Argo Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native workflow orchestration with GitOps\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana Stack\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified logs, metrics, and traces with self-hosted dashboards\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Tekton\",\n      \"provider\": \"CD Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native pipelines with strong security posture\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Blazing fast analytical queries with low operational overhead\"\n    },\n    {\n      \"role\": \"moderation\",\n      \"technology\": \"Python + OpenNLP\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source NLP toolkit for scalable content moderation\"\n    }\n  ],\n  \"main_risk\": \"Operational overhead of self-hosting realtime and search at scale\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16467,"probe_id":5976,"sample":1,"system":"marketplace","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices with realtime marketplace core\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Component-based SPA for search, listings, messaging; broad ecosystem and tooling.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase mobile apps sharing UI and business logic with web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Elixir\",\n      \"service\": null,\n      \"provider\": \"Elixir Lang\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and fault-tolerance for messaging and marketplace workflows.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Phoenix Framework\",\n      \"service\": null,\n      \"provider\": \"Phoenix Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in channels, presence, and productivity for realtime messaging and APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL (Absinthe)\",\n      \"service\": null,\n      \"provider\": \"Absinthe\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible client-driven queries for listings, search results, and message threads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions for listings, orders, payments, and moderation records.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-volume analytics and event aggregation for business metrics and fraud detection.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching, rate limits, and ephemeral session storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable asynchronous jobs for email, notifications, and background processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Feature-rich, self-hostable full-text and faceted search for listings.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO (S3-compatible)\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted S3-compatible object store for images, attachments, and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Phoenix Channels (WebSocket)\",\n      \"service\": null,\n      \"provider\": \"Phoenix Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable realtime messaging, presence, and delivery guarantees via Elixir processes.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source identity, OAuth2/OIDC, SSO, and role-based access control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux virtual machines (cloud or on-prem)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible self-hosted compute substrate for compliance and control.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, and service management across the cluster.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, alerting, and dashboards for performance and operational visibility.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (Community Edition)\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated self-hosted CI/CD, registry, and pipeline automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": \"Matomo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly, self-hosted web analytics for user behavior and funnels.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"BentoML (serving PyTorch/TensorFlow models)\",\n      \"service\": null,\n      \"provider\": \"BentoML\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Host moderation and ranking models with scalable, open-source model server.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Kill Bill\",\n      \"service\": null,\n      \"provider\": \"Kill Bill\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source billing orchestration and connectors for card/processor integrations.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity and staffing required to operate, secure, and scale a fully self-hosted open-source stack.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16470,"probe_id":5976,"sample":1,"system":"marketplace","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA two-sided marketplace with listings, search, payments, messaging, and moderation.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"marketplace ui with listings and search\"\n  },{\n    \"role\": \"backend_language\",\n    \"technology\": \"node.js\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles payments messaging moderation\"\n  },{\n    \"role\": \"backend_framework\",\n    \"technology\": \"nestjs\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"structured api and business logic\"\n  },{\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores users listings transactions\"\n  },{\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"session and listing cache\"\n  },{\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async jobs for moderation\"\n  },{\n    \"role\": \"search\",\n    \"technology\": \"meilisearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full-text search over listings\"\n  },{\n    \"role\": \"object_storage\",\n    \"technology\": \"minio\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"images and documents\"\n  },{\n    \"role\": \"realtime\",\n    \"technology\": \"socket.io\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"messaging between users\"\n  },{\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"user identity and oauth\"\n  },{\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"deploy and scale services\"\n  },{\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  },{\n    \"role\": \"ci_cd\",\n    \"technology\": \"jenkins\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"build and deploy pipeline\"\n  }],\n  \"main_risk\": \"Operational overhead of maintaining self-hosted services for search realtime and orchestration.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Grok"},{"response_id":16489,"probe_id":5977,"sample":1,"system":"ecommerce","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices on Kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast, component-based UI for catalogue and checkout flows\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend, native performance on iOS/Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, concurrent, ideal for inventory and order processing microservices\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework, low latency for checkout transactions\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, cacheable, sufficient for e-commerce operations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for orders and inventory, proven at scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session state and cart persistence with instant scaling\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Catalogue caching, rate limiting, real-time inventory counts\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples checkout from fulfilment, handles order event streams\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast product catalogue search with faceted navigation\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Product images, invoices, durable and globally distributed\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live inventory updates and promotional notifications to clients\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed identity, MFA support, reduces custom auth risk\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling microservices, native service discovery\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pod orchestration, rolling deployments, health management\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and ELK\",\n      \"service\": \"CloudWatch, X-Ray\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, logs, traces for microservices debugging and performance\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git-based deployment\",\n      \"service\": \"CodePipeline\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Automated testing and deployment to EKS clusters\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Data warehouse for sales, customer, promotion analytics and reporting\"\n    }\n  ],\n  \"main_risk\": \"Kafka consumer lag delays order fulfilment if message processing fails; implement dead-letter queues and consumer group monitoring.\",\n  \"first_component_to_replace_at_scale\": \"OpenSearch if full-text search becomes query bottleneck; migrate to dedicated search cluster or Algolia\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16575,"probe_id":5977,"sample":1,"system":"ecommerce","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page application for responsive web storefront.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native mobile apps for iOS and Android.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong typing for maintainable server code.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular architecture to organize catalogue, checkout, etc.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"HTTP APIs for frontend and mobile clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for orders, inventory, and user data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, rate limiting, and product catalog caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async processing of orders, fulfilment, and email notifications.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text product search with faceted filtering.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Store product images, static assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Push order status updates and low-stock alerts.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Customer identity and access management with social login.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global infrastructure with many managed services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration to run backend and workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Observability platform\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Metrics, logs, and APM in one platform.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Event analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics to track user behavior and conversions.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Machine Learning serving\",\n      \"service\": \"Amazon SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serve recommendation models and fraud detection.\"\n    }\n  ],\n  \"main_risk\": \"Database bottleneck as order volume grows, requiring sharding or CQRS later.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16491,"probe_id":5977,"sample":1,"system":"ecommerce","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offers superior SEO, server-side rendering, and seamless deployment workflows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high concurrency performance and memory efficiency essential for checkout and inventory scaling.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ensures strictly typed, low-latency communication between internal microservices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity is non-negotiable for inventory and financial order data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reduces database load for read-heavy catalogue browsing and session management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles asynchronous inventory updates and order fulfillment event streams reliably.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enables scalable, full-text product catalogue searching with filtering capabilities.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, durable storage for product media and static assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces security risks by offloading complex identity management and compliance requirements.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simplifies scaling and lifecycle management for containerized microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides comprehensive distributed tracing to identify bottlenecks across the microservice mesh.\"\n    }\n  ],\n  \"main_risk\": \"Maintaining data consistency across distributed services during high-concurrency peak traffic events.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16498,"probe_id":5977,"sample":1,"system":"ecommerce","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolithic API with microservices potential\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"React\",\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Industry standard for web storefronts.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"React Native\",\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform parity with frontend stack.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for e-commerce logic.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included for rapid store build.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple payloads over HTTP for catalogue and checkout.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong ACID guarantees for inventory and transactions.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency sessions and rate limiting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast catalogue reads to reduce DB load.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable async order and fulfilment tasks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Instant product search and suggestions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable media for product images.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live inventory and order status updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized user management and SSO.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Compute Engine\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Predictable, performance-tuned VMs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling workloads and future services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloud Operations\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tracing, logging, and metrics natively.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipeline for fast, reliable deploys.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade analytics on sales and traffic.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Hugging Face\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Local ML models for realtime promotions.\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL downtime halts checkout and inventory updates.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16495,"probe_id":5977,"sample":1,"system":"ecommerce","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Amazon S3 + CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Static SPA hosting with CDN for low-latency global delivery.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety and ecosystem fit for Node.js microservices.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, testable structure suited for enterprise APIs and DI.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST (OpenAPI)\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized, documented APIs with throttling and auth integration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for orders, inventory, and catalog consistency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Amazon Redshift\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Columnar analytics for reports, promotions analysis, and BI.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency sessions, hot product data, and inventory caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable, simple asynchronous processing for checkout and fulfillment.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text product search, facets, and relevance tuning.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for images, backups, and static assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User pools, federated login, and token management out of box.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Amazon ECS\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed container orchestration integrating with AWS networking and IAM.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers reduce infra operations and scale per-task.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Amazon CloudWatch + AWS X-Ray\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Traces, metrics, and logs unified for debugging and SLOs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature CI/CD with integrations to AWS and IaC workflows.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Segment\",\n      \"service\": \"Twilio Segment\",\n      \"provider\": \"Twilio\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Client and server event collection routed to Redshift and BI tools.\"\n    }\n  ],\n  \"main_risk\": \"Heavy reliance on AWS managed services creates vendor lock-in and exposes outage vulnerability across critical components.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16505,"probe_id":5977,"sample":1,"system":"ecommerce","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"next.js\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ssr for catalogue and checkout\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"node.js\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"api logic for inventory and promotions\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"acid transactions for orders\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast catalogue and session reads\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async fulfilment and promotions\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"product search and filtering\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stateless user authentication\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container orchestration for services\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  }],\n  \"main_risk\": \"Distributed transactions across services may cause inventory inconsistency under load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16520,"probe_id":5978,"sample":1,"system":"ecommerce","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless_monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier supports production storefronts; zero ops overhead for two engineers\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development; rich ecommerce libraries; suitable for serverless\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead; async native; excellent for AWS Lambda\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": \"AWS API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless; free tier includes 1M requests/month; scales automatically\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational model fits inventory/orders; free tier eligible; ACID guarantees\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage and catalog caching; free tier available; reduces DB load\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": \"AWS SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples checkout from fulfillment; free tier 1M requests; serverless\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in; eliminates separate search service cost; adequate for catalog size\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Product images; free tier 5GB; CloudFront CDN integration available\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier 50k monthly users; handles customer authentication and tokens\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS Lambda\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless; free tier 1M monthly invocations; auto-scaling; pay-per-use\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; unlimited private on free tier; tight GitHub integration\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"CloudWatch\",\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native Lambda integration; free tier logs; essential debugging for serverless\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible\",\n      \"service\": \"Plausible\",\n      \"provider\": \"Plausible\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-first; ~$20/month; event tracking for conversions; lightweight script\"\n    }\n  ],\n  \"main_risk\": \"Single AWS RDS instance becomes bottleneck as traffic scales beyond free tier limits; requires read replicas or migration to DynamoDB.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16605,"probe_id":5978,"sample":1,"system":"ecommerce","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Server-Side Rendered Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"server-rendered React with file-based routing, good DX\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"single language full-stack\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Next.js API Routes\",\n      \"service\": null,\n      \"provider\": \"Vercel\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"built-in API routes with Node.js in Next.js\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"free tier with generous limits\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"session and query caching on same VPS\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"background job queue for order processing\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"free image hosting for product catalog\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"user authentication with Row Level Security\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"Hetzner\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"$5/month VPS fits budget\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"free tier for logs, metrics, traces\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"free CI minutes for private repos\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"product analytics free up to 1M events/month\"\n    }\n  ],\n  \"main_risk\": \"Free-tier limits on Supabase and Grafana Cloud may constrain growth and require paid upgrades.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16527,"probe_id":5978,"sample":1,"system":"ecommerce","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Single language across stack reduces cognitive load for two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Provides robust structure, dependency injection, and scalability for growth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless pricing suits low initial traffic while offering relational integrity.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Generous free tier and edge deployment keeps infrastructure costs well under $200.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex security management, speeding up time-to-market.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Zero egress fees ensure costs stay predictable and minimal.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Deep integration with repository simplifies automated deployment workflows.\"\n    }\n  ],\n  \"main_risk\": \"High coupling in the monolith could delay feature delivery if domain boundaries are not strictly maintained.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16534,"probe_id":5978,"sample":1,"system":"ecommerce","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast deployment, free tier scales with users.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"JavaScript\",\n      \"service\": null,\n      \"provider\": \"ECMAScript\",\n      \"delivery\": \"client\",\n      \"reason\": \"Shared language with frontend reduces complexity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified serverless API and static frontend, low cost.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier includes 3 projects, autoscaling, Postgres.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed Redis free tier supports 25MB, enough for cache.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No SaaS queue fits free tier; minimal Kafka runs idle.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, instant setup, free for small product catalog.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"NextAuth.js\",\n      \"provider\": \"NextAuth\",\n      \"delivery\": \"client\",\n      \"reason\": \"Zero cost, integrates with Next.js seamlessly.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free 10GB storage and unlimited requests, S3 compatible.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Node.js\",\n      \"service\": \"Vercel Functions\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free 1M requests/month matches forecasted traffic.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"2000 free minutes/month, tight with Vercel.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Umami\",\n      \"provider\": \"Umami\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, GDPR compliant, runs in same infra.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to Vercel and Neon could raise costs at scale.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16537,"probe_id":5978,"sample":1,"system":"ecommerce","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-vm-monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Static SPA served via CDN for low cost and fast global delivery.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast developer velocity and large ecosystem for e‑commerce integrations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, well understood HTTP framework; low operational complexity.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (JSON/HTTP)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple interoperable API for frontend, mobile, and third‑party integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions and relational queries for orders, inventory, and promotions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching, rate limiting, and hot product data with minimal overhead.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"BullMQ (Redis-backed)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background jobs and fulfilment workflow using existing Redis instance.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Avoids extra service cost by using built‑in full‑text search for products.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap durable storage for product images and backups.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT (stateless tokens)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple user auth managed in application without third‑party costs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VM\",\n      \"service\": \"Droplet (2GB)\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single small droplet keeps monthly infra cost predictable and minimal.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error tracking / basic APM\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error tracking reduces debugging time with minimal setup.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI minutes for small team and straightforward GitHub integration.\"\n    }\n  ],\n  \"main_risk\": \"Single self‑hosted Droplet running Postgres, Redis, and app is a single point of failure and resource bottleneck.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16545,"probe_id":5978,"sample":1,"system":"ecommerce","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"small team knows it well\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"admin, orm, auth built-in\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable for relational store data\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"render\",\n    \"provider\": \"render\",\n    \"delivery\": \"managed\",\n    \"reason\": \"fits budget under 200 usd\"\n  }],\n  \"main_risk\": \"monolith couples all features, hard to split later with two engineers.\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"Grok"},{"response_id":16556,"probe_id":5979,"sample":1,"system":"ecommerce","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed microservices with event-driven inventory and asynchronous fulfillment\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High interactivity for catalogue browsing and checkout at 100k concurrent users\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend reduces maintenance for 10M MAU across devices\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency handling, fast compilation, strong ecosystem for microservices\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency inter-service communication for inventory and checkout coordination\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible querying for diverse catalogue and promotions clients; reduces overfetching\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID consistency for orders and inventory; managed scaling for 10M MAU\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": \"MongoDB Atlas\",\n      \"provider\": \"MongoDB\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Document flexibility for catalogue variants and promotion rules; auto-scaling\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond catalogue caching and session store for 100k concurrent users\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event log for inventory updates and asynchronous fulfillment workflow\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast full-text catalogue search with facets and filters at scale\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable storage for product images and promotional assets\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Secure user authentication and authorization without managing identity infrastructure\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scales microservices automatically; abstracts infrastructure from application teams\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Same as hosting; built-in service mesh capabilities for microservice communication\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Jaeger, and ELK\",\n      \"service\": \"Amazon CloudWatch, X-Ray\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native AWS integration for metrics, traces, and logs across distributed system\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitOps with Flux\",\n      \"service\": \"AWS CodePipeline, GitHub Actions\",\n      \"provider\": \"AWS, GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Declarative deployments to EKS; fast feedback loop for 100k concurrent user load\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Spark\",\n      \"service\": \"Amazon EMR\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Batch processing of purchase and promotion metrics for business intelligence\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL primary becomes bottleneck at 10M MAU without aggressive read replication and careful query optimization; inventory contention during flash sales causes coordination complexity.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16638,"probe_id":5979,"sample":1,"system":"ecommerce","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI, component reuse with mobile via React Native\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native mobile experience with shared business logic from web\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight high-performance HTTP framework for Go\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Centralized API management, rate limiting, auth for microservices\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for inventory and order consistency\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond cart and session storage, scaling to 100k concurrent\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Amazon MQ for RabbitMQ\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable async processing for order fulfillment and events\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-text product search with typo tolerance and faceted filtering\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable durable storage for product images and static assets\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Push real-time order status and inventory updates to clients\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0/OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable identity with social login, supports 100k concurrent logins\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud platform\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global reach, integrated managed services for all components\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Automated scaling and management of containerized microservices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring, tracing, logging across distributed services\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline as code integrated with source repository\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Understand user behavior, conversion funnels, and promotion effectiveness\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"Amazon SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time recommendation inference for products and promotions\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL may become write bottleneck during peak transactional loads like flash sales.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16562,"probe_id":5979,"sample":1,"system":"ecommerce","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and excellent performance for high-traffic microservices.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides strict contracts and efficient binary serialization for internal service communication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency required for transactional integrity in checkout and inventory.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency data access to handle 100k concurrent users for session and inventory state.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable full-text search capabilities required for a massive product catalogue.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles high-throughput asynchronous events like order processing and inventory updates.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly available and cost-effective storage for product images and static assets.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for managing containerized microservices at extreme scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces operational burden of complex security implementations and identity management.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive monitoring and distributed tracing essential for debugging distributed production systems.\"\n    }\n  ],\n  \"main_risk\": \"Write contention on high-demand inventory items during flash sales could bottleneck the primary database.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16568,"probe_id":5979,"sample":1,"system":"ecommerce","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature, widely adopted for web UIs.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift (iOS), Kotlin (Android)\",\n      \"service\": null,\n      \"provider\": \"Apple, Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native UX, best performance on mobile.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, fast, strong industry fit.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput, ecosystem fit.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for e-commerce APIs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, ACID-compliant RDBMS.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": null,\n      \"service\": \"DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High write throughput for sessions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond reads for hot data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput event streaming.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text and fuzzy product search.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable, durable binary storage.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time updates for prices/inventory.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable, low-friction OAuth flows.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers, cost-efficient.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Kubernetes-compatible orchestration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, tracing.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Gradle\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast, native CI for Java builds.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable cloud data warehouse.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": null,\n      \"service\": \"SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed ML predictions for discounts.\"\n    }\n  ],\n  \"main_risk\": \"Aurora PostgreSQL latency at peak load could cause timeout spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16570,"probe_id":5979,"sample":1,"system":"ecommerce","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices-serverless-hybrid\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast developer ecosystem for large single-page commerce applications.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java (OpenJDK)\",\n      \"service\": null,\n      \"provider\": \"Eclipse Adoptium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven JVM performance and ecosystem for enterprise transactional services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature framework for transactional microservices and rich integration patterns.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, cacheable, and contract-driven public API surface.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions and relational integrity for orders and payments.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB (NoSQL)\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Single-digit-millisecond scalable reads for catalog and hot inventory counters.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for sessions, carts, rate limits, and inventory hotspots.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, high-throughput event backbone for orders and fulfillment workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search, faceting, and relevancy for catalog and promotions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (object storage)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost-effective storage for images, receipts, and exports.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time order status and notifications with managed scaling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect (OAuth2)\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Federated identity, user pools, and scalable session management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker containers\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers reduce infra ops and scale services independently.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized deployments, autoscaling, and multi-service orchestration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + OpenTelemetry\",\n      \"service\": \"Amazon Managed Service for Prometheus\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable metrics and traces integrated with AWS monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline automation close to code with rich integrations.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"columnar MPP data warehouse\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast, scalable analytics for behavioral and business intelligence.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow\",\n      \"service\": \"Amazon SageMaker Endpoints\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time product recommendations with managed model hosting.\"\n    }\n  ],\n  \"main_risk\": \"Heavy reliance on a single cloud provider (AWS) increases vendor lock-in and blast-radius during outages.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16587,"probe_id":5979,"sample":1,"system":"ecommerce","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"React\", \"service\": null, \"provider\": null, \"delivery\": \"client\", \"reason\": \"SPA for catalogue and checkout\"},\n    {\"role\": \"backend_language\", \"technology\": \"Go\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"High performance for 100k concurrent\"},\n    {\"role\": \"backend_framework\", \"technology\": \"Gin\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Lightweight routing for Go APIs\"},\n    {\"role\": \"api\", \"technology\": \"REST\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Simple inter-service communication\"},\n    {\"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"ACID transactions for checkout\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Catalogue and session caching\"},\n    {\"role\": \"queue\", \"technology\": \"Kafka\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Async order and fulfilment events\"},\n    {\"role\": \"search\", \"technology\": \"Elasticsearch\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Fast product search at scale\"},\n    {\"role\": \"object_storage\", \"technology\": \"S3\", \"service\": null, \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Store product images\"},\n    {\"role\": \"auth\", \"technology\": \"OAuth2\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Secure user login\"},\n    {\"role\": \"hosting\", \"technology\": \"EC2\", \"service\": null, \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Compute for services\"},\n    {\"role\": \"orchestration\", \"technology\": \"Kubernetes\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Autoscaling 10M MAU\"},\n    {\"role\": \"observability\", \"technology\": \"Prometheus\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Metrics at high load\"},\n    {\"role\": \"ci_cd\", \"technology\": \"GitHub Actions\", \"service\": null, \"provider\": \"GitHub\", \"delivery\": \"saas\", \"reason\": \"Deployment automation\"}\n  ],\n  \"main_risk\": \"Distributed transactions may cause consistency issues under peak load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16595,"probe_id":5980,"sample":1,"system":"ecommerce","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for interactive e-commerce UIs\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with frontend team; faster iteration\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development; strong ecosystem for e-commerce and data processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance async; minimal boilerplate; excellent OpenAPI integration\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTPS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for e-commerce; familiar to third-party integrations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for inventory; EU-Frankfurt region available; mature ecosystem\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": \"MongoDB Atlas\",\n      \"provider\": \"MongoDB Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible schema for product catalogue variants and promotions; EU data centers\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session state; cart caching; reduces database load significantly\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event-driven order processing; fulfilment workflow; audit trail; EU region support\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Product catalogue search; faceted filtering; available in EU regions\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Product images and documents; eu-central-1 for GDPR compliance\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Passwordless and social login; customer data stays EU-region; compliance audit logs\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scales microservices independently; EU-Frankfurt region; automated failover\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native container orchestration; service mesh via Istio for traffic control\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"CloudWatch + Prometheus + Grafana\",\n      \"service\": \"CloudWatch + managed Prometheus\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified logging and metrics; EU data residency in Frankfurt\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with code repo; minimal operational overhead; EU data centers\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Superset\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted on EKS ensures EU data residency; open-source; flexible BI\"\n    }\n  ],\n  \"main_risk\": \"Kafka message ordering across partitions and idempotent processing critical for inventory consistency during concurrent orders.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16671,"probe_id":5980,"sample":1,"system":"ecommerce","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SSR for SEO, reusable React components, EU-hosted.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with Next.js, native mobile UX.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety across full stack.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated microservices framework with native TypeScript.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong Gateway\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API gateway for routing, rate limiting, auth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID, mature, EU-managed with backups.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caching, sessions, rate limiting, EU-managed.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event backbone for orders, inventory, promotions, EU-hosted.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Aiven for OpenSearch\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text catalogue search, EU-managed.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based object storage for product images.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (Socket.io)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time inventory and order tracking.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak project (CNCF)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC provider, self-hosted in EU, data residency.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-based IaaS, strong GDPR compliance.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, managed control plane, EU.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry + Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted EU stack for metrics, logs, traces.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub\",\n      \"provider\": \"GitHub (Microsoft)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD with self-hosted EU runners for data control.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud (EU region)\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics, EU-hosted, GDPR-friendly.\"\n    }\n  ],\n  \"main_risk\": \"Distributed event-driven complexity across multiple EU providers complicates operations and data consistency.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16598,"probe_id":5980,"sample":1,"system":"ecommerce","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and concurrency for handling checkout and inventory processing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and ACID compliance for inventory and transaction integrity.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low latency access for product catalog and session management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient asynchronous communication between fulfillment and order services.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Advanced full-text search capabilities for large product catalogs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable orchestration with European-based region deployments for data residency compliance.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standardized identity management with GDPR-compliant data residency settings.\"\n    }\n  ],\n  \"main_risk\": \"Data residency compliance across multi-region cloud services requires strict configuration and audit controls.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16604,"probe_id":5980,"sample":1,"system":"ecommerce","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"headless e-commerce monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta Open Source\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted; strong SSR with Next.js meets SEO needs.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong typing, performance, and JVM ecosystem fit for high throughput.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"Spring\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardises REST APIs and integrates Spring Batch for promotions.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven contract for catalogue, checkout, and fulfilment services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High availability, multi-az EU central regions, enforce GA GDPR.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Microsecond cache for session, inventory counters, latency sensitive.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Same Redis engine for cache consistency with secondary_database.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text catalogue search with EU-only storage and compliance.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable EU buckets; connects to CloudFront for media delivery.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles live stock updates and checkout state with minimal overhead.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency; scalable identity without storing personal data.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Broad region coverage in Frankfurt and Stockholm for EU data.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Self-healing container orchestration tightly tied to AWS EU infra.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data processing; APM, metrics, logs with retention controls.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with Kubernetes runners and reusable workflows.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowplow\",\n      \"provider\": \"Snowplow Analytics\",\n      \"delivery\": \"saas\",\n      \"reason\": \"First-party telemetry compliant with GDPR and PECR.\"\n    }\n  ],\n  \"main_risk\": \"Legal exposure if third-party SaaS fails to enforce EU data residency.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16625,"probe_id":5980,"sample":1,"system":"ecommerce","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"OVHcloud Object Storage + CDN\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast static SPA hosting with EU data residency.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"OpenJDK (Java)\",\n      \"service\": null,\n      \"provider\": \"Eclipse Adoptium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature JVM performance and ecosystem for enterprise e-commerce.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust microservices support and Spring ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, language-agnostic contract for clients and integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable ACID store with EU-managed hosting and backups.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"Altinity.Cloud ClickHouse\",\n      \"provider\": \"Altinity\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-speed analytics for event and conversion queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and counters with EU-managed instances.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event stream for inventory, orders, and analytics.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": \"Meilisearch Cloud\",\n      \"provider\": \"Meilisearch\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast, typo-tolerant product search with EU-hosted offering.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API\",\n      \"service\": \"OVHcloud Object Storage\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU object storage for images, backups, and asset hosting.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak (OpenID Connect)\",\n      \"service\": null,\n      \"provider\": \"Keycloak Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control over identity and EU data residency.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Hetzner Cloud\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective EU compute with managed Kubernetes.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard container orchestration with EU-hosted control plane.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus+Grafana+OpenTelemetry\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-stack metrics, tracing, and dashboards hosted in-cluster.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted runners ensure EU code and artifact residency.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse (events)\",\n      \"service\": \"Altinity.Cloud ClickHouse\",\n      \"provider\": \"Altinity\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast event analytics and funnels with EU hosting.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Seldon Core\",\n      \"service\": null,\n      \"provider\": \"Seldon\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native model serving for personalization and promotions.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity from multiple self-hosted components and cross-provider dependencies impacting reliability and EU compliance.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16613,"probe_id":5980,"sample":1,"system":"ecommerce","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"SPA for catalogue and checkout\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Spring Boot\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Java ecosystem for transaction safety\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID transactions, EU data residency\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"inventory and session caching\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"Elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"catalogue search in EU\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"RabbitMQ\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"order and fulfilment events\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU-hosted identity and consent\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"German provider ensures EU residency\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and tracing on-prem\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"GitLab CI\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU runners and pipelines\"\n  }],\n  \"main_risk\": \"Self-managed EU infrastructure increases operational load and incident response time.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16627,"probe_id":5981,"sample":1,"system":"ecommerce","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices with event-driven inventory and fulfillment\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source, performant SPA for catalogue and checkout flows\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend, open source, native performance\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrent I/O for inventory updates, static binaries, minimal overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Chi\",\n      \"service\": null,\n      \"provider\": \"Go community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP router, composable middleware, open source\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple stateless design suitable for catalogue, inventory, orders\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for orders and inventory, proven at scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": null,\n      \"provider\": \"MongoDB Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible schema for catalogue product variants and promotion rules\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast inventory caching, session state, promotion lookup\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable order and fulfillment event routing, message durability\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text catalogue search with faceting and real-time indexing\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible product images and fulfillment documents, self-hosted\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Identity federation, role-based access for customers and admins\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for microservice scaling and resilience\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native pod orchestration, stateful sets for databases\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Loki, Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF, Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards for operational visibility\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated version control and pipeline automation, open source\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL and Elasticsearch must be scaled carefully; sharding inventory and orders at high transaction rates requires operational expertise.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16679,"probe_id":5981,"sample":1,"system":"ecommerce","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dynamic storefront with catalogue, cart, and checkout.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile shopping experience.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary language for the Django application.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles business logic, promotions, and REST API.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational storage for orders, users, inventory.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session, query, and rate-limit caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware (Broadcom)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async task processing for fulfilment and emails.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text catalogue search and faceted filtering.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for product images and assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket updates for inventory and order status.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OAuth2/OIDC authentication for customers and staff.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration on self-managed VMs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Manages deployment, scaling, and healing of services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Grafana, Loki\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and log aggregation.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab B.V.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated testing and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": \"Matomo (InnoCraft)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly web analytics for store performance.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting every critical component demands high operational maturity and can delay scaling during traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL\"\n}","model_label":"DeepSeek"},{"response_id":16634,"probe_id":5981,"sample":1,"system":"ecommerce","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, excellent concurrency for inventory and checkout operations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, minimal overhead, and high-performance routing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong ACID compliance and transactional reliability necessary for financial ledger and inventory.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency access to product catalogue and session data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput, persistent event streaming for order fulfilment workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable full-text search engine for complex product filtering.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized container orchestration and operational portability across environments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for metric collection and alerting in containerized environments.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust identity and access management supporting OIDC and SAML.\"\n    }\n  ],\n  \"main_risk\": \"Managing self-hosted stateful services like PostgreSQL and Kafka at scale requires significant operational overhead and internal expertise.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16641,"probe_id":5981,"sample":1,"system":"ecommerce","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Industry standard, strong ecosystem.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature JVM ecosystem, high performance.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Extensive modules, enterprise ready.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, well-understood, ubiquitous.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source RDBMS with JSON and ACID.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory with persistence, fast.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Already selected, multi-purpose.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"RabbitMQ\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open protocol, easy to operate.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich full-text search capabilities.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, open-source storage.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured identity and access management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": \"KVM\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature virtualization for self-hosting.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Docker Swarm\",\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight orchestrator, simple setup.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"De facto standard for metrics.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight coupling to repository.\"\n    }\n  ],\n  \"main_risk\": \"Cart and inventory synchronization lag under high traffic.\",\n  \"first_component_to_replace_at_scale\": \"api\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16648,"probe_id":5981,"sample":1,"system":"ecommerce","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"service_oriented\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely-used SPA library with strong e-commerce ecosystem.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"The Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Compiled, fast, and concurrency-friendly for high throughput services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"chi\",\n      \"service\": null,\n      \"provider\": \"Go community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight router and middleware idioms for modular services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST/OpenAPI ensures broad client compatibility and clear contracts.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID relational store for orders, inventory, and transactional consistency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL (read replica)\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Read replicas offload read-heavy catalog and reporting queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency key-value store for sessions, rate limits, and product caches.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature AMQP broker for reliable asynchronous checkout and fulfillment workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and faceted search tailored to product catalogs and promotions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object store for product images and static assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC, SSO, and fine-grained access control for users and services.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard platform for deployment, scaling, and service discovery.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Helm\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Helm manages reproducible Kubernetes application releases and configuration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and alerting for operational visibility and SLAs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (CE)\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated pipelines, runners, and artifacts under team control.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance event analytics for promotions, funnels, and business metrics.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of self-hosting many stateful services risks outages and slower scaling without experienced SREs.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16651,"probe_id":5981,"sample":1,"system":"ecommerce","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn online store with catalogue, inventory, checkout, fulfilment, and promotions.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"renders store ui\"\n  },{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"core services logic\"\n  },{\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"structured backend\"\n  },{\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores all transactional data\"\n  },{\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"inventory and session caching\"\n  },{\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"order and fulfilment events\"\n  },{\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"catalogue search\"\n  },{\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"user identity and access\"\n  },{\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"service deployment and scaling\"\n  }],\n  \"main_risk\": \"operational burden of running and securing many self-hosted services\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16664,"probe_id":5982,"sample":1,"system":"video_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices with managed streaming and AI\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for interactive video publishing UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code reuse from web frontend, single codebase for iOS/Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong ML/transcoding ecosystem, rapid development for media pipelines\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async performance for I/O-heavy uploads and streaming, modern Python standard\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for standard operations, WebSocket for real-time upload/playback events\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for video metadata, proven reliability at scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Cloud Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast session/recommendation caching, pub/sub for transcoding notifications\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Cloud Tasks\",\n      \"service\": \"Cloud Tasks\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable async job processing for transcoding pipeline, built-in retries\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Cloud Search\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast full-text search over videos, tags, and metadata\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable storage for raw uploads and transcoded variants\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket via FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time transcoding progress and playback state updates to clients\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": \"Cloud Identity\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Secure user authentication, integrates with Google accounts\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable compute for variable transcoding load, native orchestration\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, auto-scaling for transcoding workers\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Jaeger + structured logging\",\n      \"service\": \"Cloud Monitoring, Cloud Trace, Cloud Logging\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full observability stack for backend health, transcoding pipeline visibility\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native GitHub integration, sufficient for containerized deployment workflow\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Video-based recommendations using pre-trained models, serverless inference\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for reliable multi-format video transcoding\"\n    }\n  ],\n  \"main_risk\": \"Transcoding bottleneck under peak concurrent uploads; queue saturation or worker starvation could delay video availability.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16411,"probe_id":5982,"sample":1,"system":"video_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for video upload and playback\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for uploading and viewing\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and performance for API and workers\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for REST API\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API for upload, metadata, and playback URLs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational store for user, video metadata, and transactions\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caching, rate limiting, and pub/sub for realtime\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable job queue for transcoding and notification tasks\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and vector similarity for recommendations\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Store raw and transcoded videos, thumbnails, static assets\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live comments, upload progress, and notifications via WebSockets\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed authentication with social logins and JWT tokens\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"AWS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cloud infrastructure for all services\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for backend, workers, realtime\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, APM, and alerting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD pipelines for testing and deploying containers\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Data warehouse for view counts, recommendations training data\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Triton Inference Server\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serve recommendation model with low latency on GPU\"\n    }\n  ],\n  \"main_risk\": \"Transcoding pipeline's scalability and failure handling could cause upload processing delays at peak.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"DeepSeek"},{"response_id":16337,"probe_id":5982,"sample":1,"system":"video_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support for heavy media processing and API throughput.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides extreme performance with low overhead for RESTful video handling.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency for user accounts and video metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency retrieval of session state and trending video metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Industry standard for durable, scalable storage of raw and transcoded video.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples upload services from high-latency video transcoding pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enables fast, full-text search across large video catalogs.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow\",\n      \"service\": \"SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed infrastructure for serving personalized video recommendation models.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration for managing heterogenous service workloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-stack monitoring and alerting for complex distributed system health.\"\n    }\n  ],\n  \"main_risk\": \"The complexity of managing high-volume asynchronous transcoding pipelines can lead to significant processing backlogs.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16338,"probe_id":5982,"sample":1,"system":"video_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first with specialized workloads\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"React\", \"service\": null, \"provider\": \"Meta\", \"delivery\": \"client\", \"reason\": \"Mature web library with vast SSR and SEO tooling support.\"},\n    {\"role\": \"mobile\", \"technology\": \"Swift\", \"service\": null, \"provider\": \"Apple\", \"delivery\": \"client\", \"reason\": \"Native iOS SDK optimal for video playback and asset delivery.\"},\n    {\"role\": \"backend_language\", \"technology\": \"Python\", \"service\": null, \"provider\": \"Python Software Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Rich ML ecosystem and concise video pipeline scripting.\"},\n    {\"role\": \"backend_framework\", \"technology\": \"FastAPI\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Type hints and coroutines simplify async video workflows.\"},\n    {\"role\": \"api\", \"technology\": null, \"service\": null, \"provider\": null, \"delivery\": \"client\", \"reason\": \"GraphQL gateway aggregates video metadata and recommendations.\"},\n    {\"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": \"RDS\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"ACID transactions for metadata with JSONB for flexible video records.\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": \"MemoryDB\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"Sub-millisecond hits for recommendation scores and session state.\"},\n    {\"role\": \"queue\", \"technology\": \"RabbitMQ\", \"service\": null, \"provider\": \"VMware\", \"delivery\": \"self_hosted\", \"reason\": \"Durable message broker for upload transcoding pipeline.\"},\n    {\"role\": \"search\", \"technology\": \"Elasticsearch\", \"service\": \"OpenSearch\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"Full-text video title/description search with fuzzy matching.\"},\n    {\"role\": \"object_storage\", \"technology\": \"S3\", \"service\": \"S3\", \"provider\": \"AWS\", \"delivery\": \"saas\", \"reason\": \"11 nines durability for original and transcoded video assets.\"},\n    {\"role\": \"realtime\", \"technology\": \"Kafka\", \"service\": \"MSK\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"High throughput event stream for watch events and recommendations.\"},\n    {\"role\": \"auth\", \"technology\": \"OAuth2\", \"service\": \"Cognito\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"JWT tokens protect both public uploads and private feeds.\"},\n    {\"role\": \"hosting\", \"technology\": null, \"service\": \"EC2\", \"provider\": \"AWS\", \"delivery\": \"self_hosted\", \"reason\": \"GPU-accelerated instances for H.265 transcode workloads.\"},\n    {\"role\": \"orchestration\", \"technology\": \"Docker\", \"service\": null, \"provider\": \"Docker Inc.\", \"delivery\": \"self_hosted\", \"reason\": \"Portable container images for local dev and cloud deployment.\"},\n    {\"role\": \"observability\", \"technology\": \"Prometheus\", \"service\": \"Managed Prometheus\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"Central metrics with Grafana dashboards for SLA monitoring.\"},\n    {\"role\": \"ci_cd\", \"technology\": null, \"service\": \"CodePipeline\", \"provider\": \"AWS\", \"delivery\": \"saas\", \"reason\": \"Unified pipeline for Docker images and declarative CloudFormation.\"},\n    {\"role\": \"analytics\", \"technology\": null, \"service\": \"BigQuery\", \"provider\": \"Google\", \"delivery\": \"saas\", \"reason\": \"SQL analytics on raw watch events at petabyte scale.\"},\n    {\"role\": \"ml_inference\", \"technology\": \"TensorFlow\", \"service\": \"SageMaker\", \"provider\": \"AWS\", \"delivery\": \"managed\", \"reason\": \"GPU batch inference for personalized recommendations.\"}\n  ],\n  \"main_risk\": \"GPU instance costs can spike ten-fold during transcoding spikes.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16673,"probe_id":5982,"sample":1,"system":"video_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices on Kubernetes with managed cloud services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React (SPA)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast interactive web UI and easy code reuse.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android mobile apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, efficient resource usage.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework for Go microservices.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (HTTP+JSON)\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stable public API, throttling, auth integration, request management.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational consistency for users, metadata, and transactions.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Columnar data warehouse\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Large-scale analytics and reporting for recommendations and metrics.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache (Redis)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session, token and hot metadata caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue (SQS)\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable, durable job delivery for uploads and transcoding pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch / OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Text search and faceted discovery for video metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly durable storage for original and transcoded video assets.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Model serving (TensorFlow/PyTorch)\",\n      \"service\": \"Amazon SageMaker Endpoints\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable hosted endpoints for recommendations and personalization.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": \"AWS Elemental MediaConvert\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed, S3-integrated, scalable transcoding using FFmpeg backends.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"CDN (HTTP edge delivery)\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global low-latency video delivery and caching.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, autoscaling, and workload isolation.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"metrics, logs, traces (Prometheus/Grafana/Jaeger)\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and tracing with alerting and dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with repository and workflow automation.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User pools, tokens, federation, and easy integration with API Gateway.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics (event pipeline)\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User behavior analytics and funnel analysis for product decisions.\"\n    }\n  ],\n  \"main_risk\": \"Transcoding and storage costs and throughput at scale can dominate budget and introduce latency bottlenecks.\",\n  \"first_component_to_replace_at_scale\": \"other (transcoding)\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16349,"probe_id":5982,"sample":1,"system":"video_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard interactive video ui\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high performance upload handling\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"rest\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple service boundaries\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable metadata storage\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"sqs\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"decouples transcoding tasks\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores raw and transcoded video\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stateless user sessions\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"tensorflow\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"powers video recommendations\"\n  }],\n  \"main_risk\": \"Transcoding queue backs up during traffic spikes without autoscaling tuned.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16364,"probe_id":5983,"sample":1,"system":"video_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless monolith with managed services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for video platform UI, static hosting is cheap.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development for two engineers, strong video/ML libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, async native, minimal ops burden for small team.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless design scales easily on free tier compute.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier supports two engineers; branching aids CI/CD workflow.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless Redis, free tier sufficient for metadata/session caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Use same Upstash instance; avoids adding services and cost.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheaper egress than AWS S3, sufficient for startup video platform.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container runtime\",\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier with generous limits, simple deployment for FastAPI app.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git-based CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, integrated with GitHub, no learning curve.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Not needed; use serverless job scheduling via Railway cron + Upstash tasks.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"FFmpeg + local models\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Transcoding via FFmpeg in background jobs; no external ML service cost.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"event logging\",\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers user behavior and video metrics; self-hostable if needed.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless tokens in FastAPI; no OAuth provider cost at this stage.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"structured logging\",\n      \"service\": \"Railway logs + PostgreSQL\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Railway includes log aggregation; store events in PostgreSQL for cheap querying.\"\n    }\n  ],\n  \"main_risk\": \"Single backend instance and no multi-region failover; popular videos cause transcoding bottleneck and potential 503s.\",\n  \"first_component_to_replace_at_scale\": \"hosting (Railway single dyno → Kubernetes cluster or serverless function autoscaling for transcoding jobs)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16445,"probe_id":5983,"sample":1,"system":"video_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Monolith with background job workers\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero-cost hosting with global CDN and git-based deploys\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single language for whole stack, large ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, battle-tested web framework for APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST endpoints for uploads, metadata, playback URLs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Zero-ops, zero-cost, enough for initial user base\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory store for API caching and session data\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bull-based job queue for async video transcoding\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Zero egress fees, low storage cost for video assets\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VPS\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cheap compute with enough CPU for FFmpeg transcoding\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error monitoring with generous free tier\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI/CD for private repositories\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Web Analytics\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free, privacy-first analytics for key metrics\"\n    }\n  ],\n  \"main_risk\": \"Transcoding large videos may saturate the single VPS and degrade API response times.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16369,"probe_id":5983,"sample":1,"system":"video_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless Monolith\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single language across frontend and backend minimizes development cognitive load for two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and low overhead for resource-constrained serverless execution.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless storage scales to zero, keeping costs within the under $200 budget.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees are critical for a video platform to maintain low operational costs.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple recommendation models run within the backend process, avoiding expensive external model hosting.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloudflare Workers\",\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Extremely low cost and global edge distribution for high-performance video metadata and API handling.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"On-demand transcoding using Lambda is cheaper than maintaining dedicated GPU servers for low volume.\"\n    }\n  ],\n  \"main_risk\": \"FFmpeg transcoding costs on AWS Lambda may spike unexpectedly if content upload volume grows rapidly.\",\n  \"first_component_to_replace_at_scale\": \"other\"\n}","model_label":"Gemini (lite)"},{"response_id":16378,"probe_id":5983,"sample":1,"system":"video_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless monolith with edge caching\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"React\", \"service\": \"Vercel\", \"provider\": \"Vercel\", \"delivery\": \"saas\", \"reason\": \"Fast global CDN with free tier.\"},\n    {\"role\": \"backend_language\", \"technology\": \"Python\", \"service\": \"None\", \"provider\": \"None\", \"delivery\": \"self_hosted\", \"reason\": \"Low-cost async runtime with async libraries.\"},\n    {\"role\": \"backend_framework\", \"technology\": \"FastAPI\", \"service\": \"None\", \"provider\": \"None\", \"delivery\": \"self_hosted\", \"reason\": \"Async-ready, batteries-included, tiny footprint.\"},\n    {\"role\": \"api\", \"technology\": \"HTTP\", \"service\": \"FastAPI\", \"provider\": \"None\", \"delivery\": \"self_hosted\", \"reason\": \"Built-in API layer in FastAPI.\"},\n    {\"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": \"Neon\", \"provider\": \"Neon\", \"delivery\": \"saas\", \"reason\": \"Serverless Postgres with generous free tier.\"},\n    {\"role\": \"secondary_database\", \"technology\": \"SQLite\", \"service\": \"None\", \"provider\": \"None\", \"delivery\": \"self_hosted\", \"reason\": \"Embedded, zero config for metadata.\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": \"Upstash Redis\", \"provider\": \"Upstash\", \"delivery\": \"saas\", \"reason\": \"10MB free tier, HTTP API, multi-region.\"},\n    {\"role\": \"queue\", \"technology\": null, \"service\": \"PGMq\", \"provider\": \"Postgres\", \"delivery\": \"self_hosted\", \"reason\": \"Built-in PostgreSQL queue, no extra infra.\"},\n    {\"role\": \"search\", \"technology\": \"SQL\", \"service\": \"PostgreSQL\", \"provider\": \"Neon\", \"delivery\": \"saas\", \"reason\": \"Use full-text search in Neon PG.\"},\n    {\"role\": \"object_storage\", \"technology\": \"S3\", \"service\": \"Scaleway\", \"provider\": \"Scaleway\", \"delivery\": \"saas\", \"reason\": \"1GB free storage and egress.\"},\n    {\"role\": \"realtime\", \"technology\": \"WebSockets\", \"service\": \"FastAPI WebSockets\", \"provider\": \"None\", \"delivery\": \"self_hosted\", \"reason\": \"Built-in low-latency realtime in FastAPI.\"},\n    {\"role\": \"auth\", \"technology\": null, \"service\": \"Clerk\", \"provider\": \"Clerk\", \"delivery\": \"saas\", \"reason\": \"Free tier includes auth primitives.\"},\n    {\"role\": \"hosting\", \"technology\": null, \"service\": \"Fly.io\", \"provider\": \"Fly.io\", \"delivery\": \"managed\", \"reason\": \"Free tier supports single region VM.\"},\n    {\"role\": \"orchestration\", \"technology\": \"Docker\", \"service\": \"Buildpacks\", \"provider\": \"Fly.io\", \"delivery\": \"managed\", \"reason\": \"Dockerfiles built on push by Fly.\"},\n    {\"role\": \"observability\", \"technology\": \"OpenTelemetry\", \"service\": \"Signoz Cloud\", \"provider\": \"Signoz\", \"delivery\": \"saas\", \"reason\": \"Free tier includes 500MB data/month.\"},\n    {\"role\": \"ci_cd\", \"technology\": null, \"service\": \"GitHub Actions\", \"provider\": \"GitHub\", \"delivery\": \"saas\", \"reason\": \"2k minutes/month free tier.\"},\n    {\"role\": \"analytics\", \"technology\": \"SQL metrics\", \"service\": \"PostgreSQL logs\", \"provider\": \"Neon\", \"delivery\": \"saas\", \"reason\": \"Aggregate DB logs for free analytics.\"}\n  ],\n  \"main_risk\": \"Neon and Upstash free tiers may throttle during traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16376,"probe_id":5983,"sample":1,"system":"video_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"server-driven static frontend with worker transcoder\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Static React site served globally, minimal ops and free tier for low traffic.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Familiar, rich ML and FFmpeg ecosystem for two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, async HTTP APIs with small boilerplate and good performance.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (HTTP/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, predictable API design for uploads, playback, and recommendations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Postgres with free tier and auth integration to save ops.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT / OAuth\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Out-of-the-box auth, sessions, and social logins to reduce engineering.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost object storage with free egress to Cloudflare CDN.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis (streams)\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless Redis for job queue with a usable free tier.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"container hosting\",\n      \"service\": \"Render (Web Services & Background Workers)\",\n      \"provider\": \"Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cheap managed containers to run backend and a single FFmpeg worker.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"lightweight Python models (scikit-learn)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple on-process models for recommendations to avoid extra infra.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"HTTP CDN cache\",\n      \"service\": \"Cloudflare CDN\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Edge caching reduces bandwidth and improves playback performance.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard transcoder run on a single managed worker instance.\"\n    }\n  ],\n  \"main_risk\": \"Single FFmpeg worker becomes a throughput and cost bottleneck as video volume grows.\",\n  \"first_component_to_replace_at_scale\": \"other (transcoding: FFmpeg)\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16389,"probe_id":5983,"sample":1,"system":"video_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"single server app\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"SPA for uploads and video playback\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast development with two engineers\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"flask\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"minimal framework for API and jobs\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple relational data for users and videos\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3 compatible\",\n    \"service\": \"spaces\",\n    \"provider\": \"digitalocean\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores video files with low cost\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"queue ffmpeg transcoding jobs\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"vm\",\n    \"service\": \"droplet\",\n    \"provider\": \"digitalocean\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"single cheap server fits entire budget\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"github actions\",\n    \"service\": null,\n    \"provider\": \"github\",\n    \"delivery\": \"saas\",\n    \"reason\": \"automated deploys from repo\"\n  }],\n  \"main_risk\": \"VM becomes single point of failure and scaling bottleneck\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"Grok"},{"response_id":16408,"probe_id":5984,"sample":1,"system":"video_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices on Kubernetes with managed media pipeline\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for video platform UIs with rich interactivity\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase reduces mobile development overhead at scale\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency handling for 100k concurrent users, fast deployment\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance inter-service communication, binary serialization reduces latency\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard client-facing API with HTTP/2 for multiplexing efficiency\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for metadata, user accounts, recommendations; managed scaling\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Cassandra\",\n      \"service\": \"Bigtable\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Time-series data for analytics, playback events; horizontal scalability required\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache, recommendation results, video metadata hotspot mitigation\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Cloud Pub/Sub\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event streaming for transcoding pipeline, analytics, recommendations workflow\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Cloud Search\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Video title/description search; managed scaling handles 10M MAU queries\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Raw uploads, transcoded variants; geo-redundancy, lifecycle policies for cost\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live chat, recommendation updates during playback via stateful backend\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Google Identity Platform\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standards-based, managed token lifecycle, social login integration\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Workload orchestration at scale, auto-scaling for traffic spikes\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native container orchestration, rolling updates, resource scheduling\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Jaeger, ELK Stack\",\n      \"service\": \"Cloud Logging, Cloud Trace, Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified observability stack; managed reduces operator burden for 10M scale\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native Git integration, container builds to GKE, fast feedback loops\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Recommendation model serving with managed scaling, A/B testing infrastructure\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Video view analytics, user behavior cohorts; serverless scales to 10M users\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": \"Transcoder API\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Video transcoding pipeline; managed removes operational complexity, scales elastically\"\n    }\n  ],\n  \"main_risk\": \"Transcoding pipeline latency and cost at 10M MAU if upload spike exceeds queue processing capacity; mitigation requires queue depth monitoring and pre-scaling policies.\",\n  \"first_component_to_replace_at_scale\": \"Cloud Search—move to self-managed Elasticsearch cluster for full query control and cost optimization beyond 10M MAU.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16518,"probe_id":5984,"sample":1,"system":"video_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"","model_label":"DeepSeek"},{"response_id":16410,"probe_id":5984,"sample":1,"system":"video_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and excellent performance for CPU-intensive transcoding and streaming tasks.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides efficient binary serialization and low-latency communication between distributed microservices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency for user records and metadata with proven scalability.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond latency for session management and hot video metadata retrieval.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles high-throughput asynchronous video processing pipelines and recommendation event streaming.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for massive, durable storage of raw and transcoded video assets.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides full-text search capabilities required for video discovery across large datasets.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable serving infrastructure for real-time video recommendation model inference.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Automates horizontal scaling of containerized transcoding nodes and backend services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified platform for monitoring streaming health, latency metrics, and infrastructure utilization.\"\n    }\n  ],\n  \"main_risk\": \"Managing egress bandwidth costs and latency for global video delivery at this scale is expensive.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16415,"probe_id":5984,"sample":1,"system":"video_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Strong ecosystem and developer familiarity\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform consistency with frontend\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency efficiency for uploads/playback\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Fiber\",\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP performance for high throughput\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient internal communication and binary protocol\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for transactions and user data\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session and caching needs\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable with high throughput and managed ops\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"rabbitmq\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, reliable message broker for async tasks\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Text search and full-text analytics at scale\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Durable, scalable binary storage for video files\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Firebase Realtime Database\",\n      \"provider\": \"Google\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Low-latency updates for live interactions\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Firebase Auth\",\n      \"provider\": \"Google\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Scalable, secure identity across clients\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers for scalable backend services\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Automated scaling and service management\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Unified metrics, logs, and alerting across stack\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Integrated CI/CD with managed runners\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Scalable analytics for user and engagement data\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Python\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed ML pipelines for video recommendations\"\n    }\n  ],\n  \"main_risk\": \"Video transcoding cost and latency may bottleneck at scale.\",\n  \"first_component_to_replace_at_scale\": \"video transcoding pipeline\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16421,"probe_id":5984,"sample":1,"system":"video_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices_kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Amazon S3 + CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Static SPA hosted on CDN for fast global UI and asset delivery.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android with native video capabilities.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency and low-latency request handling for streaming APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance HTTP framework with middleware support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable endpoints and broad client compatibility.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora (PostgreSQL-compatible)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional metadata with high availability and read replica support.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Massively scalable user history and counters with predictable latency.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for sessions, tokens, and hot metadata.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput event backbone for uploads, processing, and analytics.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast text and metadata search with relevance tuning capabilities.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost-effective storage for originals and transcoded video.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable low-latency signaling for chat, presence, and notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable user pools, social login, and token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud CDN\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global CDN for video segments, manifests, and cached API edges.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with autoscaling and deployment primitives.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Amazon Managed Service for Prometheus and Amazon Managed Grafana\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, dashboards, and alerting with low operational overhead.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Git-integrated CI/CD with scalable runners and secrets management.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Large-scale analytics and BI for user behavior and A/B testing.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"Amazon SageMaker (real-time endpoints)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time recommendation serving with autoscaling endpoints.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": \"AWS Elemental MediaConvert\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, automated transcoding pipeline and format conversions.\"\n    }\n  ],\n  \"main_risk\": \"CDN/origin pressure and transcoding bottlenecks during massive concurrent view spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16428,"probe_id":5984,"sample":1,"system":"video_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"aws microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard web UI library\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high performance for media ops\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"RDS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID transactions at scale\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"ElastiCache\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"fast session and metadata access\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": null,\n    \"service\": \"SQS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"decouples upload and transcode\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": null,\n    \"service\": \"S3\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores raw and transcoded video\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": null,\n    \"service\": \"SageMaker\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"serves personalized recommendations\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"Cognito\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user identity and tokens\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": \"EKS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"container scheduling at scale\"\n  }],\n  \"main_risk\": \"AWS vendor lock-in limits portability.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16440,"probe_id":5985,"sample":1,"system":"video_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices with event-driven transcoding\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for video platform UI with rich interactions\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with frontend team; meets EU data residency via app logic\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent ML/transcoding ecosystem; rapid iteration for recommendations\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-first; handles concurrent uploads and streaming queries efficiently\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless design simplifies scaling; familiar for client integration\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"CloudSQL EU\",\n      \"provider\": \"Scaleway or Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for metadata; EU data residency guaranteed\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session state and user interaction counters for recommendations\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Combined with secondary_database; API response caching for video metadata\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Decouples uploads from transcoding workers; event log for recommendations\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search on video titles and descriptions; EU data residency\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU storage; native S3 API simplifies transcoding pipeline integration\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Upload progress and live recommendation updates via FastAPI async handlers\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed avoids third-party auth provider data flows outside EU\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Hetzner Cloud\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-based bare metal; full control over data residency and compliance\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scales backend, transcoding workers, and stateless API replicas elastically\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + ELK\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack; EU data residency; monitors transcoding queue health\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option; native Kubernetes integration; runners in Hetzner\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Lite + custom Python models\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Recommends videos based on user interactions; runs in-cluster on CPU/GPU\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Transcoding orchestrated via queue; workers in Kubernetes DaemonSet\"\n    }\n  ],\n  \"main_risk\": \"Transcoding job queue saturation during peak uploads; mitigation: queue autoscaling and priority workload scheduling.\",\n  \"first_component_to_replace_at_scale\": \"self_hosted Kubernetes at Hetzner; migrate to managed Kubernetes on EU provider (Scaleway K8S) when ops overhead exceeds benefit\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16514,"probe_id":5985,"sample":1,"system":"video_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Custom SPA\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-based CDN delivery of web application\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Custom mobile app\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform code sharing\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Go (Gin framework)\",\n      \"service\": \"Video API\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance REST/GraphQL API\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"saas\",\n      \"reason\": \"ACID metadata, EU hosted\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Session and data cache, low latency\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable job queue for transcoding\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-text video search, EU region\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Video asset storage, EU data centers\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Ory Kratos/Hydra\",\n      \"service\": \"Self-hosted auth\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Identity and access, EU data control\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes in EU, control plane\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": \"Self-hosted stack\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Logs, metrics, traces EU-hosted\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com (EU region)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline in EU, GitOps\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog (self-hosted)\",\n      \"service\": \"PostHog\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics, GDPR compliant\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch / TorchServe\",\n      \"service\": \"Self-hosted model serving\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Recommendation model, EU data locality\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": \"Transcoding Worker\",\n      \"provider\": \"self-hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async video transcoding pipeline\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"HTTP CDN\",\n      \"service\": \"Scaleway CDN\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global video delivery, EU origin\"\n    }\n  ],\n  \"main_risk\": \"EU-only infrastructure may increase latency for non-European users and limit CDN edge diversity.\",\n  \"first_component_to_replace_at_scale\": \"CDN\"\n}","model_label":"DeepSeek"},{"response_id":16442,"probe_id":5985,"sample":1,"system":"video_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for high-performance interactive web interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent concurrency handling for high-throughput video metadata and streaming control.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency for user data with EU-based data residency options.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-durability storage for raw and transcoded video files in Frankfurt region.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable framework for training and serving video recommendation models.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration to manage complex transcoding worker scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Proven industry standard for monitoring distributed system latency and throughput.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and complies with GDPR via EU-based data residency.\"\n    }\n  ],\n  \"main_risk\": \"High egress costs and latency sensitivity during heavy concurrent video transcoding tasks.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"Gemini (lite)"},{"response_id":16448,"probe_id":5985,"sample":1,"system":"video_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Wide ecosystem and strong community support.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Not specified; omitted for brevity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performance and minimal runtime overhead.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Github\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance for microservices API design.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Apigee\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed API gateway with EU sovereignty.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance and strong extensibility.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency in-memory caching and pub/sub.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Redis with EU data residency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"RabbitMQ Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature, reliable message broker with EU hosting.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Powerful full-text search with EU regions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3 Compatible\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"S3-compatible with full EU data sovereignty.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably Ltd\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed real-time messaging with EU data centers.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1 / OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control and data resides in EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Compute Engine\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based VMs with strong SLAs and compliance.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Mature Kubernetes service with EU nodes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus + Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Efficient EU-hosted monitoring with long-term storage.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"YAML\",\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native integration with GKE and EU data handling.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Google Analytics 4\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive analytics with EU data processing options.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Python\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed ML with EU endpoint deployment.\"\n    }\n  ],\n  \"main_risk\": \"Compliance risk if third-party SaaS changes data residency terms.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16459,"probe_id":5985,"sample":1,"system":"video_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices_kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Proven SPA library for complex UIs and HLS/DASH player integration.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android reduces development and maintenance effort.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low latency for media metadata and streaming control.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight Go web framework with good performance and small footprint.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (JSON/HTTP)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable API for playback and integration with CDNs and SDKs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational metadata store with EU-hosted managed offering.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud (EU)\",\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput analytics and playback event aggregation in EU region.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session and CDN-metadata caching with EU data residency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event streaming for ingestion, transcoding jobs, and ML pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted EU deployment avoids vendor lock and meets residency requirements.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based scalable storage for video segments and long-term assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect (Keycloak)\",\n      \"service\": null,\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured identity, EU-hostable, avoids third-party personal data export.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud infrastructure\",\n      \"service\": \"Scaleway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud provider with EU data centers and integrated services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed K8s simplifies deployments, scaling, and EU control plane locality.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus & Grafana\",\n      \"service\": null,\n      \"provider\": \"Prometheus/Grafana community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source monitoring and dashboards deployable in EU for full control.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com (EU region)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with ability to host runners and data in EU.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": \"Matomo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-first analytics that can be hosted within EU for compliance.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Serving\",\n      \"service\": null,\n      \"provider\": \"TensorFlow\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient model serving for recommendations with EU-hosted inference nodes.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg-based video transcoding\",\n      \"service\": \"Bitmovin Encoding\",\n      \"provider\": \"Bitmovin\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based managed transcoding service for wide codec/format coverage and scaling.\"\n    }\n  ],\n  \"main_risk\": \"Transcoding and delivery costs plus vendor constraints may escalate rapidly as video volume and bitrate grow.\",\n  \"first_component_to_replace_at_scale\": \"transcoding\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16462,"probe_id":5985,"sample":1,"system":"video_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven pipeline\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard browser ui for uploads and playback\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"strong ecosystem for media and ml\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async performance for api endpoints\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"managed postgresql\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu data residency for user metadata\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"managed redis\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"low-latency session and rec cache\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": \"managed rabbitmq\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable transcoding job dispatch\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"object storage\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu-hosted video assets\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"pytorch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"recommendation model serving\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"eu user identity and consent control\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"kubernetes\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu compute orchestration\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics for pipeline health\"\n  }],\n  \"main_risk\": \"Scaleway object storage throughput limits under viral traffic.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"Grok"},{"response_id":16473,"probe_id":5986,"sample":1,"system":"video_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices with async transcoding\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source, performant video player integration, component reusability\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Code sharing with web, native performance, open source ecosystem\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ML ecosystem for recommendations, FFmpeg integration, rapid development\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async I/O, type hints, low latency API, modern Python standard\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for CRUD, WebSocket for live playback metadata and progress sync\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions, relational schema, proven reliability, JSON support\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session state, real-time notification delivery, watch history caching\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Recommendation result caching, metadata caching, reduces database load\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Celery Project and RabbitMQ Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Transcoding job scheduling, async processing, reliable task execution\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Video title/description full-text search, aggregations for trending videos\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, self-hosted video and thumbnail storage, no vendor lock-in\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live view counts, playback sync, embedded in FastAPI framework\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless token auth, supports mobile and web, standard security\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, auto-scaling for transcoding workers\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pod management, service discovery, persistent volumes for databases\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana with Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF and Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, log aggregation, fully open source monitoring\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container builds, test automation, deployment to Kubernetes cluster\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"scikit-learn with collaborative filtering\",\n      \"service\": null,\n      \"provider\": \"scikit-learn community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Video recommendations from watch history, lightweight, Python integration\"\n    }\n  ],\n  \"main_risk\": \"Transcoding pipeline bottleneck during peak uploads; requires careful Kubernetes worker scaling and job prioritization.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch for dedicated search cluster or federated architecture as query volume exceeds single-node capacity\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16554,"probe_id":5986,"sample":1,"system":"video_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Component-based UI for video upload and playback experience.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native mobile apps for video management.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary language for APIs, async tasks, and data processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async Python web framework for high-throughput REST endpoints.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Nginx/OpenResty\",\n      \"service\": \"Kong\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API gateway providing routing, rate limiting, and authentication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for user accounts, video metadata, and sessions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory cache for session data and precomputed recommendation results.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"AMQP\",\n      \"service\": \"RabbitMQ\",\n      \"provider\": \"VMware/Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Message broker for transcoding jobs, recommendation event processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic N.V.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search across video titles, descriptions, and transcripts.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores raw uploads, transcoded outputs, and thumbnails.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Socket.IO\",\n      \"provider\": \"Socket.IO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time updates for comments, live reactions, and playback events.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2/OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Centralized identity and access management with social login.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for all backend services and workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and centralized logging for system health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated builds, tests, and deployments with container registry.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar database for real-time view count and engagement analytics.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"TorchServe\",\n      \"provider\": \"PyTorch Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serves recommendation models for personalized video feeds.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": \"Celery worker with FFmpeg\",\n      \"provider\": \"FFmpeg project / Celery\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background workers that transcode uploaded videos into multiple resolutions.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting object storage may cause latency and throughput bottlenecks under global playback demand.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"DeepSeek"},{"response_id":16479,"probe_id":5986,"sample":1,"system":"video_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support is essential for streaming and media processing.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary communication for high-throughput video metadata.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust relational storage for user accounts and metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides S3-compatible, high-performance storage for video files.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized engine for production-grade recommendation models.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ensures reliable scaling for compute-heavy transcoding workloads.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard library for video transcoding and processing.\"\n    }\n  ],\n  \"main_risk\": \"Managing self-hosted transcoding pipelines at scale creates significant operational complexity for infrastructure teams.\",\n  \"first_component_to_replace_at_scale\": \"other\"\n}","model_label":"Gemini (lite)"},{"response_id":16487,"probe_id":5986,"sample":1,"system":"video_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Self-hosted monolith->microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"Vue.js\",\n      \"provider\": \"community\",\n      \"delivery\": \"client\",\n      \"reason\": \"Progressive framework for responsive SPAs\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"PSF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for media workflows\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included for authoring pipelines\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard interface for frontend/backend\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for metadata\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pub/sub for realtime features\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Swift\",\n      \"service\": \"OpenStack Swift\",\n      \"provider\": \"OpenStack Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable binary storage with API\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"RabbitMQ\",\n      \"provider\": \"RabbitMQ Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable task queue for transcoding\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative scaling for components\"\n    },\n    {\n      \"role\": \"transcoding\",\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"FFmpeg\",\n      \"provider\": \"FFmpeg Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard video encoder\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source IAM with OAuth2/OIDC\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Bare-metal servers\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full hardware control for cost/latency\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Lucene\",\n      \"service\": \"Elasticsearch\",\n      \"provider\": \"Elastic NV\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for recommendations\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Python\",\n      \"service\": \"DVC + MLflow\",\n      \"provider\": \"Iterative/Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open MLOps for recommender models\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus + Grafana\",\n      \"provider\": \"CNCF/Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and dashboards we own\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitLab CI\",\n      \"provider\": \"GitLab Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single devops stack for build/test/deploy\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting transcoding/storage clusters may hit hardware limits under heavy load.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16486,"probe_id":5986,"sample":1,"system":"video_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices + k8s\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React (Next.js)\",\n      \"service\": null,\n      \"provider\": \"Vercel (Next.js project)\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast SSR/static export and broad ecosystem for web playback UI.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single cross-platform codebase for iOS and Android apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, and small runtime for media services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework idiomatic in Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable, and well-supported for clients and gateways.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational storage for metadata and transactional consistency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance analytics and event aggregation for usage metrics.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency object metadata and session caching for playback performance.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming for transcoding jobs and activity pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and faceted search for discoverability and recommendations indexing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API (object storage)\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, high-performance self-hosted object store for video files.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"NATS.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight pub/sub for notifications and presence with low operational cost.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source OIDC/OAuth2 identity provider with RBAC and SSO support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Bare metal / Linux servers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted physical or VM infrastructure under full operational control.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, autoscaling, and service management for microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana/Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and log aggregation for operational visibility.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (self-hosted)\",\n      \"service\": null,\n      \"provider\": \"GitLab Community Edition\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD, runner management, and container registry self-hosted.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Superset\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ad-hoc dashboards and exploration over ClickHouse and Postgres.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"BentoML + ONNX Runtime\",\n      \"service\": null,\n      \"provider\": \"BentoML / ONNX\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serve recommendation models in containers with portable ONNX runtimes.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FFmpeg (transcoder and packager)\",\n      \"service\": null,\n      \"provider\": \"FFmpeg project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven open-source transcoding and HLS/DASH packaging binary for video pipelines.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted transcoding and object storage will dominate operational complexity and cost at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16494,"probe_id":5986,"sample":1,"system":"video_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA video publishing platform with uploads, transcoding, playback, and recommendations.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven services\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Browser UI for upload and video playback\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Fast concurrent upload and stream handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID store for users metadata videos\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Session and view count caching\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"RabbitMQ\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Async job dispatch for transcoding\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3 API\",\n    \"service\": \"MinIO\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Store raw and transcoded video files\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"TensorFlow Serving\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Self-hosted recommendation model serving\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"OAuth2\",\n    \"service\": \"Keycloak\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Self-hosted user auth and sessions\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": null,\n    \"provider\": \"CNCF\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Deploy and scale all workloads\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus\",\n    \"service\": null,\n    \"provider\": \"CNCF\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Metrics collection for all services\"\n  }],\n  \"main_risk\": \"Heavy operational burden of managing self-hosted storage compute and transcoding at scale\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"Grok"},{"response_id":16511,"probe_id":5987,"sample":1,"system":"document_search","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices with async indexing\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for document search UI with rich interactions\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Optimal for NLP, semantic embeddings, and data processing pipelines\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-native, high performance, excellent for concurrent search and ingestion\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"RESTful endpoints for search, ingestion, and permission queries\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for permissions and document metadata; supports full-text search\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage, permission cache, search result caching for frequent queries\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples document ingestion from indexing; enables replay and scaling\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text and vector search; integrates permission filtering via queries\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable storage for original documents; supports versioning and lifecycle policies\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"sentence-transformers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight embedding model for semantic search; runs in backend service\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Delegated user authentication; permissions stored in PostgreSQL\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for stateless backend, workers, and embedding services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and ELK\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics for search latency; logs for ingestion tracking and debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated testing, container builds, and deployment to Kubernetes\"\n    }\n  ],\n  \"main_risk\": \"Semantic search quality degrades if embedding model lacks domain-specific training; consider fine-tuning or reranking.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch (migrate to Pinecone or Weaviate cloud for vector-only workloads at 100M+ documents)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16582,"probe_id":5987,"sample":1,"system":"document_search","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich single-page app for search UI, fast iteration with large ecosystem.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong ML/LLM library support for semantic search and rapid prototyping.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Encode OSS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async Python, automatic OpenAPI docs, high performance for I/O bound APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"API Gateway\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed throttling, auth integration, and request routing to backend services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores user accounts, document metadata, and permission mappings reliably.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache, frequent query caching, and low-latency permission lookups.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"AWS MSK\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable ingestion pipeline decoupling document upload from indexing for backpressure.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified full-text and k-NN vector search with document-level security support.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable storage for raw uploaded documents and backup of search indices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0/OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pluggable authentication, MFA, and token management without building it.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon Web Services\",\n      \"service\": null,\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Single cloud provider for all managed services, reducing operational overhead.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker\",\n      \"service\": \"Amazon ECS (Fargate)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container orchestration to run backend workers and API with auto-scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog Agent\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, APM, custom metrics for ingestion pipeline and search latency.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with source code, automated testing, and container image deployments.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics for search query patterns and feature adoption without extra infra.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"sentence-transformers\",\n      \"service\": \"Hugging Face Inference Endpoints\",\n      \"provider\": \"Hugging Face\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless embedding generation for semantic search at ingestion and query time.\"\n    }\n  ],\n  \"main_risk\": \"Latency of real-time embedding inference may degrade ingestion throughput under high document volume.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16515,"probe_id":5987,"sample":1,"system":"document_search","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high concurrency and performance for indexing and search request processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides a high-performance, lightweight foundation for RESTful APIs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Ensures transactional integrity for document metadata and user permissions.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Supports both full-text capabilities and vector search required for semantic queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Ideal for durable storage of unstructured source document files.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Efficiently serves embedding models for semantic search vector generation.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security compliance requirements.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides scalable, resilient orchestration for microservices and search workers.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles high-throughput ingestion streams for document indexing tasks.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes during high-volume document indexing may impact real-time semantic search performance.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16521,"probe_id":5987,"sample":1,"system":"document_search","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith_first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature react libraries for document search UX\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enterprise-grade, strong JVM tooling and ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for Java services with mature patterns\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Established standard for document search APIs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong full-text and JSONB support for hybrid workloads\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Neon\",\n      \"service\": null,\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless Postgres with branching for dev/test\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High throughput, low latency cache for search results\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed, scales with ingestion load\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"pgvector\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Embeds hybrid search (boolean + semantic) in core stack\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, cost-effective storage for documents\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles identity, MFA and fine-grained document permissions\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with CPU/memory scaling\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Step Functions\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless workflows for ingestion and ETL pipelines\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and traces for JVM + infra\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in security scanning and matrix builds\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Analyze search metrics, error logs, UX events\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": null,\n      \"service\": \"Bedrock\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless embedding generation for unstructured docs\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in with multiple AWS native services increasing migration cost.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16526,"probe_id":5987,"sample":1,"system":"document_search","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices-kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast componentized UI with wide ecosystem and REST integration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, and small binaries for production services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework idiomatic for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, widely supported contract for clients and integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional metadata and permissions with ACID guarantees and mature tooling.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for auth tokens, query results, and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue (SQS)\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable ingestion and background-job decoupling.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (object storage)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for raw documents and extracted assets.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch (inverted index with dense vector support)\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified BM25 full-text and dense-vector semantics in a managed cluster.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Transformer embedding model (dense vectors)\",\n      \"service\": \"OpenAI Embeddings API\",\n      \"provider\": \"OpenAI\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed high-quality embeddings for semantic search and retrieval.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Flexible identity, RBAC, and federated login with minimal ops.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker containers\",\n      \"service\": \"Amazon EKS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container execution to reduce node management overhead.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard orchestration for microservices, autoscaling, and deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Distributed traces, metrics, and logs centralised with OpenTelemetry instrumentation.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD (GitHub Actions)\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipelines for build, test, and deploy with repository hosting.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Event analytics\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product usage and funnel analytics with privacy-friendly hosting.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on managed Elastic and OpenAI increases cost and migration complexity as usage grows.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16535,"probe_id":5987,"sample":1,"system":"document_search","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"SPA for search UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ingestion and orchestration logic\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"FastAPI\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async API endpoints\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"RDS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"metadata and permissions storage\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"SQS\",\n    \"service\": null,\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"decouple ingestion pipeline\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"Elasticsearch\",\n    \"service\": \"Elastic Cloud\",\n    \"provider\": \"Elastic\",\n    \"delivery\": \"managed\",\n    \"reason\": \"full-text plus vector search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3\",\n    \"service\": null,\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"store source documents\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"OAuth2\",\n    \"service\": \"Auth0\",\n    \"provider\": \"Auth0\",\n    \"delivery\": \"saas\",\n    \"reason\": \"user and permission management\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": \"EKS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"scale services reliably\"\n  }],\n  \"main_risk\": \"Permission changes may lag in search index causing leaks\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16544,"probe_id":5988,"sample":1,"system":"document_search","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless_search_platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Low operational overhead, static hosting on object storage\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast ML/NLP integration, rich search libraries, two-engineer team familiarity\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal framework overhead, async native, automatic API documentation\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, stateless, cacheable, no framework complexity\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"PostgreSQL\",\n      \"provider\": \"Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier supports permissions, metadata, JSONB for documents\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight full-text and semantic search, single-file deployment, minimal resources\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"sentence-transformers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Embedding generation local-only, no API costs, runs on minimal CPU/RAM\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pay-per-use, free tier covers initial ingestion volume\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, document-level permission enforcement in application logic\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VPS\",\n      \"service\": \"VPS\",\n      \"provider\": \"Linode\",\n      \"delivery\": \"managed\",\n      \"reason\": \"$5/month baseline, sufficient for FastAPI + Meilisearch, under budget\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier, built-in VCS, minimal configuration for Python deployment\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"structured logging\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Application-level JSON logs to stdout, sufficient for two-engineer team\"\n    }\n  ],\n  \"main_risk\": \"Single VPS failure causes total downtime; recommend backup strategy after MVP validation.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16618,"probe_id":5988,"sample":1,"system":"document_search","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Backend-as-a-service with lightweight ML worker\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"client\",\n      \"reason\": \"Free static hosting with continuous deployment from Git.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ecosystem for document processing and ML libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async web framework suitable for ingestion endpoints.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed auth with roles, row-level security, and generous free tier.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides full-text search and pgvector extension within free tier.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Document uploads with built-in access controls and free tier.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"sentence-transformers (ONNX runtime)\",\n      \"service\": null,\n      \"provider\": \"Hugging Face / individual models\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted embedding generation keeps variable costs at zero.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Fly.io\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Runs the ingestion/embedding worker within free allowance.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error tracking with free developer tier.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free build minutes for public and private repositories.\"\n    }\n  ],\n  \"main_risk\": \"Supabase free tier database size or egress limits may force an early upgrade, but remains within budget.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16550,"probe_id":5988,"sample":1,"system":"document_search","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless monolith\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Dominant ecosystem for NLP, semantic embedding generation, and rapid development speed.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"High performance with built-in async support for concurrent I/O-bound search tasks.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Supports relational data, JSONB, and vector extensions via pgvector for semantic search.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Consolidates full-text and vector search within one database to minimize costs and complexity.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees significantly reduce costs for document retrieval at scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides a robust, free-tier identity management solution for small teams.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Serverless Functions\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Eliminates infrastructure management and scales to zero for cost efficiency.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Sentence-Transformers\",\n      \"service\": \"Hugging Face Inference API\",\n      \"provider\": \"Hugging Face\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cost-effective managed embeddings without maintaining dedicated GPU infrastructure.\"\n    }\n  ],\n  \"main_risk\": \"High search latency if the vector index in PostgreSQL exceeds memory and triggers disk I/O.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16559,"probe_id":5988,"sample":1,"system":"document_search","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless document search\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Ecma\",\n      \"delivery\": \"client\",\n      \"reason\": \"strong TypeScript ecosystem and minimal ops overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"client\",\n      \"reason\": \"lightweight, high-performance Node.js backend with low boilerplate\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"serverless Postgres with branching, low cost and full-text search\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"pgvector\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"integrated vector search within Postgres, no separate cluster\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"serverless Redis at ~$3 per month for ephemeral caching\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"S3-compatible, zero egress fees, $5/TB storage included\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"drop-in auth with magic links, <$20/month at launch scale\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"simpler than GraphQL for search product scope\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"global edge network, generous free tier and $5/app/month\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"built-in, generous free minutes and one-step deploy\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"standardized traces with minimal overhead and free tools\"\n    }\n  ],\n  \"main_risk\": \"pgvector performance degrades when vector DB grows beyond 500 k vectors.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16560,"probe_id":5988,"sample":1,"system":"document_search","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"server-driven SPA with managed Postgres+pgvector\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free static hosting and easy CI/CD for single-page apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development and strong ML and web ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async APIs and automatic OpenAPI docs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple interoperable API for web and clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL (pgvector + tsvector)\",\n      \"service\": \"Supabase (Postgres)\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Supports full-text and vector search in one managed DB.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text + pgvector\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified semantic and full-text search without extra infra.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store documents alongside DB with integrated access control.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / JWT\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed user, session, and ACLs to minimize engineering work.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"virtual machine\",\n      \"service\": \"Hetzner Cloud (small droplet)\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Very low-cost VM to run backend and local embedding worker.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple process management suitable for two engineers.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"sentence-transformers (all-MiniLM)\",\n      \"service\": null,\n      \"provider\": \"Hugging Face\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Small CPU model for local embeddings to avoid API costs.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis (background work queues)\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless Redis for reliable background ingestion and low cost.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ephemeral caching and rate-limiting using same serverless Redis.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI for small teams and integrated deploy workflows.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error tracking with a free tier to catch production issues.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Google Analytics (GA4)\",\n      \"service\": \"Google Analytics\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free frontend analytics for usage and funnel analysis.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted CPU embeddings may become a throughput and latency bottleneck as document volume grows.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16567,"probe_id":5988,"sample":1,"system":"document_search","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"managed serverless postgres\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"next\",\n    \"service\": \"vercel\",\n    \"provider\": \"vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"zero-ops hosting under budget\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"strong ecosystem for embeddings\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async, minimal boilerplate\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"auth storage vector included\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"supabase auth\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"row-level permissions built-in\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"pgvector\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"full-text and semantic in one db\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"supabase storage\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"documents and cheap\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"openai embeddings\",\n    \"service\": \"openai\",\n    \"provider\": \"openai\",\n    \"delivery\": \"saas\",\n    \"reason\": \"no self-hosted gpu cost\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"vercel functions\",\n    \"service\": \"vercel\",\n    \"provider\": \"vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"scale to zero free tier\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"github actions\",\n    \"service\": null,\n    \"provider\": \"github\",\n    \"delivery\": \"saas\",\n    \"reason\": \"free for public private repos\"\n  }],\n  \"main_risk\": \"Supabase per-seat and egress fees grow past $200\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16581,"probe_id":5989,"sample":1,"system":"document_search","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed search platform with semantic capabilities\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI for search and document exploration at scale\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android with native performance\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, fast compilation, excellent for distributed systems\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient service-to-service communication with streaming support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard client API for search, ingestion, and permission queries\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for permissions and metadata at 10M MAU scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Cassandra\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Distributed log storage for document ingestion and audit trails\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond permission checks and search result caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable document ingestion pipeline with replay capability\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search at scale with built-in security and relevance ranking\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"ONNX Runtime\",\n      \"service\": null,\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient semantic embedding generation integrated with ingestion\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable document storage with permission enforcement via signed URLs\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized authentication with integration to permission backend\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling stateless services across 100k concurrent users\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Service deployment, scaling, and rolling updates at production scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and distributed tracing for latency-sensitive search operations\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment with tight VCS integration\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast analytical queries on search events and user behavior\"\n    }\n  ],\n  \"main_risk\": \"Elasticsearch cluster scaling and rebalancing under peak concurrent load with permission-aware query filtering may become bottleneck.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16657,"probe_id":5989,"sample":1,"system":"document_search","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for document search and management.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for iOS and Android.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Eclipse Adoptium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput services with mature concurrency support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reactive microservices with production-grade integrations.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": \"Kong Gateway\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rate limiting, auth, and routing for API traffic.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores users, permissions, document metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, query cache, rate-limit counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event stream for ingestion pipeline.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-text and kNN vector search for semantic queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores raw documents and binary assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable identity and fine-grained access tokens.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon Web Services\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global infrastructure with low-latency availability zones.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with horizontal auto-scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and APM.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deployment to Kubernetes.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics for search behaviour insights.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"TorchServe\",\n      \"provider\": \"PyTorch Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency transformer embedding generation.\"\n    }\n  ],\n  \"main_risk\": \"Balancing relevance tuning and latency under high concurrent semantic search load across ten million users.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"DeepSeek"},{"response_id":16588,"probe_id":5989,"sample":1,"system":"document_search","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"High concurrency support and excellent performance for I/O-bound search tasks.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Efficient binary serialization for high-volume internal communication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust transactional integrity for document metadata and permissions.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable distributed full-text and vector search indices.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, highly available storage for raw document binaries.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust serving infrastructure for semantic embedding generation.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration at extreme scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity lifecycle and compliance requirements.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency retrieval of frequently accessed search results and permission masks.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes during high-concurrency re-indexing of documents across semantic clusters.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16594,"probe_id":5989,"sample":1,"system":"document_search","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Strong ecosystem for SPAs and SSR\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ML/NLP libraries and strong perf per watt\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included for auth, permissions and admin\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable contract for web and mobile clients\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Trusted ACID for permissions with JSONB for metadata\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond metadata and rate limiting cache\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Transparent cache invalidation and streams\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature full-text and BM25 semantic hybrid search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, cheap, and globally consistent storage\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple FIFO durable queue for background ingestion\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Multi-tenant auth provider with fine-grained permissions\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": null,\n      \"provider\": \"PyTorch Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant framework for custom vector embeddings\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Broad instance types and datacenter proximity for S3\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"De-facto standard for scaling stateless workloads\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, traces, logs and synthetic monitoring\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake Computing\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SQL-first data warehouse for ad-hoc analysis\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with repositories and at-scale runners\"\n    }\n  ],\n  \"main_risk\": \"Elasticsearch scaling at >100k concurrent search requests may require aggressive sharding and thread tuning.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16607,"probe_id":5989,"sample":1,"system":"document_search","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted SPA framework with rich ecosystem and high client performance.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android speeds development and feature parity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low-latency runtime for large-scale API traffic.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework in Go with middleware ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (HTTP/JSON)\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized REST APIs with managed request routing, rate limiting, and auth integration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational ACID store for metadata and complex permission queries at scale.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"NoSQL key-value\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Single-digit-millisecond lookups for permission checks and high-throughput counters.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for session state, hot results, and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"streaming data (Kinesis)\",\n      \"service\": \"Amazon Kinesis Data Streams\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable ingestion pipeline and fan-out for high-volume document processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch fork) with k-NN\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified full-text and vector search with managed scaling and snapshotting.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (object storage)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost-efficient document blob storage with lifecycle and versioning.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scales to millions of users and integrates with AWS services and IAM.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud provider (AWS)\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global availability zones and integrated managed services across stack.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with autoscaling and ecosystem support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"metrics/logs/tracing\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated metrics, traces, and logs with alerting and dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline-as-code, wide community actions, and secrets integration with AWS.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"data warehouse\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast analytical queries on usage and ingestion telemetry at petabyte scale.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Transformers (sentence-transformers)\",\n      \"service\": \"Amazon SageMaker Endpoints\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed GPU-backed endpoints for embedding generation with autoscaling.\"\n    }\n  ],\n  \"main_risk\": \"Embedding generation and vector search scaling cause latency and cost spikes, affecting search responsiveness and operational expense.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16603,"probe_id":5989,"sample":1,"system":"document_search","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard SPA for search UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high throughput for 100k concurrent\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"echo\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"minimalist Go HTTP router\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID for permissions metadata\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"fast permission and result caching\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": \"msk\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable document ingestion pipeline\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": \"opensearch\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"native full-text plus vector search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"s3\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"store raw documents at scale\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"oauth\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"managed user identity and permissions\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"eks\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"scale services to 100k concurrent\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics for all components\"\n  }],\n  \"main_risk\": \"search index lag during bulk ingestion spikes\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Grok"},{"response_id":16617,"probe_id":5990,"sample":1,"system":"document_search","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices with semantic search\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard SPA framework for document search UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent ML/NLP ecosystem for semantic search pipelines\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async framework, native async support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for document and search APIs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted managed PostgreSQL for documents, permissions, metadata\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search with vector support for semantic queries\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache and permission lookups, EU-hosted\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async document ingestion and indexing pipeline\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": null,\n      \"provider\": \"Scaleway or Contabo\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based object storage for document blobs, metadata retention\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enterprise permission model for document access control\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Sentence Transformers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight semantic embedding model, runs on-premises\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU data center deployment, full compliance control\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency option, integrated source control\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"ELK Stack\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Logs, metrics, traces within EU infrastructure\"\n    }\n  ],\n  \"main_risk\": \"Semantic model inference latency at scale requires GPU resources or result caching strategy.\",\n  \"first_component_to_replace_at_scale\": \"Sentence Transformers inference—migrate to dedicated model serving platform with batching\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16678,"probe_id":5990,"sample":1,"system":"document_search","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page application for the search UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary language for ingestion pipeline and API\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async web framework for REST API and document ingestion\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Scaleway Managed Database for PostgreSQL\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores user accounts, document metadata, ACLs, all EU-resident\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scaleway Managed Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"API response caching and session storage, EU-based\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": \"Scaleway Managed Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous document ingestion jobs via the same Redis cluster\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Algolia\",\n      \"service\": \"Algolia\",\n      \"provider\": \"Algolia\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full-text and neural semantic search, EU data centers, French provider\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store raw uploaded documents before processing, EU-hosted\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Ory Cloud\",\n      \"provider\": \"Ory Corp\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Authentication and fine-grained permissions, EU-hosted (Frankfurt)\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Run backend services in EU region (Paris/Amsterdam)\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Scaleway Cockpit & Logs\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, logs, and alerting, data stays in EU\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD pipelines for code, no personal data stored\"\n    }\n  ],\n  \"main_risk\": \"Heavy reliance on Algolia for search could lead to vendor lock-in and limited customization of semantic models.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16623,"probe_id":5990,"sample":1,"system":"document_search","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high concurrency and performance for document ingestion and search request handling.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for user metadata and granular access control lists.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides mature full-text search, vector indexing, and strong integration with EU-based data centers.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides cost-effective, EU-sovereign storage for raw documents compliant with GDPR requirements.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enables efficient semantic embedding generation within European infrastructure regions.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ensures secure, scalable user identity management with localized EU data processing options.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust container management for scaling search and ingestion workloads.\"\n    }\n  ],\n  \"main_risk\": \"Latency overhead during real-time semantic embedding generation for high-volume document ingestion.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16632,"probe_id":5990,"sample":1,"system":"document_search","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"API-first monolith → later microservices split\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Runs everywhere; idiomatic web frameworks available\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast compilation, runtime safety, HTTP servers are first class\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"API Gateway\",\n      \"provider\": \"Kong\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Open-source gateway with European-datacenter option\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"service\": \"Aiven PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enterprise-grade; GDPR-compliant EU regions; ACID transactions for metadata\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"managed\",\n      \"service\": \"Redis Cloud\",\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond cache for session tokens and permissions\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Lucene\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"service\": \"Elasticsearch\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Battle-tested full-text index; semantic (dense vectors) supported natively\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"S3-compatible; primary EU datacenter; cost-effective, scalable\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Baked-in EU data residency, OAuth2/OIDC, RBAC hooks ready\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed k8s in EU regions simplifies compliance & scaling\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard CNCF runtime; self-hosted atop GKE auto-pilot\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in PR checks, OIDC identity federation to Kubernetes\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CNCF standard; matches Kubernetes metrics pipeline\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"Synadia\",\n      \"delivery\": \"managed\",\n      \"service\": \"NATS Cloud\",\n      \"provider\": \"Synadia\",\n      \"delivery\": \"saas\",\n      \"reason\": \"JetStream built-in persistence; European region; low ops\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless SQL; near real-time ingestion; EU data regions\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Kotlin (Android), Swift (iOS)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native parity with backend API; best performance & UX\"\n    }\n  ],\n  \"main_risk\": \"Elasticsearch costs can spike during vector search at scale.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16636,"probe_id":5990,"sample":1,"system":"document_search","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"Kubernetes microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React + TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI and wide ecosystem; runs as static assets.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong ML ecosystem and fast iteration with sentence-transformers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async APIs, automatic OpenAPI generation.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, interoperable API surface for search and permissions enforcement.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional store with row-level security and EU-hosted managed service.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud (Elasticsearch Service) in EU region\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Combined full-text and vector search with EU hosting and managed operations.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted durable storage for documents and raw payloads.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control over identities and EU data residency compliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud compute\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective EU compute with managed Kubernetes support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Run microservices, model servers, and observability with EU residency.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for sessions, embeddings, and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable ingestion pipeline for documents and processing tasks.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch (sentence-transformers)\",\n      \"service\": \"self-hosted inference server (containerized)\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Run embedding models in EU to satisfy personal data residency.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": \"self-hosted on cluster\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full metrics, logging, and dashboards under operator control in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"self-hosted GitLab\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"On-premises pipelines for code and image builds ensuring EU residency.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"self-hosted PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics that can be hosted in EU and respects privacy.\"\n    }\n  ],\n  \"main_risk\": \"Scaling EU-hosted model inference and high-dimensional vector search requires costly GPU resources and complex operational scaling.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16639,"probe_id":5990,"sample":1,"system":"document_search","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"ingestion search pipeline\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"search and upload UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ingestion and orchestration\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"permissions and metadata\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ingestion decoupling\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": \"elastic cloud\",\n    \"provider\": \"elastic\",\n    \"delivery\": \"managed\",\n    \"reason\": \"full-text and vector search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"object storage\",\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU document storage\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"permissions in EU\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU compute\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"sentence-transformers\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU embeddings\"\n  }],\n  \"main_risk\": \"Self-hosted stack raises operational load and scaling expertise needs.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16652,"probe_id":5991,"sample":1,"system":"document_search","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"self-hosted search platform with semantic capabilities\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source UI framework for document search interface\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem for search, ML, and document processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modern async Python framework with built-in OpenAPI documentation\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for document metadata and permissions\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search with vector field support for semantic search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage for document blobs\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching and query result caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis backend\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous document ingestion and indexing pipeline\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 with JWT\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard token-based auth with permission enforcement in backend\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"sentence-transformers\",\n      \"service\": null,\n      \"provider\": \"Hugging Face\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source embedding model for semantic search vectors\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple orchestration for interconnected services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF and community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source metrics collection and visualization\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted CI/CD pipeline for deployments\"\n    }\n  ],\n  \"main_risk\": \"Semantic search quality depends on embedding model; degraded results if model outdated or insufficiently trained for domain documents.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch should migrate to Milvus or similar vector database when semantic search dominates full-text queries at scale\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16143,"probe_id":5991,"sample":1,"system":"document_search","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for document upload, search, and permission views.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-capable language for building the backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Tiangolo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST API with automatic OpenAPI docs and async handlers.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores user accounts, permissions, and document metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session store and rate-limiting counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Broadcom (VMware)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous ingestion pipeline for document processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project (AWS)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and k-NN vector search with document-level security.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted S3-compatible store for raw document files.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC identity provider handling users, roles, and RBAC.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and dashboards for system health.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration enabling scaling and self-healing.\"\n    }\n  ],\n  \"main_risk\": \"Sustaining low-latency semantic queries when the OpenSearch cluster scales under heavy vector search load.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16660,"probe_id":5991,"sample":1,"system":"document_search","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservice\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high performance and efficient concurrency for document processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides a lightweight and high-throughput routing foundation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational storage with robust support for complex permission schemas.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable full-text search with vector capabilities for semantic retrieval.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, high-performance storage for raw document binaries.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Hugging Face Transformers\",\n      \"service\": null,\n      \"provider\": \"Hugging Face\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for converting documents into vector embeddings.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Mozilla Public License\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust asynchronous message delivery for ingestion and indexing tasks.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"JBoss\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Comprehensive open-source identity and access management for granular permissions.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for managing containerized workloads at production scale.\"\n    }\n  ],\n  \"main_risk\": \"Synchronizing vector indices during high-frequency ingestion may lead to search staleness or performance bottlenecks.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16665,"probe_id":5991,"sample":1,"system":"document_search","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith then modular\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"CPython\",\n      \"delivery\": \"client\",\n      \"reason\": \"strong ecosystem and async support required for search\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"client\",\n      \"reason\": \"lightweight, async, high-level REST design\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"REST\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"universal compatibility and clear semantics\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"postgresql\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"built-in full-text search and JSONB for flexible schemas\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"open-source fork of Elasticsearch with strong full-text and vector search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"min.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"AWS S3-compatible, minimal storage overhead, self-hostable\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"mature, performant in-memory store for session and frequent queries\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"dependable, high-throughput streaming for async ingestion\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"central identity provider with RBAC and permission evaluation\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"simple, reproducible local and production deployment baseline\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": \"linux\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"industry-standard, secure, and broadly supported OS\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus + Grafana\",\n      \"provider\": \"prometheus\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"strong open-source metrics and visualization stack\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"deep integration with source control and zero setup CI\"\n    }\n  ],\n  \"main_risk\": \"OpenSearch cluster scaling and vector search latency at large document volumes.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16668,"probe_id":5991,"sample":1,"system":"document_search","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI and broad ecosystem for integrations and SSR if needed.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, and compact deployable binaries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP framework that integrates with Go toolchain.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"gqlgen\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible, client-driven queries for combined full-text and semantic results.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID, row-level security, extensions (pgvector) for metadata and permissions.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source full-text and k-NN vector search in one self-hostable product.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, high-performance object store for documents and attachments.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect, RBAC, and enterprise SSO with LDAP/AD integration.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching for sessions, rate limits, and hot query results.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable message broker for ingestion pipelines and background processing.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch / Hugging Face models\",\n      \"service\": \"BentoML\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serve sentence-transformer embeddings and semantic models reproducibly on-prem.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, service discovery, and rollout control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"OpenStack\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Private cloud VMs and networking for predictable on-prem infrastructure.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and dashboards for performance and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated pipelines, runners, and artifact storage for self-hosted workflows.\"\n    }\n  ],\n  \"main_risk\": \"Embedding generation and vector search throughput can bottleneck ingestion and increase query latency under heavy load.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16095,"probe_id":5991,"sample":1,"system":"document_search","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA document search product with ingestion, permissions, full-text and semantic search.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"search platform\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles ingestion and embedding generation\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async API for search and permissions\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores metadata and ACLs\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"opensearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full-text plus vector search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"minio\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores source documents\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"decouples ingestion pipeline\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted permission and identity\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"runs all stateful workloads\"\n  }],\n  \"main_risk\": \"Permissions and index sync lag under high ingestion.\",\n  \"first_component_to_replace_at_scale\": \"rabbitmq\"\n}","model_label":"Grok"},{"response_id":16091,"probe_id":5992,"sample":1,"system":"analytics_pipeline","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven analytics platform with real-time dashboards\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive dashboards require responsive, component-driven UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent ecosystem for data pipelines and analytics workloads\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async framework suitable for concurrent API requests\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol for dashboard frontend and event ingestion\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"Yandex\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar database optimized for time-series analytics and aggregations\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast session and query result caching for dashboard responsiveness\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event streaming for reliable ingestion and replay capability\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cost-effective archival and backup of historical events\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live dashboard updates without polling overhead\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless authentication suitable for distributed backend\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates scaling of event ingestion and dashboard services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitor ingestion throughput, query latency, and system health\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD for code deployment and testing\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse cluster scaling and data consistency under peak event volumes; mitigation via Kafka buffering and partitioning strategy.\",\n  \"first_component_to_replace_at_scale\": \"Kafka should be upgraded to distributed message broker or replaced with Apache Pulsar for stronger retention and multi-tenancy guarantees\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16139,"probe_id":5992,"sample":1,"system":"analytics_pipeline","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich, interactive single-page application for dashboards.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety, shared types with frontend, async I/O.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated, modular structure for maintainable backend code.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar store optimized for fast aggregations on event data.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational metadata, user accounts, dashboards.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency cache for dashboard query results.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming, decouples ingestion from processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable, durable archive for raw events.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"Socket.IO community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket push for live dashboard updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed authentication, social login, enterprise SSO.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon EC2 / EKS\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global infrastructure, on-demand scaling.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, auto-scaling, rolling updates.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, APM for full observability.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with repository, automated testing and deployment.\"\n    }\n  ],\n  \"main_risk\": \"Handling peak event ingestion rate while maintaining low query latency for dashboards.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16090,"probe_id":5992,"sample":1,"system":"analytics_pipeline","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for building complex, interactive dashboard interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support for processing massive event ingestion streams efficiently.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable high-throughput buffer for decoupling ingestion from heavy analytical processing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Optimized columnar storage for sub-second aggregations on billions of event rows.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective long-term archival for raw event data and batch processing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces security overhead by offloading identity management and compliance to a specialist.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized runtime for scaling ingestion workers and API services elastically.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified visibility into request latency and ingestion pipeline bottlenecks.\"\n    }\n  ],\n  \"main_risk\": \"Data ingestion spikes exceeding downstream database write capacity during high-traffic events.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16094,"probe_id":5992,"sample":1,"system":"analytics_pipeline","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven analytics\",\n  \"components\": [\n    { \"role\": \"frontend\", \"technology\": \"TypeScript\", \"service\": \"Next.js\", \"provider\": \"Vercel\", \"delivery\": \"saas\", \"reason\": \"Best-in-class React framework with production-grade dashboards\" },\n    { \"role\": \"mobile\", \"technology\": \"Kotlin\", \"service\": \"Jetpack Compose\", \"provider\": \"Google\", \"delivery\": \"client\", \"reason\": \"Official Android toolchain with modern UI primitives\" },\n    { \"role\": \"backend_language\", \"technology\": \"Rust\", \"service\": null, \"provider\": \"Mozilla\", \"delivery\": \"self_hosted\", \"reason\": \"Zero-cost abstractions for high-throughput analytics\" },\n    { \"role\": \"backend_framework\", \"technology\": \"Axum\", \"service\": null, \"provider\": \"Tokio\", \"delivery\": \"self_hosted\", \"reason\": \"Rust-native async web framework with telemetry built-ins\" },\n    { \"role\": \"api\", \"technology\": null, \"service\": \"Stripe API Gateway\", \"provider\": \"Stripe\", \"delivery\": \"saas\", \"reason\": \"Enterprise-grade routing with auth and rate-limiting\" },\n    { \"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": \"Neon\", \"provider\": \"Neon\", \"delivery\": \"saas\", \"reason\": \"Serverless Postgres with branching and instant scalability\" },\n    { \"role\": \"secondary_database\", \"technology\": \"ClickHouse\", \"service\": null, \"provider\": \"ClickHouse Inc\", \"delivery\": \"self_hosted\", \"reason\": \"Columnar storage for trillion-row event analytics\" },\n    { \"role\": \"cache\", \"technology\": \"Redis\", \"service\": \"Upstash\", \"provider\": \"Upstash\", \"delivery\": \"saas\", \"reason\": \"Serverless Redis with global edge caches\" },\n    { \"role\": \"queue\", \"technology\": \"Kafka\", \"service\": \"Confluent Cloud\", \"provider\": \"Confluent\", \"delivery\": \"saas\", \"reason\": \"High-throughput event streaming with schema registry\" },\n    { \"role\": \"search\", \"technology\": \"Apache Doris\", \"service\": null, \"provider\": \"Apache Software Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Sub-second OLAP queries on semi-structured events\" },\n    { \"role\": \"realtime\", \"technology\": \"Socket.IO\", \"service\": null, \"provider\": \"Socket.IO Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"WebSocket layer for live dashboard updates\" },\n    { \"role\": \"analytics\", \"technology\": null, \"service\": \"Snowplow Analytics\", \"provider\": \"Snowplow\", \"delivery\": \"saas\", \"reason\": \"End-to-end event collection pipeline with enrichment\" },\n    { \"role\": \"auth\", \"technology\": null, \"service\": \"Clerk\", \"provider\": \"Clerk\", \"delivery\": \"saas\", \"reason\": \"User identity with SSO and RBAC baked-in\" },\n    { \"role\": \"hosting\", \"technology\": \"Kubernetes\", \"service\": \"LKE\", \"provider\": \"Linode\", \"delivery\": \"managed\", \"reason\": \"Managed Kubernetes with flat-rate pricing\" },\n    { \"role\": \"orchestration\", \"technology\": \"Dagster\", \"service\": null, \"provider\": \"Dagster Labs\", \"delivery\": \"self_hosted\", \"reason\": \"Data-aware orchestration with lineage tracking\" },\n    { \"role\": \"observability\", \"technology\": null, \"service\": \"Datadog\", \"provider\": \"Datadog\", \"delivery\": \"saas\", \"reason\": \"Full-stack telemetry with anomaly detection\" },\n    { \"role\": \"ci_cd\", \"technology\": \"Docker\", \"service\": \"Dagger\", \"provider\": \"Dagger\", \"delivery\": \"saas\", \"reason\": \"Standardized pipelines with push-button reproducibility\" }\n  ],\n  \"main_risk\": \"Neon Postgres cold starts may spike latency under analytical load.\",\n  \"first_component_to_replace_at_scale\": \"Neon primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16113,"probe_id":5992,"sample":1,"system":"analytics_pipeline","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven OLAP analytics\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast interactive dashboards and rich visualizations in browser.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput low-latency ingestion and concurrency.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with minimal overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, widely supported API for dashboards and ingestion clients.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, partitioned ingestion buffer for high-volume event streams.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"ksqlDB\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stream transforms and materialized views near ingestion.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast columnar OLAP queries for interactive analytics.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metadata, user accounts, and transactional state.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for hot dashboard queries and sessions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Raw event lake and long-term cold storage.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon CloudFront\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global CDN for dashboard assets and API edge caching.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Containerized services, autoscaling, and rollout control.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Traces, metrics, and logs unified for performance monitoring.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure user auth, SSO, and role management.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Superset\",\n      \"service\": \"Preset Cloud\",\n      \"provider\": \"Preset\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed dashboarding and SQL exploration for analysts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD pipelines, testing, and deployment automation.\"\n    }\n  ],\n  \"main_risk\": \"Unexpected high-volume ingestion can saturate Kafka or ClickHouse, causing data loss, long query latency, and cost spikes.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16103,"probe_id":5992,"sample":1,"system":"analytics_pipeline","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven analytics platform\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"renders interactive dashboards\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high throughput event ingestion\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"buffers high-volume event streams\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"clickhouse\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"OLAP queries for dashboards\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"dashboard query acceleration\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"auth0\",\n    \"provider\": \"auth0\",\n    \"delivery\": \"saas\",\n    \"reason\": \"user login and access control\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"aws\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"compute, storage and networking\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container scaling and deployment\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": null,\n    \"service\": \"datadog\",\n    \"provider\": \"datadog\",\n    \"delivery\": \"saas\",\n    \"reason\": \"metrics, logs and traces\"\n  }],\n  \"main_risk\": \"ClickHouse cluster scaling and data ingest lag under peak load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16107,"probe_id":5993,"sample":1,"system":"analytics_pipeline","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless event streaming with embedded analytics\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low overhead, team familiarity, static hosting via object storage\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Data processing strength, minimal ops burden with serverless\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight async framework, built-in schema validation\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, stateless event ingestion and query endpoints\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Generous free tier, auto-scaling, serverless, time-series capable\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier covers pre-computed aggregations, minimal ops\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"PostgreSQL LISTEN/NOTIFY\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Eliminates separate queue infrastructure, leverages primary database\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free egress, no overage charges, frontend asset hosting\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Containerization\",\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Generous free tier, simple deployment, PostgreSQL integration\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git webhooks\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier sufficient, native GitHub integration\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": \"Railway built-in logs\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Included in hosting, reduces external dependencies\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, no external service cost, simple API key pattern\"\n    }\n  ],\n  \"main_risk\": \"Single managed database and hosting provider creates vendor lock-in; data export and migration testing critical.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary_database to dedicated data warehouse (ClickHouse/BigQuery) when event volume exceeds 10M/day\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16172,"probe_id":5993,"sample":1,"system":"analytics_pipeline","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"monolith + async queue workers\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Build interactive dashboards with rich client-side rendering.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development and rich data ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async Python web framework for high concurrency.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": \"Encode (via FastAPI)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serves dashboard queries and event ingestion endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational store with strong indexing and analytical functions.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Buffers incoming events for async processing.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Caches aggregated dashboard queries for fast loads.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap durable raw event archive; free tier sufficient early on.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple token-based auth without external service costs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VPS\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cost-effective compute starting at around $5/month.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple multi-container management on single VPS.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Loki\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers metrics and logs for small scale.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI/CD with tight GitHub integration.\"\n    }\n  ],\n  \"main_risk\": \"Single VPS is a single point of failure; event spikes can saturate resources and cause outages.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16112,"probe_id":5993,"sample":1,"system":"analytics_pipeline","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless Event-Driven\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Allows sharing types between frontend and backend efficiently with two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated API routes and frontend deployment minimize infrastructure management overhead.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless scaling and generous free tier keep costs well below budget.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Upstash QStash\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"HTTP-based queuing avoids managing complex infrastructure and fits the serverless model.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Vercel\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Optimized for serverless deployments and static asset serving with zero configuration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides essential error tracking and performance monitoring out-of-the-box.\"\n    }\n  ],\n  \"main_risk\": \"High event volume may lead to unpredictable serverless invocation costs as the platform grows.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16116,"probe_id":5993,"sample":1,"system":"analytics_pipeline","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless analytics pipeline\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"JavaScript\",\n      \"service\": \"Recharts\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast hosted charting library\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Low-cost and versatile for scripting\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP\",\n      \"service\": \"Vercel Functions\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless endpoints with free tier\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier allows 1M events/month\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"$5/month tiny machine with free allowance\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Bundles analytics, feature flags, logs\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"2000 free minutes/month covers builds\"\n    }\n  ],\n  \"main_risk\": \"Free PostHog tier may throttle at scale.\",\n  \"first_component_to_replace_at_scale\": \"analytics\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16119,"probe_id":5993,"sample":1,"system":"analytics_pipeline","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"managed-serverless\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel (static + Edge CDN)\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap static hosting and edge CDN with easy deploys and free tier.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": \"Vercel Serverless Functions\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified runtime with frontend, minimal ops and free hobby allocations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": \"Vercel (Next.js optimized)\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Combines pages, APIs, and SSR for dashboards with low operational overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": \"Next.js API Routes\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simple batched event endpoints; easy to implement and cheap to run.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Postgres with free tier, SQL analytics, and easy integration.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless, low-cost Redis for counters and short-lived caches.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost asset storage colocated with Postgres and auth.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Postgres LISTEN/NOTIFY\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reuses existing DB for lightweight buffering without extra infrastructure.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Postgres replication / realtime\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Push dashboard updates with minimal integration and no extra servers.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT / OAuth\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides common auth flows and integrates with Postgres and storage.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Serverless + CDN\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Hosts frontend and serverless APIs with global CDN and free tier.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error logging + traces\",\n      \"service\": \"Sentry (free tier)\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-effort error tracking and performance monitoring with free plan.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free/minimal-run CI for tests, builds, and deploy workflows.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL materialized views and rollups\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pre-aggregate interactive dashboard queries using existing managed DB.\"\n    }\n  ],\n  \"main_risk\": \"Postgres-based ingestion and ad-hoc queries will bottleneck at higher event volumes causing latency and cost spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16126,"probe_id":5993,"sample":1,"system":"analytics_pipeline","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolithic web app\",\n  \"components\": [{\n    \"role\": \"backend_framework\",\n    \"technology\": \"FastAPI\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight python api handles ingest and queries\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"single store for events and aggregates\"\n  }, {\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"browser-rendered interactive dashboards\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"droplet\",\n    \"provider\": \"DigitalOcean\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"$6/mo vps keeps total spend under budget\"\n  }],\n  \"main_risk\": \"single VPS outage takes down ingestion and dashboards\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16132,"probe_id":5994,"sample":1,"system":"analytics_pipeline","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Event-driven analytics with real-time aggregation\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast interactive dashboards with WebSocket support for real-time updates\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, minimal latency for 100k concurrent event ingestion\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Kafka Streams\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time event processing and aggregation at scale\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency event ingestion API for high-throughput scenarios\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metadata, user configs, and query state with ACID guarantees\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar OLAP engine optimized for analytics aggregation queries\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cache aggregated dashboard data and session state\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event buffer handling 10M monthly events with replay capability\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Raw event archival and export functionality\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live dashboard updates without polling overhead\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable authentication without operational burden\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling for variable event ingestion, simplified operations\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with native service discovery\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Metrics, logs, and traces for event pipeline debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native CI/CD within development workflow\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native analytics queries on event data\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse operational complexity and cluster rebalancing during scaling may become a bottleneck at 10M+ events/month.\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16214,"probe_id":5994,"sample":1,"system":"analytics_pipeline","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-Driven Streaming Analytics\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for interactive dashboards.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, efficient API layer.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"HTTP API for dashboards and event ingestion.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Columnar OLAP for fast aggregation, high concurrency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores user accounts and dashboard metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caches frequent dashboard queries.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable high-throughput event ingestion stream.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Archives raw events for future batch processing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure user auth, SSO, reduces operational overhead.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable cloud with global regions.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for API services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana/Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, logs for monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD pipeline automation.\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse cluster may become cost-prohibitive or difficult to scale for 100k concurrent interactive analytical queries.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16138,"probe_id":5994,"sample":1,"system":"analytics_pipeline","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Offers high concurrency performance and low memory overhead for massive event ingestion.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Efficient binary serialization protocol minimizes payload size and latency for high-throughput traffic.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides durable, high-throughput message streaming necessary for buffering 100k concurrent events.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Columnar storage engine optimized for real-time analytical aggregation on massive datasets.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Elasticache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Essential for sub-millisecond dashboard state retrieval and session management at scale.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardizes deployment and supports automated horizontal scaling for dynamic workload surges.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified platform for tracing high-volume requests and monitoring infrastructure health at scale.\"\n    }\n  ],\n  \"main_risk\": \"The primary database's query performance under complex analytical joins across petabytes of event data.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16141,"probe_id":5994,"sample":1,"system":"analytics_pipeline","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Event-driven analytics platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant UI library with strong ecosystem\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High concurrency with low latency overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast Go HTTP framework optimized for APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global edge network with zero cold starts\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Proven RDBMS with strong consistency\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Blazing fast OLAP for analytics queries\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Battle-tested in-memory store for low latency\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Proven high-throughput event streaming\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Elasticsearch\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature full-text and analytics search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable object storage\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"WebSocket API via Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency bidirectional communication\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Firebase Authentication\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable identity platform\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes for container orchestration\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Terraform\",\n      \"service\": null,\n      \"provider\": \"HashiCorp\",\n      \"delivery\": \"client\",\n      \"reason\": \"Infrastructure as code for reproducibility\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and traces\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Seamless integration with Git for pipelines\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cloud-native analytics warehouse\"\n    }\n  ],\n  \"main_risk\": \"Hit event ingestion latency spikes under 100k concurrent users\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse Cloud\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16155,"probe_id":5994,"sample":1,"system":"analytics_pipeline","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven-analytics\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Amazon S3 + CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global CDN and static hosting for fast dashboard delivery.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput, low-latency services for ingestion and APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with minimal overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient RPC with high concurrency for internal and external APIs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global infrastructure and broad managed service ecosystem.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container orchestration with native AWS integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance columnar OLAP for interactive analytical queries.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable transactional metadata store with strong consistency.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and materialized view acceleration.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable high-throughput event streaming for ingestion.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"ksqlDB\",\n      \"service\": \"Confluent Cloud ksqlDB\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Streaming transformations and materialized views on Kafka.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cheap, durable raw event and parquet storage for batch analytics.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Hosted metrics, dashboards and logs with scalable Prometheus ingestion.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with wide ecosystem and runner options.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable authentication, SSO and security features out of the box.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Spark\",\n      \"service\": \"Databricks\",\n      \"provider\": \"Databricks\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Large-scale batch jobs and complex cohort computations.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast text and field search for user and event indexing.\"\n    }\n  ],\n  \"main_risk\": \"Multi-vendor managed services create operational complexity, increased cost, and a larger correlated-failure blast radius.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16150,"probe_id":5994,"sample":1,"system":"analytics_pipeline","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event streaming pipeline\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"renders interactive dashboards\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high-throughput event ingestion\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"grpc\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"efficient binary event transport\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"durable high-volume event streaming\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"clickhouse\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast olap queries on events\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"dashboard query result caching\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"auth0\",\n    \"provider\": \"okta\",\n    \"delivery\": \"saas\",\n    \"reason\": \"managed user authentication\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"scale stateless services\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  }],\n  \"main_risk\": \"Kafka self-management becomes operationally complex at this scale.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Grok"},{"response_id":16157,"probe_id":5995,"sample":1,"system":"analytics_pipeline","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven analytics platform with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive dashboards require responsive UI framework\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput event ingestion needs efficient concurrency\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight framework suitable for event API and dashboards API\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for event ingestion and dashboard queries\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar OLAP database optimized for event analytics and aggregations\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable event streaming buffer for high-volume ingestion\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching and dashboard query result caching\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for exports and backups, full EU control\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted identity with EU data residency\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based infrastructure provider with strong data residency guarantees\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scalable microservices deployment\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source monitoring and logging with full data control\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted CI/CD with GitOps capabilities for infrastructure\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse cluster operational complexity at scale; careful capacity planning and expertise required for production reliability.\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16223,"probe_id":5995,"sample":1,"system":"analytics_pipeline","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven analytics pipeline\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive dashboards rendered client-side from static assets.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput event ingestion and API performance.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard library HTTP server for lightweight services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"Aiven for ClickHouse\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Analytical queries on event data, EU-hosted managed service.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User accounts, project metadata, EU-hosted managed.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dashboard query cache and session store in EU cluster.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouple event ingestion from processing, EU managed.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serve static frontend assets from an EU cloud provider.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU self-hosted identity and access management for dashboards.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based managed Kubernetes for all backend workloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics monitoring and dashboards, fully hosted in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU self-hosted pipelines for build, test, deploy.\"\n    }\n  ],\n  \"main_risk\": \"Managed ClickHouse and Kafka services under extreme event volumes may require careful capacity planning and cost management within EU constraints.\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"DeepSeek"},{"response_id":16162,"probe_id":5995,"sample":1,"system":"analytics_pipeline","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Offers high throughput and memory efficiency for processing large volumes of analytical events.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Low latency communication for high-frequency event ingestion.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Superior performance for analytical aggregations and column-store efficiency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable high-throughput buffer to handle event ingestion spikes and decoupling.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based provider ensures local data sovereignty and cost-effective cold storage.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides container orchestration within EU data centers with simplified operational overhead.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for metrics with enterprise-grade visualization and EU data residency options.\"\n    }\n  ],\n  \"main_risk\": \"Data ingestion bottlenecks during peak traffic could delay dashboard updates if partitioning strategies are not optimized.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16167,"probe_id":5995,"sample":1,"system":"analytics_pipeline","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless analytics platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant industry standard for SPAs with strong ecosystem.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Rich ecosystem for data/analytics workloads, fast development.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Independent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ASGI framework optimized for high-throughput APIs and async.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"AWS API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed, supports REST/WebSocket, integrates with Lambda.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency, ACID-compliant, EU data residency possible.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Optimized for analytical queries and real-time dashboards.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature search engine with strong full-text capabilities.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"De facto standard for object storage with EU regions available.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for durable, high-throughput event streaming.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": \"SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed, serverless message queue; integrates with Lambda.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Redis with persistence for session and query caching.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"AWS Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed OAuth2/OIDC provider with EU region support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless compute; scales to zero, low operational overhead.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"AWS Step Functions\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Visual workflow orchestration for complex data pipelines.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, traces with strong alerting capabilities.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with Git repos, strong community actions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Open-source analytics with EU hosting option and feature flags.\"\n    }\n  ],\n  \"main_risk\": \"EU data residency compliance risk due to reliance on US-based SaaS components.\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16176,"probe_id":5995,"sample":1,"system":"analytics_pipeline","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven OLAP\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Fast interactive dashboards with wide ecosystem.\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Golang\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"High-concurrency, low-latency ingestion and small binary footprint.\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Gin\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Minimal overhead and idiomatic Go HTTP handling.\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"REST (HTTP/JSON)\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Simple, widely compatible API for events and dashboards.\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"ClickHouse\",\n    \"service\": \"Altinity.Cloud (EU)\",\n    \"provider\": \"Altinity\",\n    \"delivery\": \"managed\",\n    \"reason\": \"High-performance columnar OLAP optimized for event analytics.\"\n  }, {\n    \"role\": \"secondary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Aiven PostgreSQL (EU)\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Reliable relational metadata store with strong consistency.\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"Aiven Redis (EU)\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Low-latency caching and materialized view support.\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"Apache Kafka\",\n    \"service\": \"Aiven Kafka (EU)\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Durable high-throughput event ingestion with EU residency.\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"Apache Flink\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Stateful stream processing for real-time aggregations and joins.\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3 API\",\n    \"service\": \"Scaleway Object Storage (EU)\",\n    \"provider\": \"Scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU-resident durable raw event and backup storage.\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Open-source OIDC/OAuth2, can be deployed fully within EU.\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"Kubernetes\",\n    \"service\": \"Hetzner Kubernetes Service (EU)\",\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Cost-effective EU-hosted container orchestration.\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Argo CD\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"GitOps continuous delivery integrated with Kubernetes.\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus+Grafana+Loki\",\n    \"service\": \"Grafana Cloud (EU)\",\n    \"provider\": \"Grafana Labs\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Unified metrics, logs, dashboards with EU hosting option.\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"GitLab CI\",\n    \"service\": \"Self-hosted GitLab\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Integrated CI/CD and repositories hosted within EU infrastructure.\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": \"dbt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Versioned SQL transformations run near ClickHouse for lineage.\"\n  }],\n  \"main_risk\": \"Operational complexity from self-hosted stream processing and Kubernetes may cause outages and slow recovery.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16180,"probe_id":5995,"sample":1,"system":"analytics_pipeline","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven pipeline\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"interactive dashboards\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high-throughput event handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"clickhouse\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"columnar analytics queries in EU\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable event buffering\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU data residency for identity\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU infrastructure provider\"\n  }],\n  \"main_risk\": \"Self-hosted stack raises ops and scaling burden\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Grok"},{"response_id":16189,"probe_id":5996,"sample":1,"system":"analytics_pipeline","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven analytics platform with streaming ingestion\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive dashboards with real-time updates; large ecosystem\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Data processing, analytics, and ML integration; strong libraries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast async API; excellent for event handling and dashboards\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for bulk ingestion; WebSocket for real-time dashboard updates\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Optimized OLAP engine for time-series analytics; excellent compression\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event ingestion with replay capability; fault tolerant\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session storage and query result caching; fast reads\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for exports and backups; fully open source\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless auth; integrates with FastAPI; standard security\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestrates microservices; scales ingestion and query workloads\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF and Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitor pipeline health, query latency, and resource usage\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full CI/CD pipeline; self-hosted runner support; built-in\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse single-node bottleneck under sustained high-volume ingestion; requires sharding strategy before scaling beyond ~1M events/sec.\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16266,"probe_id":5996,"sample":1,"system":"analytics_pipeline","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive dashboard UI built with React\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe server-side logic\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimalist REST API framework\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serves dashboards and ingests events\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores users, dashboards metadata, and configurations\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse\",\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance OLAP for event data and fast queries\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Apache Kafka\",\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Resilient event streaming and buffering for ingestion pipeline\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis\",\n      \"provider\": \"Redis Ltd. (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Query cache and session store\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live dashboard updates via WebSockets\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Store raw event batches, exports, and assets\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC-based authentication and authorization\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Runs all components on self-managed servers\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Kubernetes\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling and resilience\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics monitoring and dashboards for system health\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab Runner\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated build, test, and deployment pipelines\"\n    }\n  ],\n  \"main_risk\": \"Operating a fully self-hosted distributed system with Kafka, ClickHouse, and Kubernetes demands significant DevOps expertise and can strain team resources.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"DeepSeek"},{"response_id":16190,"probe_id":5996,"sample":1,"system":"analytics_pipeline","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-stream processing\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and excellent performance for ingestion services.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides durable, high-throughput buffering for incoming event streams.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar storage engine optimized for complex analytical queries on massive datasets.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency state management and session caching for dashboard requests.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized container orchestration for managing complex distributed service dependencies.\"\n    },\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Robust component ecosystem for building complex, reactive data visualization dashboards.\"\n    }\n  ],\n  \"main_risk\": \"Managing and scaling a high-throughput Kafka cluster requires significant operational expertise and infrastructure overhead.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16198,"probe_id":5996,"sample":1,"system":"analytics_pipeline","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Open-source analytics stack with self-hosted core\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Strong data ecosystem and analytics libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"OpenAPI Initiative\",\n      \"delivery\": \"client\",\n      \"reason\": \"High-performance async Python API framework.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard for open analytics APIs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable OLTP with JSON, postgis, and full control.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance in-memory store for sessions/metrics.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming for high-throughput ingestion.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elasticsearch BV\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and analytical search over event data.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for raw event archives.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Enables live dashboard updates without polling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2/OIDC\",\n      \"service\": \"Dex\",\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified identity broker with open-source support.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Materialize\",\n      \"service\": null,\n      \"provider\": \"Materialize Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time SQL on event streams with PostgreSQL compatibility.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestration for high-availability self-hosted deployment.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Argo Workflows\",\n      \"service\": null,\n      \"provider\": \"Argo Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Workflow engine for ETL and data pipeline orchestration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection with native Kubernetes integration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified visualization platform for dashboards and alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with Git workflows and open runners.\"\n    }\n  ],\n  \"main_risk\": \"Materialize's resource intensity may complicate scaling beyond moderate event volumes.\",\n  \"first_component_to_replace_at_scale\": \"analytics\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16207,"probe_id":5996,"sample":1,"system":"analytics_pipeline","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven analytics\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Component-rich SPA framework for interactive dashboards and embedding.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low-latency binaries, small operational footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, fast HTTP framework for Go services and APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard HTTP APIs for SDKs, web UI, and integrations.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, high-throughput event bus for ingestion and replay.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Apache Flink\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateful stream processing for low-latency aggregations and enrichments.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar OLAP engine optimized for high-cardinality, ad-hoc analytics.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Transactional metadata, user data, and governance storage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching for sessions, feature flags, and hot queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for raw events, backups, and parquet dumps.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Superset\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted interactive dashboards and exploratory analytics UI.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat / Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2 SSO, RBAC, and user federation for multi-tenant access.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard container orchestration for scaling and resilience.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux virtual machines\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable, self-hosted compute layer for Kubernetes nodes and stateful services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection, alerting, and service-level monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated git hosting and pipelines for builds and deployments.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of self-hosting and scaling Kafka/Flink/ClickHouse stack increases staffing and reliability burden.\",\n  \"first_component_to_replace_at_scale\": \"Apache Kafka\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16209,"probe_id":5996,"sample":1,"system":"analytics_pipeline","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA product analytics platform ingesting events and serving interactive dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"","model_label":"Grok"},{"response_id":16218,"probe_id":5997,"sample":1,"system":"event_streaming","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservice\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard ingest endpoint for event producers\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrent event processing with minimal overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Kafka Streams\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native stream processing, exactly-once semantics, stateful transformations\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event log, high throughput, replay capability, routing backbone\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event metadata, routing rules, transformation configs with ACID guarantees\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Route lookup cache, deduplication state, session management\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling event processors independently\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics for throughput/latency, distributed tracing for event flow debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated version control, minimal operational overhead for deployment\"\n    }\n  ],\n  \"main_risk\": \"Kafka cluster operational complexity and state management in distributed transformation logic under high event volume.\",\n  \"first_component_to_replace_at_scale\": \"Kafka Streams to managed streaming platform (AWS Kinesis, Confluent Cloud) to offload cluster operations\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16297,"probe_id":5997,"sample":1,"system":"event_streaming","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure, scalable HTTP endpoint to ingest business events with throttling.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem with strong typing and native Kafka Streams support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Microservice framework integrating Kafka Streams, Actuator, and external services.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, partitioned event log decouples ingestion from transformation and routing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores routing rules, transformation definitions, and audit records.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caches routing tables to reduce DB queries during event processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Archives raw events for replay and long-term compliance.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"AWS Glue Schema Registry\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Governs Avro schemas for Kafka topics with compatibility enforcement.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Runs containerized Spring Boot workers and scales automatically.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides compute, networking, and fully managed cloud services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, traces, and logs for end-to-end event flow visibility.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automates build, test, and deployment pipelines to EKS.\"\n    }\n  ],\n  \"main_risk\": \"Schema evolution without strict compatibility governance can break downstream consumers and cause data loss.\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"DeepSeek"},{"response_id":16224,"probe_id":5997,"sample":1,"system":"event_streaming","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-Driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and native concurrency support for processing large volumes of events.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard library suffices for event processing logic without heavy framework overhead.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for high-throughput, fault-tolerant asynchronous event streaming.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency for stateful event processing and metadata storage.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable lifecycle management for stateless event-processing workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides unified alerting and metrics visualization across distributed event pipelines.\"\n    }\n  ],\n  \"main_risk\": \"Data consistency lag between the event stream and the primary database during high-traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16228,"probe_id":5997,"sample":1,"system":"event_streaming","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature JVM ecosystem for high-throughput event processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust integration with messaging and observability libraries\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, durable event streaming with strong ordering guarantees\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol for event ingestion/mgmt; no extra infrastructure\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AlloyDB\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for event state with read replicas for scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond access for event routing metadata\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enables low-latency client event delivery without polling\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Zero-trust identity management with minimal integration effort\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE Autopilot\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Autoscaling, self-healing event processors in managed environment\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloud Monitoring + Cloud Logging\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified tracing/metrics/logs across event-pipeline components\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"sass\",\n      \"reason\": \"Native repo integration; no extra CI infrastructure needed\"\n    }\n  ],\n  \"main_risk\": \"Kafka outage directly blocks event ingestion and routing.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16237,"probe_id":5997,"sample":1,"system":"event_streaming","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven stream processing\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput, low-latency concurrency and small binary footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Go kit\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured microservice patterns, observability and transport abstraction.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": \"Envoy Proxy\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"gRPC for compact RPC; Envoy for routing, TLS and protocol translation.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, ordered, high-throughput event backbone with managed operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional configuration and state store with strong consistency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"Altinity.Cloud\",\n      \"provider\": \"Altinity\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast analytical queries over large event history for reporting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency dedupe, offsets caching, and transient state.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cheap storage for large event payloads and archives.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"AWS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Broad managed services and global regions for resilience and latency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container orchestration with AWS integrations and node management.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed identity and token flows for services and users.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standard instrumentation plus hosted metrics, logs, and traces.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipelines, secrets, and deployment workflows.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Business analytics and BI-ready warehousing from event aggregates.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on managed Kafka (Confluent Cloud) creates highest risk from outages or throttling affecting event durability.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16239,"probe_id":5997,"sample":1,"system":"event_streaming","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven pipeline\",\n  \"components\": [{\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": \"apache\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"durable ordered event transport\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"java\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"mature kafka streams support\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"kafka-streams\",\n    \"service\": null,\n    \"provider\": \"apache\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in transformation and routing\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting standard\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container scaling and management\"\n  }],\n  \"main_risk\": \"Kafka cluster operations and tuning require specialized expertise.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Grok"},{"response_id":16249,"probe_id":5998,"sample":1,"system":"event_streaming","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless event processor\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": \"AWS API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Minimal operational overhead; scales automatically; free tier covers initial load\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development for two engineers; excellent event processing libraries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"AWS Lambda\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless; no infrastructure to manage; free tier handles low-volume events\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"AWS SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples ingestion from processing; reliable delivery; free tier sufficient\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"AWS DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless; on-demand pricing scales to zero; handles event metadata and routing rules\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"CloudWatch\",\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native AWS integration; free tier logs sufficient for two engineers; no separate tool cost\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public/private repos; minimal configuration; deploys to Lambda directly\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"AWS Free Tier + on-demand\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Consolidated billing; free tier covers first year; scales automatically\"\n    }\n  ],\n  \"main_risk\": \"DynamoDB costs spike unexpectedly if event volume or transformation complexity grows beyond free tier provisioning; requires monitoring and scaling rules.\",\n  \"first_component_to_replace_at_scale\": \"DynamoDB\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16295,"probe_id":5998,"sample":1,"system":"event_streaming","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"serverless event-driven\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP API\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Receives outside events, includes API key auth, stays within free tier.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"API key\",\n      \"service\": \"Amazon API Gateway API keys\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simple authentication for inbound events without custom service.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples ingestion from processing, handles bursts, free tier generous.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Low cold start, large ecosystem, team familiarity, cost-free runtime.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"function as a service\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Executes transformation logic, scales to zero, within free tier limits.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"event bus\",\n      \"service\": \"Amazon EventBridge\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Routes transformed events to targets using rules, free tier covers initial load.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"key-value store\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores event schemas, routing rules, low latency, free tier 25 GB.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"object store\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Dead-letter storage for failed events, large payloads, negligible cost initially.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"logging, metrics, tracing\",\n      \"service\": \"Amazon CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified logs and metrics, free tier matches first-year budget constraint.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"pipeline automation\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for small teams, manages build and deploy of Lambda functions.\"\n    }\n  ],\n  \"main_risk\": \"Volume spikes could exceed AWS free tiers and push monthly costs above $200, straining the tight budget.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"DeepSeek"},{"response_id":16254,"probe_id":5998,"sample":1,"system":"event_streaming","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservice\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Highly efficient, low memory footprint, and simplifies concurrent event processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Standard library\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Avoids dependency bloat and ensures long-term maintainability for a small team.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"High performance, lightweight, and handles pub-sub patterns with minimal resource overhead.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless consumption model fits within the tight monthly budget perfectly.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, geo-distributed edge deployment with minimal operational overhead for two engineers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Generous free tier provides excellent metrics and logging within the $200 constraints.\"\n    }\n  ],\n  \"main_risk\": \"Lack of sophisticated automated scaling may lead to performance degradation during sudden unexpected event volume spikes.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16261,"probe_id":5998,"sample":1,"system":"event_streaming","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless event pipeline\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"low ops overhead, rich event libs\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"pay-per-use, scales to zero\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"serverless, durable, $0.40/m per 1M requests\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": null,\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"single-digit ms, generous free tier\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"128 MB free on t3.small\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"integrated with Lambda, $3.50/m per 1M calls\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"AWS Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"OAuth2 social logins free tier\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Free Tier EC2 t3.micro\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"constant low cost, local cache burst\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"included in Lambda free tier\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"2000 free minutes/month\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amazon EventBridge\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"routes events to downstream without devops\"\n    }\n  ],\n  \"main_risk\": \"Traceability gaps if SQS messages fail and cannot be replayed due to Lambda max age.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16263,"probe_id":5998,"sample":1,"system":"event_streaming","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast static binary, low memory usage, strong concurrency model.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal standard library reduces dependencies and operational complexity.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI/REST (HTTP+JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, language-agnostic API for ingesting and routing events.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight pub/sub with low latency and easy single-host operation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon (serverless Postgres)\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable relational storage with free/low-cost tier, minimal ops overhead.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual machine\",\n      \"service\": \"DigitalOcean Droplet\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single small VM keeps monthly costs low and operational complexity minimal.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple container orchestration suitable for a single-VM deployment.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus / Grafana\",\n      \"service\": \"Grafana Cloud (free tier)\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Hosted metrics and alerts with free tier, minimal setup effort.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with free minutes for small team and simple workflows.\"\n    }\n  ],\n  \"main_risk\": \"Single-VM self-hosted NATS and app create a single point of failure and limited resilience.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16268,"probe_id":5998,"sample":1,"system":"event_streaming","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"serverless event pipeline\",\n  \"components\": [{\n    \"role\": \"queue\",\n    \"technology\": \"message queue\",\n    \"service\": \"SQS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"receives and buffers events reliably\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"serverless functions\",\n    \"service\": \"Lambda\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"transforms and routes events cheaply\"\n  }],\n  \"main_risk\": \"SQS throughput limits require early re-architecture\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Grok"},{"response_id":16282,"probe_id":5999,"sample":1,"system":"event_streaming","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard event ingestion endpoint for producer clients\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput, low latency, efficient concurrency for event processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient service-to-service communication for internal event routing\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event buffer, high throughput, supports 100k concurrent producers\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Event metadata, routing rules, transactional consistency with warm standby\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Route cache, deduplication state, connection pooling for high concurrency\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Event log search and analytics for operational visibility\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and distributed tracing for event pipeline monitoring\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Horizontal scaling for stateless event processors at 100k concurrent load\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, service discovery, auto-scaling policies\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline automation, container registry, deployment to Kubernetes clusters\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Kafka Connect and ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stream event aggregation and time-series analytics at scale\"\n    }\n  ],\n  \"main_risk\": \"Kafka broker failure or network partition could cause event loss or processing delays affecting downstream systems.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary_database (add read replicas, shard, or migrate to distributed database)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16329,"probe_id":5999,"sample":1,"system":"event_streaming","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"scalable ingress with throttling and built-in auth\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"managed API key and token authentication\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"high-throughput durable event stream with replay\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"fast deduplication and idempotency checks\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Eclipse Adoptium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"virtual threads for high concurrency, mature ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"reactive Kafka binder, production-grade\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"auto-scaling container platform for backend\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"consolidated cloud for all infrastructure\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"end-to-end tracing, metrics, logs\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"automated build and deploy pipeline to EKS\"\n    }\n  ],\n  \"main_risk\": \"Kafka topic partitioning misconfiguration could cause hotspots under 100k concurrent publish rate.\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"DeepSeek"},{"response_id":16284,"probe_id":5999,"sample":1,"system":"event_streaming","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and low latency for event processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard library is sufficient for high-performance event routing.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliably handles massive throughput and event streaming at scale.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational consistency for business event metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond state lookups for high-concurrency event enrichment.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Proven industry standard for scaling containerized event processors.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive monitoring for debugging complex event-driven service interactions.\"\n    }\n  ],\n  \"main_risk\": \"Kafka partition rebalancing could cause momentary latency spikes during rapid horizontal scaling.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16292,"probe_id":5999,"sample":1,"system":"event_streaming","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low GC pressure for high-throughput event processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": \"Fiber\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Optimized for low latency and high concurrency\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Kong\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable API gateway for routing and rate limiting\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High throughput and built-in partitioning\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": null,\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable relational database with strong consistency\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency in-memory data store for event processing\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Pusher\",\n      \"provider\": \"Pusher Ltd.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed WebSocket service for real-time notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0 Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade identity management without self-hosting\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with Kubernetes compatibility\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized, scalable container orchestration platform\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Vendor-neutral observability with metrics, logs, traces\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with code repos and managed runners\"\n    }\n  ],\n  \"main_risk\": \"Kafka partition skew under uneven event distribution at scale\",\n  \"first_component_to_replace_at_scale\": \"Kafka\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16302,"probe_id":5999,"sample":1,"system":"event_streaming","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance compiled language for low-latency event processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"grpc-go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"gRPC library for efficient binary RPC and streaming.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Envoy\",\n      \"service\": null,\n      \"provider\": \"Envoy Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Envoy edge proxy for L7 routing, resilience, and observability.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, partitioned event log for high-throughput ingestion.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational metadata store for configuration and business state.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Column-store analytics for large-volume event queries and aggregation.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency state and lookup caching for routing decisions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost-effective storage for payloads and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"AWS API Gateway WebSocket\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed WebSocket gateway for client real-time notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standards-based identity provider for scalable secure auth.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Primary cloud provider for infrastructure and managed services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Kubernetes for container orchestration and deployment at scale.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"OTel-compatible SaaS for metrics, traces, and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GitHub Actions for automated builds, tests, and deployments.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Snowflake\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cloud data warehouse for business analytics and reporting.\"\n    }\n  ],\n  \"main_risk\": \"Managed Kafka service outage or misconfiguration could halt ingestion and downstream routing.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16299,"probe_id":5999,"sample":1,"system":"event_streaming","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"stream processing\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles high-throughput event transforms efficiently\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": \"msk\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"buffers and routes events at 100k concurrent scale\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"eks\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"deploys and scales processing workloads\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"monitors latency and throughput in production\"\n  }],\n  \"main_risk\": \"Single Kafka cluster outage halts all event routing.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Grok"},{"response_id":16310,"probe_id":6000,"sample":1,"system":"event_streaming","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Event-driven microservice\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard event ingestion interface\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast event processing, minimal memory overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Go standard library\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, no external framework dependencies\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event storage and ordering guarantee\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU jurisdiction, ACID compliance for event metadata\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast lookup for routing rules and transformation configs\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, EU data center control\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, EU-deployable event processing metrics\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab B.V.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU provider, integrated pipeline for event service deployments\"\n    }\n  ],\n  \"main_risk\": \"Kafka cluster operational complexity; undersized broker replicas risk event loss during failures.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16373,"probe_id":6000,"sample":1,"system":"event_streaming","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Efficient concurrency model for processing high-throughput events.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Lightweight, high-performance HTTP framework for REST API.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed, EU-hosted, decouples ingestion from transformation and routing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"OVHcloud Managed Database\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational store for event schemas, state, and audit; EU-hosted.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"OVHcloud Object Storage\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-resident blob storage for large event payloads and dead letters.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Zitadel\",\n      \"provider\": \"Zitadel\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted European identity provider keeps auth data in EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"OVHcloud Public Cloud\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European IaaS with all data centers in EU; meets residency requirement.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed k8s on European infrastructure for running processing services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry & Prometheus & Loki\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-region SaaS for metrics, logs, traces; European-founded company.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab B.V.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted European CI/CD keeps build artifacts in EU.\"\n    }\n  ],\n  \"main_risk\": \"CloudAMQP as a SaaS queue could become a single point of failure under extreme event bursts.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"DeepSeek"},{"response_id":16316,"probe_id":6000,"sample":1,"system":"event_streaming","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Superior concurrency performance and low memory footprint for high-throughput event processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Minimalist framework offering high performance and low overhead for API routing.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for durable, high-throughput event streaming with EU-central hosting options.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency and native JSONB support for flexible event schema management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Elastic orchestration platform with strict regional data sovereignty controls in Frankfurt.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Proven unified monitoring and alerting solution with European data residency support.\"\n    }\n  ],\n  \"main_risk\": \"Managing complex stateful event consistency across distributed services during high-volume processing spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16321,"probe_id":6000,"sample":1,"system":"event_streaming","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    { \"role\": \"backend_language\", \"technology\": \"Java\", \"service\": null, \"provider\": \"OpenJDK\", \"delivery\": \"self_hosted\", \"reason\": \"High throughput and strong typing for event processing.\" },\n    { \"role\": \"backend_framework\", \"technology\": \"Spring Boot\", \"service\": null, \"provider\": \"VMware\", \"delivery\": \"self_hosted\", \"reason\": \"Mature integration with event-driven patterns.\" },\n    { \"role\": \"api\", \"technology\": \"Apache Kafka\", \"service\": null, \"provider\": \"Apache Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Distributed event streaming for high-volume routing.\" },\n    { \"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": null, \"provider\": \"PostgreSQL Global Development Group\", \"delivery\": \"self_hosted\", \"reason\": \"Reliable RDBMS with JSON and EU hosting.\" },\n    { \"role\": \"secondary_database\", \"technology\": \"Elasticsearch\", \"service\": null, \"provider\": \"Elastic\", \"delivery\": \"self_hosted\", \"reason\": \"Real-time search and analytics for event metadata.\" },\n    { \"role\": \"cache\", \"technology\": \"Redis\", \"service\": null, \"provider\": \"Redis Ltd\", \"delivery\": \"self_hosted\", \"reason\": \"Low-latency pub/sub and caching layers.\" },\n    { \"role\": \"queue\", \"technology\": \"RabbitMQ\", \"service\": null, \"provider\": \"VMware\", \"delivery\": \"self_hosted\", \"reason\": \"Lightweight message broking for async tasks.\" },\n    { \"role\": \"auth\", \"technology\": \"Keycloak\", \"service\": null, \"provider\": \"Keycloak\", \"delivery\": \"self_hosted\", \"reason\": \"Open-source IAM with fine-grained EU-hosted control.\" },\n    { \"role\": \"hosting\", \"technology\": null, \"service\": \"Hetzner Cloud\", \"provider\": \"Hetzner\", \"delivery\": \"managed\", \"reason\": \"Cost-effective EU datacenter compliance.\" },\n    { \"role\": \"orchestration\", \"technology\": \"Kubernetes\", \"service\": null, \"provider\": \"Cloud Native Computing Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Scalable container orchestration for microservices.\" },\n    { \"role\": \"observability\", \"technology\": \"Prometheus\", \"service\": null, \"provider\": \"Prometheus Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Metric collection and alerting for operations.\" },\n    { \"role\": \"observability\", \"technology\": \"Grafana\", \"service\": null, \"provider\": \"Grafana Labs\", \"delivery\": \"self_hosted\", \"reason\": \"Visualization layer for operational dashboards.\" },\n    { \"role\": \"ci_cd\", \"technology\": \"GitHub Actions\", \"service\": \"GitHub Actions\", \"provider\": \"GitHub\", \"delivery\": \"saas\", \"reason\": \"Tight integration with source control and EU runners.\" }\n  ],\n  \"main_risk\": \"Personal data exposure if compliance monitoring lapses in self-hosted EU stack.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16333,"probe_id":6000,"sample":1,"system":"event_streaming","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-streaming\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java 17\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature, high-performance, strong ecosystem for stream processing libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven for building robust REST and Kafka-integrated microservices.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interoperable, observable, and easy to document and version.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event log with managed EU regions and strong scalability.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional metadata storage with managed EU residency and backups.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud (EU)\",\n      \"provider\": \"Altinity\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance analytical store for event analytics and reporting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Self-hosted Redis on Kubernetes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching controlled within EU-hosted infrastructure.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"OVHcloud Object Storage (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-located durable blob store with S3 compatibility for archives.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": \"Self-hosted Keycloak on Kubernetes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control over identities and EU data residency compliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Hetzner Cloud VMs\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud provider with cost-effective, EU-only data locations.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard container orchestration with operator support for components.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Grafana, Jaeger\",\n      \"service\": \"Self-hosted on Kubernetes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Complete metrics, dashboards, and tracing under EU control.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"Self-hosted GitLab on Kubernetes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pipeline control and EU data residency for code and artifacts.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden from multiple self-hosted components increases maintenance and failure risk despite EU control.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16332,"probe_id":6000,"sample":1,"system":"event_streaming","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"stream processing\",\n  \"components\": [{\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": \"aiven for kafka\",\n    \"provider\": \"aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU provider, GDPR-compliant event ingestion and routing\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"High-throughput event transformation and routing\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"European provider ensuring EU data residency\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Lightweight monitoring of event pipelines\"\n  }],\n  \"main_risk\": \"Personal data leakage outside EU during processing or routing.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Grok"},{"response_id":16088,"probe_id":6001,"sample":1,"system":"event_streaming","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservice with stream processing\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST/HTTP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol for event ingestion and routing queries\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for high-throughput event processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight framework with minimal overhead for event APIs\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming with replay and partition-based routing\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for event state and transformation rules\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast lookup of routing rules and recent event state\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"AWS/Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text indexing and aggregation of events for debugging\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration with auto-scaling for variable event load\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Jaeger\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and distributed tracing for event flow visibility\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pipeline automation for service deployment and testing\"\n    }\n  ],\n  \"main_risk\": \"Kafka operational complexity and data retention costs grow with event volume; undersized clusters cause backpressure and event loss.\",\n  \"first_component_to_replace_at_scale\": \"Kafka\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16136,"probe_id":6001,"sample":1,"system":"event_streaming","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"API Gateway\",\n      \"service\": \"Kong\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, self-hostable gateway with authentication, rate limiting, and routing.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Apache Kafka\",\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, high-throughput event streaming backbone.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis\",\n      \"provider\": \"Redis Inc. (open source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory store for deduplication, temp state, and rate limiting.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"PostgreSQL\",\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational store for persistent event state and querying.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage for archiving large event payloads.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google (open source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Compiled, high-concurrency language for event-processing microservices.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for deploying and scaling event workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack for metrics, dashboards, and alerting.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat (open source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect identity provider for securing API endpoints.\"\n    }\n  ],\n  \"main_risk\": \"Kafka cluster maintenance and ensuring exactly-once processing under high throughput with all self-hosted components.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16084,"probe_id":6001,"sample":1,"system":"event_streaming","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-Driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage for high-throughput event processing.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for durable, distributed event streaming and log-based message ordering.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust relational storage supporting ACID compliance for critical transactional event states.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardizes deployment, scaling, and lifecycle management of containerized event processing services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Best-in-class time-series monitoring for tracking event pipeline performance and throughput.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of managing a high-performance Apache Kafka cluster at production scale.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16089,"probe_id":6001,"sample":1,"system":"event_streaming","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"golang.org\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency event processing with high concurrency\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": \"null\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Go standard library sufficient for core routing\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": \"null\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Plain handlers over HTTP suffice for event ingestion\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Strimzi\",\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Decouples producers and consumers at scale\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"postgresql.org\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong consistency and change data capture\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"redis.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency reads for repeated event patterns\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"elastic.co\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and structured search over events\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"min.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible durable object storage\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"ORY Hydra\",\n      \"service\": null,\n      \"provider\": \"www.ory.sh\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OAuth2/OIDC provider must be self-hosted\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"kubeadm\",\n      \"provider\": \"kubernetes.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard container orchestration platform\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Tekton\",\n      \"service\": null,\n      \"provider\": \"cd.foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native Kubernetes-native pipeline tooling\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"prometheus.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and alerting stack\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"grafana.com\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified dashboards for metrics and logs\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Loki\",\n      \"service\": null,\n      \"provider\": \"grafana.com\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-efficiency log aggregation\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Bare metal servers\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Maximum control over infrastructure at scale\"\n    }\n  ],\n  \"main_risk\": \"Self-managed Kafka cluster adds operational complexity and tuning overhead.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16110,"probe_id":6001,"sample":1,"system":"event_streaming","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"event-driven streaming\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java (OpenJDK)\",\n      \"service\": null,\n      \"provider\": \"OpenJDK\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"JVM ecosystem for high-throughput stream processing clients and Flink integrations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature production features, dependency injection, and robust integration with Kafka and gRPC.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency binary RPC for high-throughput event ingress and control plane APIs.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, partitioned event log for ingestion, routing, and replay semantics.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Apache Flink\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateful stream transformations, windowing, and exactly-once processing guarantees.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational metadata, transactional state, and durable event-derived views.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency materialized state and lookups for routing decisions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible blob store for large event payloads and archive retention.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and analytical queries over event content and indices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2, user management, and fine-grained service auth support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, and self-healing for microservices and stream jobs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"On-premises servers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Constraint requires fully self-hosted open-source deployment in customer infrastructure.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metric scraping, alerting, and integration with Grafana for operational monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab Community Edition\",\n      \"service\": null,\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD, pipelines, and artifact registry for infrastructure and application delivery.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of reliably running and scaling self-hosted Kafka, Flink, and Kubernetes at production scale.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16098,"probe_id":6001,"sample":1,"system":"event_streaming","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn event-processing service that receives, transforms, and routes business events.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event streaming\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"Java\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"mature Kafka ecosystem and type safety\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Kafka Streams\",\n    \"service\": null,\n    \"provider\": \"Apache Software Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in exactly-once transform and route\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"Apache Kafka\",\n    \"service\": null,\n    \"provider\": \"Apache Software Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"durable event log with self-hostable brokers\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus\",\n    \"service\": null,\n    \"provider\": \"Cloud Native Computing Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"standard metrics collection for self-hosted stack\"\n  }],\n  \"main_risk\": \"Self-hosted Kafka requires ongoing operational expertise for scaling and recovery.\",\n  \"first_component_to_replace_at_scale\": \"none\"\n}","model_label":"Grok"},{"response_id":16102,"probe_id":6002,"sample":1,"system":"mobile_backend","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"microservices on managed containers\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"iOS and Android native\",\n      \"service\": null,\n      \"provider\": \"Apple and Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native performance and platform features required for sync and notifications\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast startup, low memory, excellent concurrency for sync and notification services\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient mobile-to-backend communication, strong typing, HTTP/2 multiplexing\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with gRPC gateway\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for third-party integrations; gRPC gateway bridges to gRPC backend\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for accounts and media metadata; managed reduces operational burden\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Firestore\",\n      \"service\": \"Firestore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Real-time sync state per device; built-in offline and real-time capabilities\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache and sync deduplication; managed for availability\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Pub/Sub\",\n      \"service\": \"Cloud Pub/Sub\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Decouples notifications, sync, and media processing; managed scaling\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Media storage with global edge caching and fine-grained access control\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket via gRPC streaming\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native gRPC streaming for low-latency sync notifications and presence\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 and JWT\",\n      \"service\": \"Firebase Auth\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Social login, MFA, and token validation; reduces custom auth complexity\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for stateless microservices; auto-scaling for sync spikes\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloud Trace, Cloud Logging, Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified instrumentation across gRPC and REST; native GCP integration\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Cloud Build\",\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native GCP integration; automatic deployment to GKE on push\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ingest events from Pub/Sub; analyze usage patterns and sync health\"\n    }\n  ],\n  \"main_risk\": \"Firestore and Cloud SQL dual-write consistency during sync conflicts requires careful transaction semantics; eventual consistency windows risk user confusion.\",\n  \"first_component_to_replace_at_scale\": \"Firestore to self-hosted etcd cluster if per-device sync state grows beyond managed limits and cost optimization becomes critical\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16173,"probe_id":6002,"sample":1,"system":"mobile_backend","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"cloud-native\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform iOS and Android from single codebase.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async I/O ideal for real-time and sync workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, scalable framework with native WebSocket and GraphQL support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": null,\n      \"provider\": \"GraphQL Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Typed schema with subscriptions enabling real-time data sync.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational store with JSONB, managed and scalable.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"In-memory cache and pub/sub for WebSocket synchronization.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples notification delivery and media processing jobs.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable storage for media uploads and delivery.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"socket.io\",\n      \"provider\": \"Socket.IO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional sync engine; scales horizontally with Redis adapter.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure, standards-based identity with social logins and tokens.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS Fargate\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container compute, no cluster management.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Amazon ECS\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Manages Fargate containers, auto-scaling, service discovery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, traces, and logs for full-stack visibility.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipeline for test, build, and deploy automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Amplitude SDK\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics for user behavior and retention insights.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Firebase Cloud Messaging\",\n      \"service\": \"Firebase Cloud Messaging\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified push notifications for iOS and Android devices.\"\n    }\n  ],\n  \"main_risk\": \"Data consistency across real-time sync, offline support, and push notifications at scale remains challenging.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16104,"probe_id":6002,"sample":1,"system":"mobile_backend","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift/Kotlin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native frameworks provide best performance for media and offline sync capabilities.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage suitable for backend services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary serialization reduces bandwidth usage for mobile sync operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance and relational integrity are mandatory for user account management.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly available and cost-effective storage for large media files.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency data access for session management and frequently requested media metadata.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Firebase Auth\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces operational overhead for secure identity management and social login integration.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for scaling containerized microservices reliably.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified tracing and metrics are critical for debugging distributed system performance.\"\n    }\n  ],\n  \"main_risk\": \"High operational complexity and cost of managing distributed state across microservices.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16108,"probe_id":6002,"sample":1,"system":"mobile_backend","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless mobile backend\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"React Native + Expo\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"cross-platform dev with strong native integration\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"event-driven async for serverless workloads\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"minimal overhead on serverless runtime\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"auto scales with Lambda and WebSockets\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora Serverless v2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"serverless RDBMS with reliable sync\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"in-memory speed with cluster persistence\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"decouple high-load async tasks\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway WebSockets\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"native pub-sub via shared connections\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"handles OAuth, MFA and token refresh\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"cheap, durable binary storage with CDN edge\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"WebAssembly\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"event-driven Node.js without infra ops\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"AWS Step Functions\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"visual workflow for durable integrations\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Amazon CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"single pane for logs, metrics, traces\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"fast builds and direct AWS deployments\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amazon Pinpoint\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"campaigns, funnels and user cohorts\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in compounds if Lambda limits are hit.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16117,"probe_id":6002,"sample":1,"system":"mobile_backend","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"aws_serverless_graphql\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single cross-platform codebase speeds delivery for consumer iOS and Android.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript (Node.js)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety, strong ecosystem for serverless Lambda and GraphQL resolvers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, opinionated structure suits GraphQL, DI, and scalable Lambda handlers.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL (with subscriptions)\",\n      \"service\": \"AWS AppSync\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed GraphQL with offline sync and real-time subscriptions for mobile.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"GraphQL subscriptions (WebSocket)\",\n      \"service\": \"AWS AppSync\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"AppSync provides built-in subscription transport and sync primitives for clients.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS Lambda (serverless compute)\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event-driven compute minimizes operational overhead for mobile-driven workloads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity, complex queries, and transactional user/account data support.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency user state, sync metadata, and scale-friendly access patterns.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session caching, rate limits, and fast presence lookups for mobile.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable background job delivery for media processing and notification fanout.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (object storage)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable media storage with lifecycle and CDN integration.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User pools, social sign-in, tokens, and secure account management out of box.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"APNs / FCM via SNS\",\n      \"service\": \"Amazon SNS (push delivery)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified push delivery orchestration to APNs and FCM through managed service.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Infrastructure as Code\",\n      \"service\": \"AWS CloudFormation / AWS CDK\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Repeatable, versioned infra deployment aligned with AWS managed services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry + Tracing\",\n      \"service\": \"Amazon CloudWatch + AWS X-Ray\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Structured logs, metrics, and traces integrated with AWS services for debugging.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native Git workflows, runners, and secrets for build and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Event analytics warehouse\",\n      \"service\": \"Amazon Redshift (ingest via Kinesis Firehose)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Centralized analytics for user behaviour, retention, and business metrics.\"\n    }\n  ],\n  \"main_risk\": \"Heavy AWS-managed serverless and AppSync choices increase vendor lock-in and can raise costs at very large scale.\",\n  \"first_component_to_replace_at_scale\": \"api\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16120,"probe_id":6002,"sample":1,"system":"mobile_backend","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"restful_backend\",\n  \"components\": [\n    {\"role\": \"backend_language\", \"technology\": \"go\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"handles concurrent sync and notifications well\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": \"rds\", \"provider\": \"aws\", \"delivery\": \"managed\", \"reason\": \"reliable storage for accounts and sync state\"},\n    {\"role\": \"object_storage\", \"technology\": \"s3\", \"service\": null, \"provider\": \"aws\", \"delivery\": \"managed\", \"reason\": \"durable scalable media files\"},\n    {\"role\": \"queue\", \"technology\": \"sqs\", \"service\": null, \"provider\": \"aws\", \"delivery\": \"managed\", \"reason\": \"async processing for notifications\"},\n    {\"role\": \"realtime\", \"technology\": \"websocket\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"live data synchronization to clients\"},\n    {\"role\": \"auth\", \"technology\": \"jwt\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"stateless secure account tokens\"}\n  ],\n  \"main_risk\": \"Self-managed websocket layer creates availability and scaling bottlenecks under load.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16124,"probe_id":6003,"sample":1,"system":"mobile_backend","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless monolith with managed services\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"Firebase SDK\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native mobile integration, zero backend overhead, free tier covers development\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development, rich ecosystem, suitable for small team velocity\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, async-native, excellent for I/O-bound mobile backends\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple stateless contract for mobile clients, no vendor lock-in\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Railway Postgres\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for accounts, modest cost, generous free tier for early stage\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Railway Redis\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage, sync state, included in Railway bundle under budget\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Notifications and media processing via shared Redis, no additional service cost\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap media storage, free tier bandwidth, proven mobile-friendly CDN integration\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sync notifications via native FastAPI WebSocket, no external service needed\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Firebase Authentication\",\n      \"service\": \"Firebase Auth\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mobile-native, social login, free tier, reduces backend auth complexity\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simple deployment, $5/month baseline, integrates seamlessly with database and Redis\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": \"Railway logs\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Included with hosting, adequate for two-person team at this scale\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git hooks\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repo, sufficient test and deploy automation for small team\"\n    }\n  ],\n  \"main_risk\": \"Two engineers cannot scale operational support if system gains users; plan migration path before product-market fit.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16175,"probe_id":6003,"sample":1,"system":"mobile_backend","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"serverless baaS\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"cross-platform framework\",\n      \"service\": \"Flutter\",\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"single codebase for iOS and Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"Node.js Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"runtime for Firebase Cloud Functions\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP functions\",\n      \"service\": \"Firebase Cloud Functions\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"serverless API for auth hooks, sync, media processing\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"NoSQL document database\",\n      \"service\": \"Firebase Firestore\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"serverless, realtime sync, fits free tier\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"blob storage\",\n      \"service\": \"Firebase Cloud Storage\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"store and serve user-generated media\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"identity platform\",\n      \"service\": \"Firebase Authentication\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"email/password, social login, zero ops\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"push notification service\",\n      \"service\": \"Firebase Cloud Messaging\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"deliver push notifications\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"logging\",\n      \"service\": \"Firebase Cloud Logging\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"functions logs and basic monitoring\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"free CI/CD for mobile builds and Firebase deploy\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Firebase Analytics\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"track user engagement and retention\"\n    }\n  ],\n  \"main_risk\": \"Free tier limits may be exceeded if MAU spikes, but cost remains manageable under $200.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16127,"probe_id":6003,"sample":1,"system":"mobile_backend","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless monolith\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android saves limited engineering team time.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides type safety and shared code capabilities with the mobile frontend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified framework handles API routes and serverless deployment with zero configuration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Offers integrated auth, database, and realtime capabilities within a generous free tier.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees keep costs predictable for media-heavy application features.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"GoTrue\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reduces authentication implementation time allowing focus on core product features.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides essential error tracking and performance monitoring for small teams.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to the Supabase ecosystem may complicate future migrations if scaling needs shift significantly.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16137,"probe_id":6003,"sample":1,"system":"mobile_backend","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless mobile backend\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform with large ecosystem and low marginal cost.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast prototyping and alignment with serverless ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, async-native, and minimal boilerplate.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/JSON\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"FastAPI includes ASGI server for HTTP at no extra cost.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless Postgres with branching at $0/month for small usage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers forecasted load with low latency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier supports non-critical async tasks reliably.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"12-month free tier covers startup media volume.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"FastAPI native WebSocket support\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Built into FastAPI; no extra services needed.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free email/password and OAuth providers up to limits.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"serverless\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global edge, zero cold starts, free tier covers dev/staging.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"logging, metrics\",\n      \"service\": \"Fly.io logs, Upstash Redis metrics\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in to platforms with no added cost above free tiers.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; generous private repo minutes.\"\n    }\n  ],\n  \"main_risk\": \"Neon and Upstash free tiers may throttle under unexpected spikes.\",\n  \"first_component_to_replace_at_scale\": \"Neon primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16140,"probe_id":6003,"sample":1,"system":"mobile_backend","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"serverless-firebase-mobile-backend\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Expo\",\n      \"provider\": \"Expo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android reduces engineering effort.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"JavaScript/TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native support in Firebase Cloud Functions and large ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"serverless functions\",\n      \"service\": \"Cloud Functions for Firebase\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Minimizes ops and fits a two-engineer team and budget.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": \"Cloud Functions (HTTP)\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simple HTTP endpoints via Functions, minimal infrastructure required.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"document database\",\n      \"service\": \"Cloud Firestore\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Realtime listeners, offline sync, and generous free tier for startups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"realtime document sync\",\n      \"service\": \"Cloud Firestore realtime listeners\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Built-in realtime sync avoids separate websocket infrastructure.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / token-based identity\",\n      \"service\": \"Firebase Authentication\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Prebuilt providers, secure defaults, and minimal implementation effort.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"object storage\",\n      \"service\": \"Google Cloud Storage (via Firebase Storage)\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Integrated with Firebase, suitable for user media with low initial cost.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"push notification service\",\n      \"service\": \"Firebase Cloud Messaging\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free cross-platform push with deep Firebase integration.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"static hosting & CDN\",\n      \"service\": \"Firebase Hosting\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast CDN for app assets and web endpoints, low maintenance.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"cloud logging & monitoring\",\n      \"service\": \"Google Cloud Logging & Monitoring\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Integrated logs, metrics, and alerting within Firebase/GCP ecosystem.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD service\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier and simple workflows for building, testing, deploying.\"\n    }\n  ],\n  \"main_risk\": \"Heavy media or large user activity can quickly increase Firebase billing beyond budget.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16145,"probe_id":6003,"sample":1,"system":"mobile_backend","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"firebase serverless\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"flutter\",\n    \"service\": null,\n    \"provider\": \"google\",\n    \"delivery\": \"client\",\n    \"reason\": \"single codebase for iOS and Android\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"firestore\",\n    \"service\": \"firebase\",\n    \"provider\": \"google\",\n    \"delivery\": \"saas\",\n    \"reason\": \"managed realtime sync and queries\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"firebase auth\",\n    \"service\": \"firebase\",\n    \"provider\": \"google\",\n    \"delivery\": \"saas\",\n    \"reason\": \"integrated user accounts and tokens\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"cloud storage\",\n    \"service\": \"firebase\",\n    \"provider\": \"google\",\n    \"delivery\": \"saas\",\n    \"reason\": \"media upload and serving\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"firestore\",\n    \"service\": \"firebase\",\n    \"provider\": \"google\",\n    \"delivery\": \"saas\",\n    \"reason\": \"live data sync for mobile clients\"\n  }],\n  \"main_risk\": \"all services from single vendor creates lock-in\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16152,"probe_id":6004,"sample":1,"system":"mobile_backend","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices on Kubernetes with managed databases\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"iOS and Android native\",\n      \"provider\": \"Apple and Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native performance and platform integration required for consumer app\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency handling for 100k concurrent users, fast startup\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Protocol buffers reduce payload size; HTTP/2 multiplexing handles scale\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for mobile clients; HTTP/2 reduces latency and bandwidth\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for accounts; managed handles failover and scaling\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Firestore\",\n      \"service\": \"Firestore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Document store for sync state; real-time listeners reduce polling\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session and sync metadata caching; reduces database load at scale\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Pub/Sub\",\n      \"service\": \"Cloud Pub/Sub\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples notification dispatch and media processing; scales to millions\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Cloud Storage\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Media files with CDN integration; automatic scaling handles peak uploads\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time sync notifications; backed by Pub/Sub for message routing\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Cloud Identity Platform\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stateless tokens scale; managed service handles multi-factor authentication\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling handles 100k concurrent users; managed plane reduces ops\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native service discovery and load balancing for microservices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Google Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Traces sync/notification latency; metrics alert on scale thresholds\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Cloud Build\",\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native GKE integration; container registry included\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Query user behavior at scale; Pub/Sub streaming inserts for events\"\n    }\n  ],\n  \"main_risk\": \"Firestore consistency model may cause sync conflicts under high concurrent writes; implement application-level conflict resolution.\",\n  \"first_component_to_replace_at_scale\": \"Firestore (switch to PostgreSQL with event sourcing if write conflicts exceed acceptable thresholds)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16202,"probe_id":6004,"sample":1,"system":"mobile_backend","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"cloud-native\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"iOS & Android native apps\",\n      \"provider\": \"Apple/Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"consumer mobile app frontend\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"high concurrency, efficiency, typed codebase\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight, fast HTTP routing for Go\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Amazon API Gateway\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"managed REST API, handles 100k concurrent\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"AWS AppSync\",\n      \"service\": \"AWS AppSync\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"managed GraphQL subscriptions for real-time sync\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Amazon Cognito\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"scalable user pools, JWT, integrates with API Gateway\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"relational ACID for accounts, sync state\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"sub-ms caching, session store, pub/sub for notifications\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"decouples async tasks: media processing, push dispatch\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"durable, scalable storage for user media\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Amazon CloudFront\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"global CDN for fast media delivery\"\n    },\n    {\n      \"role\": \"notifications\",\n      \"technology\": \"Amazon SNS\",\n      \"service\": \"Amazon SNS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"cross-platform push to APNs and FCM\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS Fargate\",\n      \"service\": \"Amazon ECS on Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"serverless container runtime, auto-scales backend\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"unified APM, logs, and metrics for all services\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub (Microsoft)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"automated build, test, and deploy to ECS\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Amplitude\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"product analytics for mobile user behavior\"\n    }\n  ],\n  \"main_risk\": \"Managing data sync consistency at scale across devices with real-time updates may lead to conflicts and race conditions.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16153,"probe_id":6004,"sample":1,"system":"mobile_backend","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift / Kotlin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native frameworks provide highest performance for media processing and smooth sync UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Go's concurrency model handles 100k concurrent requests efficiently with low memory overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Binary serialization reduces latency and bandwidth usage for mobile sync operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and horizontal read scaling are essential for user account management.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond latency for session state and frequently accessed sync metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Highly scalable, cost-effective storage for high-volume media assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"AppSync\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed service handles complex connection state for millions of synchronization events.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Outsourced identity management reduces security liability and accelerates user onboarding.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized abstraction for scaling stateless services to support large user concurrency.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring is critical for identifying bottlenecks across a distributed system.\"\n    }\n  ],\n  \"main_risk\": \"Database connection exhaustion during peak load spikes from concurrent mobile clients.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16158,"probe_id":6004,"sample":1,"system":"mobile_backend","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless microservices with CDN\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"React Native\",\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app widely adopted.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast development, strong backend ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"FastAPI\",\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High performance async Python framework.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fully managed, scales to 10M users.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational, ACID compliant, scales horizontally.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low latency, in-memory data store for sessions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Redis with auto failover.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, durable message queue for asynch tasks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable search engine for logs and user content.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable object storage for media.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Amazon SNS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pub/sub for push notifications to mobile.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable OAuth2/OIDC identity provider.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless compute scales to 100k concurrent.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"AWS Step Functions\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed workflow orchestration for backend tasks.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Amazon CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Centralized logs, metrics, and alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast, secure CI/CD for mobile and backend.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amazon Pinpoint\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User analytics and event tracking.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to AWS increases operational dependency.\",\n  \"first_component_to_replace_at_scale\": \"Amazon Cognito\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16164,"probe_id":6004,"sample":1,"system":"mobile_backend","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-managed microservices (AWS)\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"iOS and Android native\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Native apps provide best performance, offline support, and platform push integration.\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Low latency, efficient concurrency, and small container footprint for high concurrency.\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Gin\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Minimal, performant HTTP framework idiomatic to Go for microservices.\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"HTTP/JSON (REST)\",\n    \"service\": \"Amazon API Gateway\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Managed API surface with throttling, auth integration, and WebSocket support.\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"Docker containers\",\n    \"service\": \"Amazon ECS on Fargate\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Serverless containers reduce ops, scale to hundreds of thousands concurrent tasks.\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"container orchestration (ECS)\",\n    \"service\": \"Amazon ECS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Tight integration with Fargate, IAM, and AWS networking.\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Amazon Aurora (PostgreSQL-compatible)\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Relational consistency for accounts and metadata with read replicas and autoscaling.\"\n  }, {\n    \"role\": \"secondary_database\",\n    \"technology\": \"NoSQL key-value store\",\n    \"service\": \"Amazon DynamoDB\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Low-latency high-throughput storage for user sync, counters, and sharded access patterns.\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"Amazon ElastiCache for Redis\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Fast session, hotspot caching, and pub/sub for ephemeral coordination.\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"distributed message queue\",\n    \"service\": \"Amazon SQS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Simple, durable at-scale queue for background jobs and retryable workflows.\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3-compatible object storage\",\n    \"service\": \"Amazon S3\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Durable, cost-effective storage for user media with CDN integration.\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket\",\n    \"service\": \"Amazon API Gateway WebSocket\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Scalable managed WebSocket endpoint for presence and real-time sync.\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"OpenID Connect / OAuth 2.0\",\n    \"service\": \"Amazon Cognito\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Managed user pools, federation, tokens, and MFA for mobile apps.\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"metrics, logs, tracing\",\n    \"service\": \"Amazon CloudWatch + AWS X-Ray\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Centralized logs, metrics, and traces integrated with AWS services.\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"CI/CD\",\n    \"service\": \"GitHub Actions\",\n    \"provider\": \"GitHub\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Mature SaaS CI with wide ecosystem and container/image support.\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": \"data warehouse\",\n    \"service\": \"Amazon Redshift\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Centralized analytics for event aggregation and business reporting at scale.\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"search engine (Lucene)\",\n    \"service\": \"Amazon OpenSearch Service\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Text and metadata search with scalable indexing and query capabilities.\"\n  }, {\n    \"role\": \"other\",\n    \"technology\": \"push notification gateway\",\n    \"service\": \"Amazon SNS (Mobile Push)\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Unified mobile push delivery to APNs and FCM with topic fanout.\"\n  }],\n  \"main_risk\": \"Heavy reliance on AWS managed services creates vendor lock-in and potential cost escalation at extreme scale.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16168,"probe_id":6004,"sample":1,"system":"mobile_backend","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"aws microservices\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"flutter\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"cross-platform mobile development\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high concurrency per core\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"rest\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple CRUD and sync endpoints\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID accounts and sync state\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"low-latency session and feed data\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"sqs\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable notification and job dispatch\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"durable media blob storage\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"managed user accounts and tokens\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"ecs\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"container hosting with autoscaling\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"eks\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"container orchestration at scale\"\n  }],\n  \"main_risk\": \"Hot partition contention in primary database under 100k concurrent syncs.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16184,"probe_id":6005,"sample":1,"system":"mobile_backend","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Containerized microservices with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift and Kotlin\",\n      \"service\": null,\n      \"provider\": \"Apple and Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native platforms for iOS and Android performance\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for sync and notification services\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"Go community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, fast REST API framework for microservices\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with gRPC internal\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for mobile clients, gRPC for internal service communication\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational data, ACID compliance, EU-hosted managed service\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput sync state and user preferences\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache Redis\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session caching and rate limiting for API\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decoupled notifications, media processing, sync events\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Not required for account, sync, notifications, and media system\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Media file storage with EU data residency guarantee\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time sync and notification delivery via Echo\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT with OAuth2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless authentication, mobile-friendly token-based system\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with EU compliance and managed control plane\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS EU\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container and service orchestration for microservices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Loki, Jaeger\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack, self-hosted in EU for data sensitivity\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-headquartered provider with data residency compliance options\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"event-based analytics\",\n      \"service\": \"Plausible\",\n      \"provider\": \"Plausible\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based, privacy-first analytics without personal data\"\n    }\n  ],\n  \"main_risk\": \"Kafka cluster scaling and stateful service consistency during high-volume notification delivery peaks.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16260,"probe_id":6005,"sample":1,"system":"mobile_backend","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular monolith with async workers\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient, statically typed language for APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API style, easy to consume.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational DB, EU-based managed service.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caching and session store, EU managed.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Aiven for RabbitMQ\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Async job processing, EU managed.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time sync and live updates.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based object storage for media.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JSON Web Tokens\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless authentication within backend.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Scaleway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU cloud provider.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration in EU.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Grafana, Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Logs, metrics, tracing, data stays in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab CI/CD\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European provider, integrated pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-focused analytics, EU-based.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"FCM, APNs\",\n      \"service\": \"Firebase Cloud Messaging, Apple Push Notification service\",\n      \"provider\": \"Google, Apple\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Essential for mobile push notifications.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on US-based push notification services (FCM/APNs) may conflict with EU data sovereignty goals.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework\"\n}","model_label":"DeepSeek"},{"response_id":16183,"probe_id":6005,"sample":1,"system":"mobile_backend","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift\",\n      \"service\": null,\n      \"provider\": \"Apple\",\n      \"delivery\": \"client\",\n      \"reason\": \"Optimal performance and deep integration for consumer iOS experiences.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low memory footprint for efficient sync and notification handling.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary serialization reduces bandwidth usage for mobile synchronization.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational data storage with strict EU region enforcement capabilities.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European cloud provider ensuring data residency compliance for media assets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Self-sovereign identity management keeps authentication data within EU borders.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container orchestration hosted entirely within European data centers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standardized metrics and dashboards with EU-based data hosting options.\"\n    }\n  ],\n  \"main_risk\": \"Scaling real-time sync performance while strictly maintaining data residency within EU jurisdictions.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16192,"probe_id":6005,"sample":1,"system":"mobile_backend","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Mobile backend in EU with managed services\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Expo\",\n      \"provider\": \"Expo Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform UX at scale with rapid updates.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich web stack, async support, strong libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance async endpoints, OpenAPI first.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Server\",\n      \"provider\": \"Apollo Graph Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible data fetching for mobile clients.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0 Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency, SOC2, GDPR compliant.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU operated, serverless, fast sync support.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU region, serverless, low-latency cache.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Same provider reduces ops friction.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"At-most-once async job processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Avoids extra service for simple text search.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway SAS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based storage, S3-compatible, cost-effective.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Pusher Channels\",\n      \"provider\": \"Pusher Ltd\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency push to mobile clients.\"\n    },\n    {\n      \"role\": \"notifications\",\n      \"technology\": \"APNs / FCM\",\n      \"service\": \"OneSignal\",\n      \"provider\": \"OneSignal Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified EU push notification solution.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global edge network, EU region support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose (dev), Kubernetes (prod)\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight dev, proven scaling prod.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU region logs/metrics with open stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in runners, 2000 EU minutes free.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog Ltd\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Self-hostable EU instance for privacy.\"\n    }\n  ],\n  \"main_risk\": \"Vendors failing EU data residency promises causing compliance disruption.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16206,"probe_id":6005,"sample":1,"system":"mobile_backend","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-microservices\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android reduces delivery and maintenance effort.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Kotlin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concise JVM language with strong tooling and interoperability for backend services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem, production-proven for Kotlin microservices and integrations.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, well-supported API contract for mobile synchronization and third-party integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL (EU region)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Postgres in EU with backups, high availability, and GDPR-friendly hosting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis (EU region)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and ephemeral session storage, managed in EU for compliance.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Kafka (EU region)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event streaming for sync, reliably managed within EU boundaries.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted OpenSearch on OVH lets us keep indexed personal data inside EU.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (compatible)\",\n      \"service\": \"OVHcloud Object Storage (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted S3-compatible storage for user media and GDPR compliance.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (pub/sub)\",\n      \"service\": \"Ably (EU data residency)\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed realtime with EU residency for presence and low-latency messaging.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak (OpenID Connect)\",\n      \"service\": null,\n      \"provider\": \"Keycloak project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted OIDC/OpenID solution keeps identity data and flows inside EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VMs / Containers\",\n      \"service\": \"OVHcloud Public Cloud (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud provider with EU data locality and managed networking.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes reduces operational overhead while keeping workloads in EU.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source monitoring stack self-hosted to control telemetry storage and residency.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted GitLab CI in EU for code, pipelines, and artifact residency.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics self-hosted in EU to retain user event data under control.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"APNs/FCM (push protocols)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Server-side push sender runs in EU before contacting platform push gateways.\"\n    }\n  ],\n  \"main_risk\": \"Cross-provider complexity and SaaS dependencies increase operational overhead and potential compliance gaps.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16197,"probe_id":6005,"sample":1,"system":"mobile_backend","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"flutter\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"cross-platform code reuse\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast development with type safety\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in auth and admin\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"rest\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple mobile integration\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"ovhcloud\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu data residency compliance\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"object storage\",\n    \"provider\": \"ovhcloud\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu media storage\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"django auth\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"account management\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"sync and notification jobs\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"ovhcloud\",\n    \"delivery\": \"managed\",\n    \"reason\": \"eu infrastructure control\"\n  }],\n  \"main_risk\": \"OVH managed services limit global redundancy options while meeting strict EU residency.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16211,"probe_id":6006,"sample":1,"system":"mobile_backend","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Containerized microservices with event-driven sync\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native iOS/Android apps consume REST+WebSocket APIs\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrent request handling, small binary footprint, fast startup\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework, middleware support, minimal overhead\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for CRUD, WebSocket for real-time sync notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, stateless, no external dependency required\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance, JSON support, mature sync semantics\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session store, rate limiting, real-time WebSocket state\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable async notifications, account events, media processing\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, open source, self-hostable media storage\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser/mobile support, built into Echo\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, self-healing for production\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, logs; fully open source stack\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hostable, integrated pipeline, no external SaaS lock-in\"\n    }\n  ],\n  \"main_risk\": \"Network partition during sync causes divergent state; mitigate with vector clocks and conflict-free replicated data types.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ to Apache Kafka for higher message throughput and retention\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16285,"probe_id":6006,"sample":1,"system":"mobile_backend","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for consumers.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Go (Gin + gorilla/websocket)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles REST, WebSocket sync, business logic.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted identity and access management.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational store for accounts and sync state.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session cache, rate limiting, hot data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message queue for async notifications and sync events.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object store for user media uploads.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for deployment and scaling.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed cluster hosting all backend services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and visualization.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted pipelines for testing and deployment.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of self-hosting all services including Kubernetes and databases at scale without a managed layer.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16212,"probe_id":6006,"sample":1,"system":"mobile_backend","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Unified cross-platform development with high performance for consumer mobile apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent concurrency support for handling high-volume sync and notification workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimalist, high-performance web framework capable of low-latency API responses.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust, relational, and reliable storage for user account and sync metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Essential for high-speed session management and caching frequently accessed sync data.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, performant object storage for managing user-uploaded media files.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Centrifugo\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles persistent WebSocket connections efficiently for real-time notifications and sync triggers.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for managing scalable containerized microservices and service discovery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard metrics collection and monitoring for reliable production systems.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting stateful services like PostgreSQL and MinIO creates significant operational complexity for data durability and backups.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16221,"probe_id":6006,"sample":1,"system":"mobile_backend","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": \"Google Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform SDK with strong open-source community\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Golang Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, type-safe, low GC overhead for sync workloads\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Evan Phoenix\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework; trivial to extend\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL-Yoga\",\n      \"service\": null,\n      \"provider\": \"GraphQL Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single endpoint for mobile sync, flexible queries\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Transaction-safe; mature open-source relational store\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency cache and pub/sub for real-time notifications\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Same runtime as notifications, minimal ops overhead\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"Synadia\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ultra-light messaging server, NATS Streaming for sync\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible open-source storage for user media\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS Streaming\",\n      \"service\": null,\n      \"provider\": \"Synadia\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Publish/subscribe over same NATS cluster for events\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"ory/hydra\",\n      \"service\": null,\n      \"provider\": \"ORY GmbH\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source OAuth2/OIDC provider with PKCE flow\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, open base OS across bare-metal or cloud VMs\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"systemd\",\n      \"service\": null,\n      \"provider\": \"Freedesktop.org\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Battle-tested process manager, no extra layers\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"De-facto open-source metrics collector and alerting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Tekton\",\n      \"service\": null,\n      \"provider\": \"Tekton Authors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native pipelines maintain release velocity\"\n    }\n  ],\n  \"main_risk\": \"Loss of Redis pub/sub message durability before NATS Streaming lag is resolved.\",\n  \"first_component_to_replace_at_scale\": \"NATS\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16236,"probe_id":6006,"sample":1,"system":"mobile_backend","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"self-hosted cloud-native mobile backend\",\n  \"components\": [\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native performance with single codebase.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, concurrent, small binary footprint for backend services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal high-performance HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mobile-friendly, well-documented HTTP/JSON API contract.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID relational store for accounts, sync metadata, transactions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching and ephemeral state (sessions, rate limits).\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable high-throughput event streaming and async processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search and analytics with open-source compatibility.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, high-performance media storage for self-hosting.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Centrifugo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket/pubsub server tailored for mobile realtime sync.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect/OAuth2 identity provider with account management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VMs (Ubuntu)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, well-understood OS for running Kubernetes nodes and services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for deployments, scaling, and service resilience.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection, alerting, and instrumentation for platform health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated source, CI/CD, and runners in a self-hostable package.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics that can be self-hosted for privacy compliance.\"\n    }\n  ],\n  \"main_risk\": \"High operational burden of running and maintaining many self-hosted, stateful services at scale.\",\n  \"first_component_to_replace_at_scale\": \"Apache Kafka\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16234,"probe_id":6006,"sample":1,"system":"mobile_backend","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA consumer mobile application's backend with accounts, sync, notifications, and media.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [\n    {\"role\": \"mobile\", \"technology\": \"flutter\", \"service\": null, \"provider\": \"google\", \"delivery\": \"client\", \"reason\": \"open source cross-platform sdk\"},\n    {\"role\": \"backend_framework\", \"technology\": \"django\", \"service\": null, \"provider\": \"django\", \"delivery\": \"self_hosted\", \"reason\": \"batteries-included open source framework\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": null, \"provider\": \"postgresql\", \"delivery\": \"self_hosted\", \"reason\": \"acid store for accounts and sync\"},\n    {\"role\": \"cache\", \"technology\": \"redis\", \"service\": null, \"provider\": \"redis\", \"delivery\": \"self_hosted\", \"reason\": \"fast session and state cache\"},\n    {\"role\": \"queue\", \"technology\": \"celery\", \"service\": null, \"provider\": \"celery\", \"delivery\": \"self_hosted\", \"reason\": \"background jobs for notifications\"},\n    {\"role\": \"object_storage\", \"technology\": \"minio\", \"service\": null, \"provider\": \"minio\", \"delivery\": \"self_hosted\", \"reason\": \"s3 api for user media\"},\n    {\"role\": \"auth\", \"technology\": \"django\", \"service\": null, \"provider\": \"django\", \"delivery\": \"self_hosted\", \"reason\": \"built-in user management\"}\n  ],\n  \"main_risk\": \"Operational burden of self-hosting all components at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16242,"probe_id":6007,"sample":1,"system":"identity_service","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed Identity Platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich interactive UI for login flows, MFA challenges, session management.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, minimal latency, efficient resource use for auth workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http with custom middleware\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, standard library sufficiency for OAuth2/OIDC, SAML protocols.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenID Connect and SAML 2.0\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard federated identity protocols; client-agnostic integration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"managed PostgreSQL\",\n      \"provider\": \"AWS RDS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for identity records, audit logs, session state; mature ecosystem.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"managed Redis\",\n      \"provider\": \"AWS ElastiCache\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond session lookups, token blacklists, rate limiting for login attempts.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"managed Kafka\",\n      \"provider\": \"AWS MSK\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable audit event streaming; decouples audit logging from critical path.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"managed Elasticsearch\",\n      \"provider\": \"AWS OpenSearch\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text audit log search, compliance reporting, forensic analysis capabilities.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry with Prometheus and Jaeger\",\n      \"service\": \"managed observability\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, traces, logs; critical for security audit trail integrity verification.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-zone HA, horizontal scaling for traffic spikes, declarative configuration.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"SaaS\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in security scanning, compliance audit trails, role-based pipeline controls.\"\n    }\n  ],\n  \"main_risk\": \"Compromise of session tokens in cache or auth service directly exposes all downstream systems; enforce encryption-in-transit, RBAC, and continuous intrusion detection.\",\n  \"first_component_to_replace_at_scale\": \"cache layer—migrate to dedicated Hardware Security Module or encrypted store if per-user session volume exceeds 10M concurrent.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16288,"probe_id":6007,"sample":1,"system":"identity_service","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"service-oriented\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Hosted login, consent, and MFA enrollment pages.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"NGINX\",\n      \"service\": \"NGINX\",\n      \"provider\": \"NGINX, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"TLS termination, rate limiting, and reverse proxy to identity backend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and performance for auth endpoints.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for REST and OIDC handlers.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for user accounts, credentials, and sessions.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Store, search, and retain audit events with full-text queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session token caching and distributed rate-limiting counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable async delivery of audit events and outbound notifications.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cloud infrastructure with compute, networking, and managed services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for auto-scaling and zero-downtime deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection, dashboards, and alerting for auth service.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated test, build, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Vault\",\n      \"service\": \"Vault\",\n      \"provider\": \"HashiCorp\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Encryption keys, MFA secrets, and dynamic database credentials.\"\n    }\n  ],\n  \"main_risk\": \"Compromise of the central identity service would grant unauthorized access to all integrated applications.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16244,"probe_id":6007,"sample":1,"system":"identity_service","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low latency for authentication request patterns.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for critical identity state and session integrity.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond access for active session validation.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex MFA compliance and global threat intelligence.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized lifecycle management and automated scaling for services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive visibility into service health and identity-specific audit logs.\"\n    }\n  ],\n  \"main_risk\": \"Centralizing authentication creates a single point of failure that could render all downstream systems inaccessible.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"Gemini (lite)"},{"response_id":16251,"probe_id":6007,"sample":1,"system":"identity_service","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"cloud-native identity platform\",\n  \"components\": [\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed OIDC provider with MFA and audit logs.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable in-memory store for sessions and frequent queries.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency, JSON support, and auditable via triggers.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput event streaming for audit and async workflows.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Cloud provider’s reliable compute foundation.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, and tracing for audits and debugging.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with GitHub repositories and Kubernetes.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to SaaS auth platform increases dependency on third-party uptime.\",\n  \"first_component_to_replace_at_scale\": \"Auth\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16255,"probe_id":6007,"sample":1,"system":"identity_service","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"centralized-identity-service\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast static hosting with global CDN and preview deployments.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performance and simple concurrency for identity workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (JSON) and OpenID Connect management endpoints\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Deterministic APIs for SSO, sessions, and administrative actions.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0 (Okta)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature SSO, MFA, session management, and compliance features out-of-the-box.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational, ACID storage for user records and auditable trails.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session caching and rate-limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, serverless background processing for event and audit pipelines.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Immutable storage for audit exports, logs, and backups.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and analytics over audit logs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Containers (Docker)\",\n      \"service\": \"Amazon ECS with Fargate\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers reduce operational overhead and scale reliably.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"ECS\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native orchestration for Fargate deployments and task management.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, traces, and logs with managed dashboards and alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD workflows, secrets, and code-hosting integration.\"\n    }\n  ],\n  \"main_risk\": \"Relying on Auth0 SaaS creates cost growth and vendor lock-in, requiring complex migration if scaling demands change.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16259,"probe_id":6007,"sample":1,"system":"identity_service","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"central_auth\",\n  \"components\": [\n    {\"role\": \"backend_language\", \"technology\": \"go\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"strong concurrency and security tooling\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"ACID transactions for identities and audits\"},\n    {\"role\": \"cache\", \"technology\": \"redis\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"low-latency session and token storage\"},\n    {\"role\": \"api\", \"technology\": \"grpc\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"efficient SSO and MFA calls\"},\n    {\"role\": \"auth\", \"technology\": \"oauth2\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"covers login SSO MFA sessions\"},\n    {\"role\": \"hosting\", \"technology\": \"kubernetes\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"standard production orchestration\"}\n  ],\n  \"main_risk\": \"Compromise or outage blocks authentication for all dependent systems.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16272,"probe_id":6008,"sample":1,"system":"identity_service","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic identity service with managed dependencies\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight SPA for login UI, minimal overhead\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development, rich auth libraries, two-engineer team efficiency\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async performance, built-in security, minimal boilerplate\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard SSO protocol, wide client support\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS free tier\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable, free tier covers first year, audit logging support\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache free tier\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage, MFA state, rate limiting within free tier\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS App Runner\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container deployment, free tier covers two engineers, no orchestration overhead\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"CloudWatch\",\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Minimal cost, audit trails critical for identity service\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public/private repos, integrated with version control\"\n    }\n  ],\n  \"main_risk\": \"Single engineer absence during incident leaves identity service unmanaged; no redundancy with two-person team.\",\n  \"first_component_to_replace_at_scale\": \"AWS App Runner—migrate to ECS or Kubernetes for multi-region, load balancing, and higher availability at scale\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16320,"probe_id":6008,"sample":1,"system":"identity_service","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"HTML/CSS/JavaScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple static login pages embedded with the backend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient, single binary, low memory footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard library reduces dependencies and deployment complexity.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"JSON over HTTP, well understood, easy to integrate.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured relational DB for identities, audit logs, ACID compliance.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Valkey\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory store for sessions, MFA tokens, fast lookups.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VPS\",\n      \"service\": null,\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cost-effective, single VM under $10/month fits budget.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple container orchestration manageable by two engineers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted metrics and logs without licensing fees.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, easy CI/CD with minimal setup.\"\n    }\n  ],\n  \"main_risk\": \"Two engineers operating self-hosted critical infrastructure may face incident response delays.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16275,"probe_id":6008,"sample":1,"system":"identity_service","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, small footprint, and built-in concurrency for identity handling.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Standard Library\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimizes dependency bloat and security attack surface for sensitive auth logic.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Managed Database\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and relational integrity are essential for user identity and security.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex MFA and compliance requirements to ensure security without overhead.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"Droplet\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, predictable pricing well within budget constraints for a two-person team.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides free-tier metrics and alerting crucial for monitoring security-sensitive authentication events.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in and cost scaling if authentication volume exceeds the free tier limits.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"Gemini (lite)"},{"response_id":16280,"probe_id":6008,"sample":1,"system":"identity_service","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless auth service\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast REST/GraphQL endpoints without ops overhead.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": \"FusionAuth\",\n      \"provider\": \"FusionAuth\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control on low-cost VM and under $200/month.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable, ACID, and cost-effective on small VM.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond session lookups with minimal memory.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VM\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High CPU per dollar for FusionAuth workloads.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, runs on every PR.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier logs, traces, and metrics for one year.\"\n    }\n  ],\n  \"main_risk\": \"Single-region VM running FusionAuth may lose data if not backed up daily.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16286,"probe_id":6008,"sample":1,"system":"identity_service","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-node self-hosted OIDC\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight SPA with strong ecosystem for admin and user flows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development and many compatible auth libraries for a small team.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, widely supported, easy to integrate OIDC libraries.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTPS (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interoperable, simple to document, and compatible with SSO clients.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"node-oidc-provider (OpenID Connect/OAuth2) + TOTP (otplib)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standards-compliant SSO and MFA using lightweight, maintainable libraries.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational audits and transactions; reliable with minimal admin overhead.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session store, rate-limiting, and counters with small memory footprint.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux (Ubuntu)\",\n      \"service\": \"DigitalOcean Droplet (s-1vcpu-1gb)\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost, predictable pricing; single small droplet fits budget year one.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Basic metrics and dashboards self-hosted to detect failures with no extra cost.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free/low-cost CI with easy integration and deploy workflows.\"\n    }\n  ],\n  \"main_risk\": \"Single small droplet is a single point of failure and limits throughput as load grows.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16287,"probe_id":6008,"sample":1,"system":"identity_service","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"self-hosted keycloak\",\n  \"components\": [{\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": \"red hat\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"free, supports SSO MFA sessions audit\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"postgresql\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"bundled, handles sessions and audits\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"vps\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"under 10 USD monthly\"\n  }],\n  \"main_risk\": \"Two engineers must handle all patching and scaling manually.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"Grok"},{"response_id":16303,"probe_id":6009,"sample":1,"system":"identity_service","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed identity platform with regional deployment\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Modern SPA for login and account management UX\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"native SDKs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Platform-native authentication handling and security\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency critical for 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient inter-service communication and session management at scale\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for federated identity and SSO\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance required for audit logs and user credentials\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL read replicas\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Scale read-heavy authentication queries without impacting writes\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage and MFA token caching for sub-millisecond latency\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable audit log streaming for compliance and forensics\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-region deployment for high availability and geographic distribution\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling and failover for unpredictable 100k concurrent load\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Jaeger\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Critical path latency tracing and real-time alerting for identity service\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment for security-sensitive changes\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-volume audit event analytics and anomaly detection\"\n    }\n  ],\n  \"main_risk\": \"Cache-database synchronization under regional failures could cause session inconsistency across 100k concurrent users.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL read replicas to sharded architecture\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16372,"probe_id":6009,"sample":1,"system":"identity_service","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven Modular Monolith (CQRS)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Zitadel Login UI\",\n      \"provider\": \"Zitadel Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Customizable login, registration, MFA pages.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Go\",\n      \"service\": \"Zitadel\",\n      \"provider\": \"Zitadel Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Central identity server with SSO, MFA, event-sourced audit trail.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User accounts, grants, session metadata with high connection scaling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"High-ingest analytical store for immutable audit events.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Distributed session cache and rate-limiting counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Amazon MQ for RabbitMQ\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous delivery of OTP emails/SMS and event publishing.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Compute, networking, and managed services foundation.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container platform for Zitadel and utilities.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Loki, Tempo\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and traces across all components.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and GitOps deployment to EKS.\"\n    }\n  ],\n  \"main_risk\": \"Under sustained 100k concurrent logins, the PostgreSQL primary may become a write bottleneck requiring careful pooling and eventual vertical sharding.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16305,"probe_id":6009,"sample":1,"system":"identity_service","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Superior concurrency handling for high-throughput authentication flows.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Standard library\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Minimalistic approach ensures maximum control over security primitives and latency.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity is mandatory for identity and session data records.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond access for session validation at high concurrency.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC/OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces risk in managing complex MFA, identity standards, and compliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for orchestrating massive compute scale efficiently.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Essential for tracing authentication failure bottlenecks in distributed systems.\"\n    }\n  ],\n  \"main_risk\": \"High reliance on an external SaaS provider for identity creates a single point of failure for system access.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"Gemini (lite)"},{"response_id":16309,"probe_id":6009,"sample":1,"system":"identity_service","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"centralized identity platform\",\n  \"components\": [\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Battle-tested SaaS for identity without reinventing the wheel.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond read path for tokens and sessions at scale.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational consistency for user data and ACID transactions.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Auth0 API v2\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Auth0 API already exposes login, SSO, MFA endpoints.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Single pane of glass for logs, metrics, traces across Auth0 and own stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Turnkey pipelines that match our repo and scale to 10M users.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Global footprint matches 10M monthly active users across regions.\"\n    },\n    {\n      \"role\": \"other\",\n      \"role\": \"audit_log\",\n      \"technology\": null,\n      \"service\": \"AWS CloudTrail\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Immutable, tamper-proof logs required for compliance and forensics.\"\n    }\n  ],\n  \"main_risk\": \"Lock-in and cost spiral if Auth0 pricing jumps at 10M MAUs.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16326,"probe_id":6009,"sample":1,"system":"identity_service","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes_microservices_auth_platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast client rendering and wide ecosystem for SSO/OIDC flows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, small memory footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with good performance and middleware.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP API / API Gateway\",\n      \"service\": \"Amazon API Gateway (HTTP)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed edge gateway, throttling, auth integration, TLS termination.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth 2.0\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak Project / Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature OIDC/OAuth server with SSO, MFA, sessions, and audit hooks.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional integrity, strong relational schema, read-replica scaling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"NoSQL (Dynamo-style)\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput, low-latency writes for audit/event storage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage, rate limiting, and fast token lookups.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable audit/event streaming and decoupled async processing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and analytics for audit logs and admin UI.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (object store)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for backups, exported logs, and large artifacts.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Push notifications for MFA and session state updates.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud (IaaS/PaaS)\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global regions, managed services, and compliance options.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, autoscaling, and multi-tenant isolation.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Amazon Managed Service for Prometheus and Amazon Managed Grafana\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, dashboards and alerting for reliability and incident response.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline automation, secrets, and integration with repo and deploy.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Columnar data warehouse\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Behavioral and security analytics at scale from logs and events.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting Keycloak and managing stateful systems increases operational complexity and may bottleneck at very high scale.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16323,"probe_id":6009,"sample":1,"system":"identity_service","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"centralized IdP\",\n  \"components\": [{\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"Keycloak\",\n    \"provider\": \"Red Hat\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"mature open-source SSO MFA sessions audit\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID store for users credentials audits\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"low-latency session token storage\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": \"Apache\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable audit event streaming\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"Cloud Native Computing Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"horizontal scaling and failover\"\n  }],\n  \"main_risk\": \"Keycloak becomes bottleneck without aggressive horizontal replication and connection pooling.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16335,"probe_id":6010,"sample":1,"system":"identity_service","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Centralized identity platform with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modern SPA for login, MFA, session management UIs\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature Java framework for enterprise identity workflows\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenID Connect and SAML 2.0\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard protocols for SSO and federation\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational DB for user credentials, sessions, audit logs\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast session and token caching, MFA state management\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based Kubernetes provider, GDPR compliant, cost-effective\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"ELK Stack\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Elasticsearch for audit logs, Logstash/Kibana for compliance visibility\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option, integrated pipeline for identity service deployments\"\n    }\n  ],\n  \"main_risk\": \"Credential compromise or session hijacking could grant attackers broad SSO access across all federated applications.\",\n  \"first_component_to_replace_at_scale\": \"Redis cache—move to distributed session store or managed cache service for HA and failover\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16414,"probe_id":6010,"sample":1,"system":"identity_service","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"OIDC Identity Service\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Login pages, MFA setup, account management UI, served as static assets from object storage.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary runtime for modular monolith identity service.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides dependency injection, security filters, OIDC support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Spring Security OAuth2/OIDC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Exposes OIDC endpoints for authentication, token exchange, session management.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"OVHcloud Managed PostgreSQL\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational store for user profiles, credentials, sessions, audit metadata; EU-hosted.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Aiven for OpenSearch\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Searchable append-only audit log storage with full-text query; EU-managed.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Distributed cache for session tokens to reduce authentication latency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous job processing for email notifications and audit indexing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"OVHcloud Object Storage\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores static frontend assets and backups, EU region.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European managed Kubernetes platform ensuring workload and data residence.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards self-hosted on EU cluster to avoid data export.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab B.V.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed CI/CD on EU infrastructure for compliance and data control.\"\n    }\n  ],\n  \"main_risk\": \"Single-region EU deployment may cause latency for non-European users and depends on European provider scalability.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16336,"probe_id":6010,"sample":1,"system":"identity_service","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservice\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong performance, static binaries, and excellent built-in concurrency for identity handling.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimalist framework providing high-throughput routing necessary for authentication services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for identity integrity with secure EU region data residency options.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC/OAuth2\",\n      \"service\": \"Hydra\",\n      \"provider\": \"Ory\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven open-source implementation for secure SSO and OIDC compliance without vendor lock-in.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration with strict control over EU-only node pools.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Powerful audit tracking and monitoring with clear EU-based data hosting capabilities.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Google Cloud Platform\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Robust infrastructure presence in multiple EU regions to satisfy data residency requirements.\"\n    }\n  ],\n  \"main_risk\": \"Improper configuration of identity tokens or session lifecycle management leading to unauthorized system access.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16341,"probe_id":6010,"sample":1,"system":"identity_service","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"centralized identity platform\",\n  \"components\": [\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency, built-in SSO/MFA, audit logs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Crunchy Data\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Open-source in EU, strong compliance features\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis Enterprise\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session handling with EU hosting\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP\",\n      \"provider\": \"84codes\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based, reliable async message delivery\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU data centers, strong security/compliance\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Terraform\",\n      \"service\": null,\n      \"provider\": \"HashiCorp\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Infrastructure-as-code for repeatable EU deployments\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based metrics/logs with long-term retention\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU runner option, integrates with infra-as-code\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to Auth0 for core identity management\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16360,"probe_id":6010,"sample":1,"system":"identity_service","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"identity_platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Static site hosted on OVHcloud Object Storage + CDN\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted static UI with low latency and EU data residency.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature, strong ecosystem and Keycloak integration.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Quarkus\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-memory, fast startup for cloud-native Java services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenID Connect / OAuth 2.0\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standards-based SSO, MFA, and token flows.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed EU PostgreSQL with backups and SLA.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast session caching with EU residency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka (EU)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event log for sessions and audit streams.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Self-hosted OpenSearch on Scaleway Kapsule\",\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Searchable audit and log store under EU control.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"OVHcloud Object Storage (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-resident blob storage for logs and backups.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak (OpenID Connect / SAML)\",\n      \"service\": \"Self-hosted Keycloak on Scaleway Kapsule\",\n      \"provider\": \"Keycloak (Red Hat/community)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Feature-complete SSO, MFA, sessions, and auditability.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule (EU)\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-managed Kubernetes offering and regional data residency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule (EU)\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration colocated with compute and storage.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": \"Grafana Cloud (EU)\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Centralized EU metrics, logs, and dashboards with alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"Self-hosted GitLab on Scaleway (EU)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-hosted CI/CD with repository and pipeline control.\"\n    }\n  ],\n  \"main_risk\": \"Misconfiguration or compromise of the self-hosted Keycloak cluster could expose EU personal data and break compliance.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16348,"probe_id":6010,"sample":1,"system":"identity_service","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"centralized identity provider\",\n  \"components\": [{\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": \"Keycloak\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Provides login, SSO, MFA, sessions natively\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"PostgreSQL\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Stores users and audit records in EU\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU provider ensures data residency\"\n  }],\n  \"main_risk\": \"Keycloak becomes single point of failure for all logins.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"Grok"},{"response_id":16363,"probe_id":6011,"sample":1,"system":"identity_service","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Self-hosted open-source identity platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SPA for login, MFA enrollment, session management UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrent request handling, fast startup, minimal resource footprint\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Battle-tested identity platform with SSO, MFA, sessions, audit logs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for user credentials, sessions, audit trail integrity\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session token caching, MFA state, rate limiting for login attempts\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and audit logs; critical for compliance and incident response\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High availability, auto-scaling, declarative identity service deployment\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI or Jenkins\",\n      \"service\": null,\n      \"provider\": \"GitLab or Jenkins\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated builds, security scanning, controlled deployments\"\n    }\n  ],\n  \"main_risk\": \"Keycloak upgrade complexity and database schema migrations in production without managed support; require rigorous testing and backup strategy.\",\n  \"first_component_to_replace_at_scale\": \"Redis (move to distributed cache or cluster mode at 100k+ concurrent sessions)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16427,"probe_id":6011,"sample":1,"system":"identity_service","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Login UI and admin dashboard, served as static files.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Rust\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performance and safety for critical auth logic.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Actix Web\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput async web framework for Rust.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API for login, SSO, MFA, session management.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong consistency for users, config, and session metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast session store and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable audit event stream for all auth actions.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for high availability and scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Grafana, Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards for audit and monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pipeline for testing and deployment of the identity service.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting all components (Kafka, Kubernetes) demands deep operational expertise for reliability.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16370,"probe_id":6011,"sample":1,"system":"identity_service","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides robust, battle-tested support for OIDC, SAML, and MFA workflows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"OpenJDK\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers long-term stability and mature security ecosystem for identity services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational storage with industry-standard ACID compliance for audit logs and identity data.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enables consistent scaling and self-healing deployment across internal data centers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for monitoring system health and audit trail metrics in cloud-native environments.\"\n    }\n  ],\n  \"main_risk\": \"Maintaining high availability and security patching of internal infrastructure without external vendor management.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16379,"probe_id":6011,"sample":1,"system":"identity_service","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"centralized identity service\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"NPM\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Standard package manager for web assets\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": null,\n    \"reason\": \"Fast, secure, single-binary deployments\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Fiber\",\n    \"service\": null,\n    \"provider\": \"community\",\n    \"delivery\": null,\n    \"reason\": \"Express-like ergonomics with Go performance\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": null,\n    \"service\": \"OpenAPI\",\n    \"provider\": \"community\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Standard REST contract without lock-in\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": \"PostgreSQL Global Development Group\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Strong ACID, extensible auditing, battle-tested\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": \"Redis Ltd.\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Fast sessions, pub/sub, and rate-limiting\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"Keycloak\",\n    \"provider\": \"community\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Full OIDC/OAuth2, MFA, and audit trails\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSockets\",\n    \"service\": null,\n    \"provider\": \"browser\",\n    \"delivery\": \"client\",\n    \"reason\": \"Needed for push notification sync\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": null,\n    \"provider\": \"Linux\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Portable base for on-prem or cloud VMs\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": null,\n    \"service\": \"K3s\",\n    \"provider\": \"CNCF\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Lightweight Kubernetes for containerized Go services\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus\",\n    \"service\": null,\n    \"provider\": \"CNCF\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Metrics and alerts with open standards\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Grafana\",\n    \"service\": null,\n    \"provider\": \"Grafana Labs\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Dashboards and visualization layer\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"GitHub Actions\",\n    \"service\": null,\n    \"provider\": \"GitHub\",\n    \"delivery\": \"sas\",\n    \"reason\": \"Managed runners with OSS brand credibility\"\n  }],\n  \"main_risk\": \"Self-hosted deployment complexity can throttle scale.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16374,"probe_id":6011,"sample":1,"system":"identity_service","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"self-hosted Kubernetes microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Component-based UI for login flows and admin console.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency, concurrency, small binary footprint for auth workflows.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework for Go services.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"ORY Kratos\",\n      \"service\": \"ORY Kratos\",\n      \"provider\": \"ORY\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source identity, login, MFA, sessions and account management.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"ORY Hydra\",\n      \"service\": \"ORY Hydra\",\n      \"provider\": \"ORY\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect / OAuth2 provider for SSO and token issuance.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID relational store for user accounts and transactional data.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series optimized storage for audit logs and security telemetry.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching, rate-limiting counters, and short-lived tokens.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable async tasks: emails, background audits, and provisioning.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch\",\n      \"provider\": \"OpenSearch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Indexed audit/searchable logs and user directory search capabilities.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for backups, avatars, and session artifacts.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (Gorilla WebSocket)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time session events and admin notifications over WebSocket.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux virtual machines\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted nodes for Kubernetes control and worker planes.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, and service discovery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, alerting, and health visibility for all services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted source control and pipelines for builds and deployments.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity and staffing burden of fully self-hosting and operating Kubernetes plus the ORY stack.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16386,"probe_id":6011,"sample":1,"system":"identity_service","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA central identity service providing login, SSO, MFA, sessions, and auditability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"identity_provider\",\n  \"components\": [{\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"keycloak\",\n    \"provider\": \"keycloak\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"provides login, SSO, MFA, sessions, audit\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"postgresql\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores users, sessions, audit logs\"\n  }],\n  \"main_risk\": \"Central service outage blocks all logins across systems.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16405,"probe_id":6012,"sample":1,"system":"file_sync","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed cloud-native sync service\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UI for file management, sharing, and version history across devices\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android with native sync capabilities\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for high-throughput sync operations and file handling\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance RPC for efficient device-to-server and internal service communication\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"RESTful API for client consumption alongside gRPC for backend services\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for metadata, versioning, sharing rules, and strong consistency\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Eventual consistency for device sync state and file operation logs at scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache and real-time sync state across geographically distributed instances\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event log for file changes, enabling reliable cross-device synchronization\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable immutable file storage with versioning and multi-region replication\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with fallback\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time sync notifications and sharing updates across connected devices\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard token-based authentication with refresh tokens for cross-device sessions\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for stateless backend services across regions\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native deployment and scaling management for microservices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and alerting for sync latency and system health\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated workflows for testing, building, and deploying to EKS\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Analyze usage patterns and sync performance across user base\"\n    }\n  ],\n  \"main_risk\": \"Network partition during sync could cause divergent file states across devices if conflict resolution is not deterministic.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16484,"probe_id":6012,"sample":1,"system":"file_sync","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-browser SPA for web file management, sharing, and preview.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile apps for iOS and Android with native file sync.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe, unified language across frontend and backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Structured, scalable Node.js framework for API and realtime services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": \"AWS API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Centralized RESTful API with rate limiting, authentication, and routing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational metadata store for files, versions, sharing, and users.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache, locks, and temporary data for sync and performance.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": null,\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous processing for uploads, indexing, and notifications.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search over file names, metadata, and content.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable blob storage with versioning for file contents.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"Socket.IO contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional WebSocket events for live sync and collaboration cues.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cross-device authentication, social login, and token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Comprehensive cloud infrastructure for all services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrated containers for backend services with auto-scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logging, metrics, and APM for distributed troubleshooting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft / GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing, builds, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Event tracking\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics for user behavior and feature adoption.\"\n    }\n  ],\n  \"main_risk\": \"Real-time sync consistency during network partitions may cause stale file metadata.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16412,"probe_id":6012,"sample":1,"system":"file_sync","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage for I/O bound synchronization tasks.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides low-latency, strongly-typed communication suitable for mobile and desktop synchronization streams.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency guarantees ensure file metadata integrity and reliable version tracking.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Highly available, durable storage for raw file chunks and binary payload synchronization.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast transient storage for file locking state and active user session management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples heavy file processing tasks and change-log notifications from the main synchronization path.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and cross-device authentication security concerns.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container management for scalable, high-throughput microservice deployment.\"\n    }\n  ],\n  \"main_risk\": \"High latency in metadata synchronization and change propagation during periods of massive concurrent file updates.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16413,"probe_id":6012,"sample":1,"system":"file_sync","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"multi-device cloud sync with eventual consistency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"SvelteKit\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Reactive UIs, fast compile, minimal runtime overhead\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Dart\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase, strong sync primitives, wide adoption\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast concurrency, minimal GC pauses, scalable binaries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Go\",\n      \"service\": \"Gin\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high throughput, idiomatic error handling\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Simple, cacheable, tooling-friendly protocol\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions, JSONB, mature sync ecosystem\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond cache, pub/sub for conflict logs\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Shared cache for user sessions and metadata\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable async task pipeline for sync and email\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, elastic, cheap, world-wide replication\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency desktop notifications and collaborative edits\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Standard identity protocol, JWT minting, de-facto security\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fine-grained container orchestration, cost efficiency\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"containers\",\n      \"service\": \"Docker\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Immutable deployments, reproducible builds, portable\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized logs, metrics, traces with auto-instrumentation\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native repo integration, no context switching\"\n    }\n  ],\n  \"main_risk\": \"Massive egress charges from cross-region sync of large files\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16409,"probe_id":6012,"sample":1,"system":"file_sync","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Amazon S3 + Amazon CloudFront\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"SPA with CDN for global low-latency static delivery.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"iOS (Swift) & Android (Kotlin)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Native apps for best background sync and platform integration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low-latency file metadata operations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin (Go)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with performant routing and middleware.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC + REST (HTTP/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"gRPC for device sync, REST for web and third-party integrations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID metadata, relational sharing and version references.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable versioning, lifecycle, cross-region replication, and scalability.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency sync state, locks, and session caches.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable, scalable background processing and cross-service decoupling.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast metadata and file-content search across user data.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (managed)\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scaled real-time notifications and sync events to devices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed user pools, tokens, and federated identities.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes (containers)\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for microservices and controlled rollout.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Production-grade orchestration, autoscaling, and service mesh readiness.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + logs + traces\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated metrics, tracing, and alerting across services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline for build, test, container image publishing, and deploys.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User behavior and feature usage to guide product decisions.\"\n    }\n  ],\n  \"main_risk\": \"Heavy AWS dependency creates vendor lock-in, potential high egress costs, and single-provider availability exposure.\",\n  \"first_component_to_replace_at_scale\": \"auth\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16426,"probe_id":6012,"sample":1,"system":"file_sync","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"cloud file sync\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"web access for users\"\n  },{\n    \"role\": \"mobile\",\n    \"technology\": \"swift\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"ios native sync client\"\n  },{\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"efficient i/o and concurrency\"\n  },{\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable metadata and versioning\"\n  },{\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"saas\",\n    \"reason\": \"durable file storage\"\n  },{\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"managed\",\n    \"reason\": \"fast metadata access\"\n  },{\n    \"role\": \"queue\",\n    \"technology\": \"sqs\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"saas\",\n    \"reason\": \"handle sync change events\"\n  },{\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user auth and sharing\"\n  },{\n    \"role\": \"hosting\",\n    \"technology\": \"ec2\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"run backend services\"\n  }],\n  \"main_risk\": \"Data loss or corruption during device sync conflicts under high load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16441,"probe_id":6013,"sample":1,"system":"file_sync","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Serverless monolith with managed services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-device web UI; free, lightweight, ecosystem rich\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"iOS and Android from one codebase; shares React knowledge\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast iteration for two engineers; rich sync and versioning libraries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-native, minimal overhead, built-in OpenAPI documentation\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simplicity for small team; sufficient for file sync semantics\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS Free Tier or Render\",\n      \"provider\": \"AWS or Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees critical for versioning; free tier available\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"File storage; pay-per-use under budget at scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Render Redis Free Tier\",\n      \"provider\": \"Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session and sync state; free tier sufficient initially\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native FastAPI support; notify clients of remote changes instantly\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, simple to implement; no external service cost\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container\",\n      \"service\": \"Render or Railway\",\n      \"provider\": \"Render or Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier for small workload; automatic scaling within budget\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Not needed at two-engineer scale; Render/Railway handle it\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; sufficient test and deploy automation\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": \"Render logs or stdout\",\n      \"provider\": \"Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Minimal overhead; built-in platform logs sufficient initially\"\n    }\n  ],\n  \"main_risk\": \"Single database and storage region limits redundancy; S3 costs exceed budget if sync traffic spikes beyond 100GB/month.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16522,"probe_id":6013,"sample":1,"system":"file_sync","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"BaaS with serverless functions\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page application for cross-browser file access\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Expo\",\n      \"provider\": \"Expo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase iOS/Android app with over-the-air updates\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"CDN\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero-config static hosting with automatic HTTPS on free tier\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"PostgREST + Deno\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Auto-generated REST API and edge functions for sync and sharing logic\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed relational database with row-level security and full-text search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Versioned file blobs, presigned upload URLs, integrated access control\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Broadcast database changes to clients for instant cross-device sync\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2/OIDC\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles sign-up, social login, and issues JWT for RLS policies\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error monitoring for web, mobile, and edge functions within free tier\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated test, lint, build, and deploy pipeline for a monorepo\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product usage insights with a generous free tier for early growth\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in with Supabase for auth, database, and storage makes future migration non-trivial.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"DeepSeek"},{"response_id":16444,"probe_id":6013,"sample":1,"system":"file_sync","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic with managed services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for cross-platform web and mobile feature parity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low memory footprint and high concurrency performance for file I/O operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust consistency for metadata and versioning history.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, durable storage for large file blobs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud Run\",\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scales to zero to keep costs low during the initial growth phase.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Firebase Authentication\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces engineering overhead for secure identity management.\"\n    }\n  ],\n  \"main_risk\": \"High egress costs from object storage could exceed the $200 monthly budget as user traffic grows.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16451,"probe_id":6013,"sample":1,"system":"file_sync","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"simple 2-tier SaaS with mobile clients\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Broad device support with minimal code and skills\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"React Native\",\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android with large ecosystem\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast iteration with JavaScript ecosystem and serverless ease\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simpler than GraphQL for initial sync and sharing use cases\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for metadata and relations under low volume\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"client\",\n      \"reason\": \"Zero-config local store for mobile offline support\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond access to hot file metadata and sharing states\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pay-per-use storage meets egress pricing under $200/month\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk, Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles OAuth, multi-factor, sessions with minimal code\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Render\",\n      \"provider\": \"Render, Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost Node.js hosting with included PostgreSQL and Redis\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier sufficient and integrates with repo and PRs\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude, Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Focus on user engagement without heavy backend instrumentation\"\n    }\n  ],\n  \"main_risk\": \"Object storage egress costs could spike on viral sharing events.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16458,"probe_id":6013,"sample":1,"system":"file_sync","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-vm + managed-object-storage\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast component-driven UI, broad ecosystem and mobile code reuse.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Write-once mobile apps sharing business logic with web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast development velocity and large library ecosystem for two engineers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, familiar framework with easy middleware and ecosystem support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP+JSON (REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, easy-to-debug sync API across devices and platforms.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID metadata, strong versioning support with low operational cost on VM.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching for sync state and ETags, single small instance suffices.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis (lists/BullMQ)\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background jobs (versioning, thumbnailing) using existing Redis minimizes ops.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Spaces\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Predictable low cost storage with S3 API compatibility and CDN-friendly access.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (Socket.IO)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight realtime change notifications for cross-device sync with minimal infra.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT (email/password, bcrypt)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Keeps costs down and integrates directly with existing user metadata.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VM (cloud droplet)\",\n      \"service\": \"Droplet (Basic 1GB)\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single small VM hosts API, DB, Redis; lowest-cost simple operations for two engineers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SaaS error tracking with useful free tier and minimal setup overhead.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free-tier CI, integrated with code hosting and simple deploy scripts.\"\n    }\n  ],\n  \"main_risk\": \"Single small VM is a single point of failure and may bottleneck under real user growth.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16461,"probe_id":6013,"sample":1,"system":"file_sync","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"managed BaaS with clients\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"React Native\",\n    \"service\": null,\n    \"provider\": \"Meta\",\n    \"delivery\": \"client\",\n    \"reason\": \"single codebase for iOS and Android\"\n  }, {\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": \"Meta\",\n    \"delivery\": \"saas\",\n    \"reason\": \"web UI hosted on cheap edge CDN\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Supabase\",\n    \"provider\": \"Supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"metadata, versions, shares, ACLs\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3\",\n    \"service\": \"Supabase Storage\",\n    \"provider\": \"Supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"durable file blobs with cheap egress\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"JWT\",\n    \"service\": \"Supabase Auth\",\n    \"provider\": \"Supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user identity and row-level policies\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket\",\n    \"service\": \"Supabase Realtime\",\n    \"provider\": \"Supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"lightweight sync notifications\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"Vercel\",\n    \"provider\": \"Vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"zero-ops frontend and serverless functions\"\n  }],\n  \"main_risk\": \"Supabase egress or storage costs exceed $200 once users upload files.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"Grok"},{"response_id":16477,"probe_id":6014,"sample":1,"system":"file_sync","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"distributed microservices with edge caching\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UI for file management, cross-device sync visualization needed\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android, shared sync logic with web\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrency, low latency, efficient resource use at 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional streaming for real-time sync, efficient binary protocol\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard interface for mobile/web clients, multiplexing support\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for file metadata, versioning, sharing permissions\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Time-series sync state, device activity logs at high write volume\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache, sync queue staging, hot file metadata for 100k concurrent\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Pub/Sub\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable sync event stream, cross-device notification ordering\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Versioned file blobs, low-cost retention, global availability zones\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Server-push sync notifications, connection pooling via gRPC\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": \"Cloud Identity Platform\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cross-device session, federated login, 10M users at scale\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling for bursty sync traffic, multi-region failover\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pod scheduling, service mesh for internal gRPC, rolling deployments\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Jaeger\",\n      \"service\": \"Cloud Monitoring + Cloud Trace\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sync latency tracking, distributed tracing across microservices\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"Cloud Build\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container image building, Kubernetes deployment automation\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL write latency under 10M user base metadata updates; scale with read replicas and sharding.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16533,"probe_id":6014,"sample":1,"system":"file_sync","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich SPA with dynamic UI for file browsing and sharing.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform iOS/Android with shared logic and native file access.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe full-stack development, aligns with frontend/mobile language.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular, scalable server-side framework with built-in WebSocket support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, stateless CRUD and sync endpoints, versioning via content negotiation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational user accounts, sharing ACLs, strong consistency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable table for high-throughput file version metadata and sync logs.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, temporary sync state, rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable job processing for thumbnail generation, virus scanning, change propagation.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search across file names, metadata, and optionally content.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable blob storage for file versions and thumbnails.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.io\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional sync notifications to clients, leverages Redis adapter for horizontal scale.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect / OAuth2 with social login, JWT issuance, centralised roles.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestration platform with auto-scaling for containerised microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana + Prometheus + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified metrics, logs, and dashboards on the same Kubernetes cluster.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipelines for testing, container build, and deployment to EKS.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Mixpanel\",\n      \"service\": \"Mixpanel\",\n      \"provider\": \"Mixpanel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics for user behaviour, funnel tracking, and feature adoption.\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution during offline edits and synchronisation latency under high concurrent usage may lead to data divergence.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16480,"probe_id":6014,"sample":1,"system":"file_sync","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"High concurrency support and excellent performance for I/O bound synchronization tasks.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Efficient binary serialization for high-frequency synchronization traffic between clients and servers.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Ensures ACID compliance for critical file metadata, versioning history, and user permissions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides massive scalability and high durability for storing encrypted file chunks.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Elasticache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles session state and frequent file metadata lookups to reduce database pressure.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliably buffers file update events and processing tasks at extreme throughput.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"AWS AppSync\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Powers instantaneous synchronization notifications across devices for connected users.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security authentication to a proven enterprise provider.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container management for scaling microservices based on fluctuating concurrent user demand.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified visibility into distributed traces and logs to quickly diagnose synchronization bottlenecks.\"\n    }\n  ],\n  \"main_risk\": \"Distributed file consistency bugs during high-concurrency race conditions could lead to data corruption or loss.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16488,"probe_id":6014,"sample":1,"system":"file_sync","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"distributed object-storage platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature, rich ecosystem for web-based file management\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift/Kotlin\",\n      \"service\": null,\n      \"provider\": \"Apple/Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native apps for performance and user trust\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrency and minimal runtime overhead for scale\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"gRPC\",\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance inter-service communication\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"PostgREST\",\n      \"provider\": \"PostgREST authors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"RESTful CRUD over PostgreSQL without middleware\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency, JSON support, and proven scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Apache Cassandra\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High write throughput for metadata logs\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session and metadata caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming for async processing\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and analytics over file metadata\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, highly available binary storage\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"Pusher\",\n      \"provider\": \"Pusher\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simple pub/sub for live sync notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable identity provider with social logins\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes for container orchestration\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Portable, declarative app deployment\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"End-to-end metrics, logs, traces in one place\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native CI/CD with strong Git integration\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast analytical queries on user events\"\n    }\n  ],\n  \"main_risk\": \"Managed service outage or API rate limits could degrade sync performance.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16483,"probe_id":6014,"sample":1,"system":"file_sync","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"service-oriented cloud-native\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive web UI, wide ecosystem, single-page app performance.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native UX with shared codebase and fast iteration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency concurrency, small memory footprint, easy horizontal scaling.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal HTTP framework, high performance, idiomatic for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC with REST gateway\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient service-to-service RPC and backwards-compatible REST for clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID metadata, complex queries, transactional versioning support.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session, metadata caching, and rate-limiting at scale.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, highly available asynchronous task delivery and fanout.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text file and metadata search with scalable indexing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost-effective file storage with lifecycle and versioning features.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable bi-directional channels for live sync and presence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth 2.0\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Federated identity, token lifecycle, and secure user management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"containers\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers reduce infra ops and scale per-task automatically.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration, deployments, and pod scheduling at scale.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus & Grafana\",\n      \"service\": \"Amazon Managed Service for Prometheus and Grafana\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, dashboards, and alerting integrated with AWS services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD pipelines, wide runner ecosystem, and secrets management.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Redshift\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast, scalable analytics for usage, billing, and behavioral queries.\"\n    }\n  ],\n  \"main_risk\": \"Single-cloud (AWS) dependency creates outage, vendor lock-in, and cost concentration risk at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16496,"probe_id":6014,"sample":1,"system":"file_sync","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"web ui for uploads and sharing\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"flutter\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"cross-device file sync apps\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high concurrency for sync ops\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"gin\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight http handling\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"grpc\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"efficient cross-device sync protocol\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"metadata, versions, permissions\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"frequent metadata lookups\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"sqs\",\n    \"service\": \"sqs\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"async upload and sync tasks\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"opensearch\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"file and version search\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": \"s3\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"durable file and version blobs\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"websockets\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"live sync notifications\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"cognito\",\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user and sharing auth\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"eks\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"scale services to 100k concurrent\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"github actions\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"saas\",\n    \"reason\": \"build and deploy pipelines\"\n  }],\n  \"main_risk\": \"Version sync conflicts under concurrent edits at peak load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16513,"probe_id":6015,"sample":1,"system":"file_sync","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed sync service with European data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-device web access with strong ecosystem\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase reduces maintenance across iOS/Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for sync operations and file handling\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient real-time bidirectional sync communication\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC with HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native streaming for file uploads and sync events\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for file metadata and versioning; EU provider\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session state and sync operation deduplication; EU location\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable async processing for version cleanup and sync tasks\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-only data residency with versioning support\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"gRPC streaming\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in to backend framework; eliminates separate service\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard mechanism; EU data retention control\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU infrastructure with horizontal scaling for sync workloads\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for backend and queue workers\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack deployable in EU; full data control\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-friendly option with built-in container registry\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Not required; file search handled via database queries on metadata\"\n    }\n  ],\n  \"main_risk\": \"Sync conflict resolution complexity during concurrent writes across devices; mitigate with operational transformation or CRDT implementation\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ queue should migrate to managed solution or event streaming platform when throughput exceeds single-node capacity\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16580,"probe_id":6015,"sample":1,"system":"file_sync","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich single-page web app for file management.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single cross-platform codebase for iOS and Android.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency for sync and real-time processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP router for REST APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, widespread, supports binary file uploads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for metadata, sharing, and versioning.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable event bus for sync, indexing, and async jobs.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session store, rate limits, temporary sync state.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search of file content and metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based, S3 API, native versioning for file history.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional sync notifications built into backend.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source IAM with OIDC, deployable inside EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud, guarantees data stays in EU.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for all backend services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs (Loki), and dashboards (Grafana) in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted pipeline to keep build artifacts in EU.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": \"Matomo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"GDPR-compliant product analytics without external data flows.\"\n    }\n  ],\n  \"main_risk\": \"Sustaining low latency across the EU while maintaining full data residency may conflict with object storage replication.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"DeepSeek"},{"response_id":16517,"probe_id":6015,"sample":1,"system":"file_sync","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Offers robust ecosystems and cross-platform compatibility for web interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high performance and concurrent efficiency for file synchronization tasks.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency guarantees are essential for managing file metadata and versions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible API\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides sovereign, EU-based scalable storage for file binary data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency access to frequently used file metadata and session states.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simplifies deployment, scaling, and operational management of complex service topologies.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ensures full compliance and data sovereignty by self-hosting IAM infrastructure within EU.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Necessary for bi-directional synchronization signals between client devices.\"\n    }\n  ],\n  \"main_risk\": \"Synchronizing file state across multiple devices carries high latency and conflict resolution complexity.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16525,"probe_id":6015,"sample":1,"system":"file_sync","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Client-managed sync with EU-only cloud backend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Broad device support and strong typing\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Kotlin, Swift\",\n      \"service\": null,\n      \"provider\": \"Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native performance and EU privacy compliance\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Concurrency and memory safety for sync workloads\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Minimal overhead HTTP framework with Go ecosystem\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/1.1, REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Widely supported by clients and proxies\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency, JSON support, and EU hosting\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis Cloud\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"In-memory cache for session and sync metadata\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis Cloud\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Compatible with secondary database, low latency\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": \"NATS JetStream\",\n      \"provider\": \"NATS.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight, high-throughput sync task queue\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search with EU data residency options\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant EU storage with S3 compatibility\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Lightweight protocol for live sync notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC, SCIM\",\n      \"service\": \"Corteza IAM\",\n      \"provider\": \"Corteza\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted identity with versioning-friendly APIs\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global edge network with European nodes\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Nomad\",\n      \"service\": null,\n      \"provider\": \"Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simple scheduler for containerized backend services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency for logs, metrics, traces\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Cirrus CI\",\n      \"provider\": \"Cirrus Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based CI with free tier for Go projects\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog EU\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant product analytics with feature flags\"\n    }\n  ],\n  \"main_risk\": \"Regulatory fragmentation within the EU for cross-border data transfers remains a compliance hurdle.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16528,"probe_id":6015,"sample":1,"system":"file_sync","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Proven SPA framework for performant web sync UIs and broad ecosystem.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS/Android accelerates cross-device client parity.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency concurrency and small binaries for sync and streaming workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with strong performance and middleware ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST (JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, interoperable API for clients and pre-signed object uploads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Hetzner Managed Database for PostgreSQL\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational metadata, transactions, and versioning; Hetzner offers EU hosting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Hetzner Managed Redis\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching, rate limiting, and ephemeral state in EU.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP (EU cluster)\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable background job delivery and hooks with EU-hosted managed option.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text and metadata search; self-host to ensure EU data residency.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Scaleway Object Storage (S3)\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based S3 storage for file blobs, versioning, and presigned uploads.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (WSS)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional sync notifications and live conflict resolution across devices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak (OpenID Connect / OAuth2)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source identity with fine-grained access control and on-premise hosting.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud compute\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based cloud with cost-effective compute and regional data residency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Kubernetes Service (HKS)\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed K8s simplifies deployments while keeping control in EU region.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source metrics and dashboards, self-hosted to meet EU processing rules.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"Self-hosted GitLab on Hetzner\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CI/CD inside EU ensures build and artifact data residency.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-focused product analytics that can be hosted within EU boundaries.\"\n    }\n  ],\n  \"main_risk\": \"Reliance on a small set of EU managed providers may cause availability or capacity limits during large incidents.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16536,"probe_id":6015,"sample":1,"system":"file_sync","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices sync\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Cross-device web access with EU static hosting\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"Flutter\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Single codebase for iOS/Android clients\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Efficient concurrent sync and I/O handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID metadata, versioning, sharing in EU\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3 API\",\n    \"service\": null,\n    \"provider\": \"Scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU provider for personal file blobs\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Keycloak\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Self-hosted OAuth2/OIDC in EU region\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"Kubernetes\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU bare-metal cluster for all workloads\"\n  }],\n  \"main_risk\": \"Cross-device sync conflicts under concurrent edits\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16547,"probe_id":6016,"sample":1,"system":"file_sync","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"distributed file sync with versioning\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source, cross-device capable, large ecosystem\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Code sharing with web frontend, open source, iOS/Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency for sync operations, fast deployment, small footprint\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient RPC for mobile clients, streaming support for sync\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for file operations, web client compatibility\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID guarantees for metadata, versioning, sharing records\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"client\",\n      \"reason\": \"Local sync state tracking on mobile/desktop clients\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session storage, sync operation deduplication, rate limiting\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable file sync job processing, cross-device event propagation\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible API\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"File blob storage, versioning support, standard interface\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time sync notifications across devices\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source identity provider, self-hosted, multi-device session management\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestrates stateless backend, optional multi-region deployment\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"ELK Stack + Prometheus\",\n      \"service\": null,\n      \"provider\": \"Elastic / Prometheus Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source logging, metrics, alerting for operations\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source pipeline, integrated repository, artifact management\"\n    }\n  ],\n  \"main_risk\": \"Distributed sync consistency across concurrent device edits requires careful conflict resolution strategy and testing at scale.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ to distributed event streaming (Apache Kafka) for higher throughput sync events\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16615,"probe_id":6016,"sample":1,"system":"file_sync","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Web UI for file browsing and sharing.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for iOS and Android.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performant language for file sync server.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework in Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API for devices; supplemented by WebSocket for sync.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for user, file metadata, sharing, version records.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage for file blobs, versioned.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session cache, rate limiting, temporary job states.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async job processing for thumbnails, virus scans.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search over file names and contents.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Publish-subscribe for real-time sync notifications across devices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC provider for user auth, SSO, token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for all backend services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics with Prometheus, dashboards with Grafana, logs with Loki.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible\",\n      \"service\": null,\n      \"provider\": \"Plausible Analytics\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly web analytics, open-source.\"\n    }\n  ],\n  \"main_risk\": \"Synchronization conflict resolution and versioning consistency under concurrent edits may impact user experience.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16553,"probe_id":6016,"sample":1,"system":"file_sync","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native distributed file system\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for responsive, cross-platform web interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency performance and efficient binary compilation for synchronization tasks.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong consistency and transaction support necessary for file metadata and versioning.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, high-performance distributed object storage optimized for self-hosting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides low-latency access to session data and frequent file metadata lookups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enables instant synchronization signals across multiple client devices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Authentik\",\n      \"provider\": \"Authentik Security\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides robust, standards-compliant self-hosted identity management.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized container orchestration for scaling storage and API services.\"\n    }\n  ],\n  \"main_risk\": \"Complex distributed state management during concurrent file sync operations could lead to data conflicts.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16561,"probe_id":6016,"sample":1,"system":"file_sync","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first service mesh\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Svelte\",\n      \"service\": null,\n      \"provider\": \"Svelte foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Minimal runtime, direct compile to vanilla JS.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"Capacitor\",\n      \"provider\": \"Ionic\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform wrappers around native WebView.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low GC overhead, built-in concurrency, strong stdlib.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"Fiber team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Express-like API with high performance for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"REST over HTTP/1.1\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature, cache-friendly interface for clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions, row-level locking, mature extensions.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite developers\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No server, safe for local metadata caches.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput, rich data structures, persistence.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"NATS.io team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, language-agnostic, persistent queue.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch SAS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Typo-tolerant, instant responses, simple deployment.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible OSS alternative with versioning.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"WebSockets via Fiber\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in Go WebSocket server, no extra dependency.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Ory Hydra\",\n      \"service\": null,\n      \"provider\": \"Ory GmbH\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source OAuth2/OpenID provider with self-host option.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Bare metal / VM\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Max control, cost effective at scale.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Podman Compose\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight container orchestration without Kubernetes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified metrics, logs, traces with open collectors.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Woodpecker CI\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, fast pipelines mirroring GitHub Actions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Plausible\",\n      \"provider\": \"Plausible Analytics\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, privacy-friendly, no cookies.\"\n    }\n  ],\n  \"main_risk\": \"Longevity of community support for self-hosted components may lag behind cloud-managed offerings.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16564,"probe_id":6016,"sample":1,"system":"file_sync","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"self-hosted microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Mature SPA framework with broad ecosystem for web sync UIs.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android with offline storage support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, small binaries, good for networked file servers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin Contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with gRPC and middleware support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient bi-directional streaming and strong typing for sync operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID metadata, rich queries, strong consistency for file versioning.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, erasure coding, high-performance self-hosted object storage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency cache, pub/sub for change notifications and locks.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable task queue for background processing and TTL workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search and indexing for file contents and metadata.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"libp2p\",\n      \"service\": null,\n      \"provider\": \"Protocol Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Peer networking primitives for device-to-device syncing and discovery.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC, OAuth2, SSO, and fine-grained roles out of the box.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, rolling upgrades, service discovery, autoscaling.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VMs / bare metal\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"On-prem or colocation for full data control and compliance.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection with alerting; pairs with Grafana for visualization.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD, artifact registry, and Git hosting self-hostable.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite\",\n      \"delivery\": \"client\",\n      \"reason\": \"Embedded device-local DB for offline indexes and conflict resolution.\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution and metadata consistency across offline devices may cause data divergence and accidental data loss.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16569,"probe_id":6016,"sample":1,"system":"file_sync","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA cross-device file storage and synchronization product with sharing and versioning.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"client-server file sync\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"vue.js\", \"service\": null, \"provider\": null, \"delivery\": \"client\", \"reason\": \"browser file browser and sharing ui\"},\n    {\"role\": \"mobile\", \"technology\": \"flutter\", \"service\": null, \"provider\": null, \"delivery\": \"client\", \"reason\": \"cross-device sync clients\"},\n    {\"role\": \"backend_language\", \"technology\": \"go\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"efficient large file handling\"},\n    {\"role\": \"api\", \"technology\": \"rest\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"client-server protocol\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"metadata, shares, versions\"},\n    {\"role\": \"object_storage\", \"technology\": \"minio\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"immutable file and version blobs\"},\n    {\"role\": \"auth\", \"technology\": \"keycloak\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"self-hostable identity and access\"},\n    {\"role\": \"queue\", \"technology\": \"rabbitmq\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"async sync and versioning jobs\"}\n  ],\n  \"main_risk\": \"Concurrent device sync can produce conflicting file versions.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16584,"probe_id":6017,"sample":1,"system":"iot_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices with time-series focus\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dashboard for monitoring devices, commands, and alert configuration.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"Pivotal\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust event processing, command execution, and alert orchestration.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard device telemetry ingestion and command delivery endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"InfluxDB\",\n      \"service\": null,\n      \"provider\": \"InfluxData\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Purpose-built for time-series telemetry at scale with compression.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Device metadata, alert rules, command logs, and user configuration.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Device state, command acknowledgments, and session data caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Decouples telemetry ingestion from processing; supports replay and ordering.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Push alerts and device state changes to connected dashboards.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless device and user authentication with role-based access control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Containerize backend services for portability and isolation.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Manage service scaling, health, and deployment for production reliability.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"Prometheus Community and Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and alerting for platform health and device metrics.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and container registry with Kubernetes integration.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient time-series analytics and aggregations at query time.\"\n    }\n  ],\n  \"main_risk\": \"Kafka cluster management and InfluxDB data retention scaling become operational bottlenecks without automated backups and retention policies.\",\n  \"first_component_to_replace_at_scale\": \"Kafka\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16662,"probe_id":6017,"sample":1,"system":"iot_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich dashboard for viewing telemetry, alerts and issuing commands.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for on-the-go monitoring and alerts.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven enterprise language for high-throughput, reliable backends.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": \"Spring Boot\",\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature microservices framework with great Kafka and database integration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"InfluxDB\",\n      \"service\": \"InfluxDB OSS\",\n      \"provider\": \"InfluxData\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Purpose-built time-series database for high-write telemetry ingestion.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"PostgreSQL\",\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for device registry, users, and alert configurations.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis\",\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory caching for API responses, rate limiting, and ephemeral state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Apache Kafka\",\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, partitioned stream for decoupled ingestion and reliable processing.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"EMQX\",\n      \"provider\": \"EMQ Technologies\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable MQTT broker handling bi-directional device communication.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Store firmware updates, telemetry exports, and long-term archives.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2/OIDC\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Identity and access management for users and API keys for devices.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes for running and scaling all backend services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki + Grafana\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified metrics, logs, and dashboards for platform health and alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deployment pipeline to Kubernetes.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Flink\",\n      \"service\": \"Apache Flink\",\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time stream processing to compute aggregates and feed alerts.\"\n    }\n  ],\n  \"main_risk\": \"Sustaining high telemetry ingestion spikes without data loss or InfluxDB write degradation.\",\n  \"first_component_to_replace_at_scale\": \"EMQX MQTT broker\"\n}","model_label":"DeepSeek"},{"response_id":16589,"probe_id":6017,"sample":1,"system":"iot_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and efficient memory usage for handling thousands of concurrent device connections.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency bidirectional communication required for real-time device command and control.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for device metadata and platform configuration data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides the high-throughput ingestion buffer necessary for massive telemetry streams.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"AWS IoT Core\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standardized, lightweight protocol specifically designed for intermittent, bandwidth-constrained IoT device connectivity.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container management for distributed microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for monitoring time-series telemetry metrics and service health.\"\n    }\n  ],\n  \"main_risk\": \"Backpressure handling from IoT devices could overwhelm downstream data consumers during peak traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16593,"probe_id":6017,"sample":1,"system":"iot_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"golang.org\",\n      \"delivery\": \"client\",\n      \"reason\": \"efficient for concurrent I/O bound workloads like telemetry\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Fiber\",\n      \"provider\": \"github.com/gofiber/fiber\",\n      \"delivery\": \"client\",\n      \"reason\": \"lightweight HTTP framework with good performance\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"standard for high-throughput device communications\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"postgresql.org\",\n      \"delivery\": \"managed\",\n      \"reason\": \"strong consistency and advanced queuing for telemetry\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": \"timescale.com\",\n      \"delivery\": \"managed\",\n      \"reason\": \"optimized time-series for metrics and telemetry\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"redis.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"low-latency pub/sub and key-value for live data\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"nats.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"open-source, high-performance messaging for stream processing\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Ably\",\n      \"provider\": \"ably.com\",\n      \"delivery\": \"saas\",\n      \"reason\": \"scalable pub/sub for immediate device feedback\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"mature, extensible identity layer for IoT devices\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Google Cloud Run\",\n      \"provider\": \"google.com\",\n      \"delivery\": \"managed\",\n      \"reason\": \"serverless containers scale to zero when idle\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"kubernetes.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"declarative scaling and reliability for microservices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"datadoghq.com\",\n      \"delivery\": \"saas\",\n      \"reason\": \"unified logs, metrics, traces with low instrumentation\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"github.com\",\n      \"delivery\": \"saas\",\n      \"reason\": \"native to repo, enough compute for container builds\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"BigQuery\",\n      \"provider\": \"google.com\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SQL interface over raw telemetry, pay-as-you-go\"\n    },\n    {\n      \"role\": \"other\",\n      \"role\": \"iot_device_gateway\",\n      \"technology\": \"MQTT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight protocol optimized for device telemetry\"\n    }\n  ],\n  \"main_risk\": \"Cross-region latency spikes during global alert surges may overload the cache tier.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16600,"probe_id":6017,"sample":1,"system":"iot_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-managed microservices (AWS)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"React community\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast SPA for dashboards and real-time device views.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency concurrency, small binaries, efficient telemetry processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin (Go web framework)\",\n      \"service\": null,\n      \"provider\": \"Gin community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP routing and middleware for API services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP API / REST gateway\",\n      \"service\": \"Amazon API Gateway (HTTP API)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Secure, scalable ingress for devices and web clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Time-series database\",\n      \"service\": \"Amazon Timestream\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Purpose-built time-series storage and queries for telemetry.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Relational database (PostgreSQL)\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Device metadata, users, and transactional state.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast lookups for device sessions and rate-limits.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka (streaming)\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable high-throughput ingestion and ordered processing.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT broker\",\n      \"service\": \"AWS IoT Core\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard device connectivity, commands, and topic routing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Identity provider (OAuth2/OIDC)\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User auth, device identity, tokens, and federated logins.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container runtime (OCI/Docker)\",\n      \"service\": \"Amazon EKS (Fargate)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container hosting with serverless node management and scaling.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Mature orchestration for microservices and job scheduling.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object storage (S3 API)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Firmware, logs, and raw telemetry archival.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Search engine (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast query and analytics on logs and device events.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Monitoring & Tracing\",\n      \"service\": \"Amazon CloudWatch + X-Ray\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, logs, traces, and alerting integrated with AWS.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline automation for builds, tests, and deploys.\"\n    }\n  ],\n  \"main_risk\": \"Heavy dependence on AWS managed services creates cost and vendor lock-in under very high ingestion rates.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16602,"probe_id":6017,"sample":1,"system":"iot_platform","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"mqtt event-driven\",\n  \"components\": [{\n    \"role\": \"realtime\",\n    \"technology\": \"MQTT\",\n    \"service\": \"AWS IoT Core\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"handles device telemetry and commands at scale\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"RDS\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores device state and alerts reliably\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"Kinesis\",\n    \"service\": null,\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"buffers high-volume telemetry ingestion\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"X.509\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"secures device and user identities\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"CloudWatch\",\n    \"service\": null,\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"monitors ingestion and alerting health\"\n  }],\n  \"main_risk\": \"Managed realtime service creates vendor lock-in and scaling cost spikes.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16621,"probe_id":6018,"sample":1,"system":"iot_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Netlify\",\n      \"provider\": \"Netlify\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier hosts static dashboard; two engineers cannot maintain servers\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid IoT integration development; minimal team overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async I/O for concurrent device connections; minimal boilerplate\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with webhook\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple device ingestion and command dispatch; webhooks for alerts\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free serverless tier; relational schema for device metadata and telemetry\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier handles device telemetry buffering and command ordering cheaply\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native FastAPI support; alert delivery without extra service cost\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple stateless auth; no SaaS cost; sufficient for small device fleet\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux container\",\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier includes $5/month credit; simple Python deployment; pay-as-you-go\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier logs and metrics; essential for two-engineer debugging of distributed telemetry\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git webhook automation\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; built-in container build and deploy to Railway\"\n    }\n  ],\n  \"main_risk\": \"Single managed database and queue provider creates vendor lock-in and potential service disruption; PostgreSQL export strategy required.\",\n  \"first_component_to_replace_at_scale\": \"Upstash Redis—self-hosted Redis cluster needed for sustained high-throughput telemetry ingestion beyond free tier limits\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16677,"probe_id":6018,"sample":1,"system":"iot_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Single-VPS self-hosted monolith with MQTT broker and serverless observability\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SPA dashboard for device monitoring and alert management.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, async-capable, rich IoT and async library ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-concurrency async HTTP ingestion for device telemetry.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST endpoints for telemetry submission and command dispatch.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"TimescaleDB\",\n      \"provider\": \"Timescale\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series optimized, stores telemetry and device metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightning-fast caching for API and session data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background job queue for alert evaluation and command dispatch.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Mosquitto\",\n      \"service\": null,\n      \"provider\": \"Eclipse Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight MQTT broker for device bidirectional communication.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap blob store for firmware updates and large log exports.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Loki\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier provides metrics, logs, and dashboards without self-hosting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier with generous minutes for a two-person team.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Private Server\",\n      \"service\": null,\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CX11 at ~$4.5/mo fits all core services under budget.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative container management on a single host, easy to maintain.\"\n    }\n  ],\n  \"main_risk\": \"The $4.5 VPS may become a bottleneck for telemetry throughput as device count grows.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16624,"probe_id":6018,"sample":1,"system":"iot_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven serverless\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Strong ecosystem and shared types between frontend and backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Lightweight and highly performant for low-memory costs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless scaling fits the budget perfectly with generous free/usage tiers.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"MQTT\",\n      \"service\": \"EMQX Cloud\",\n      \"provider\": \"EMQ\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard protocol for IoT devices with efficient built-in pub/sub.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Vercel Functions\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Eliminates infrastructure management time for a lean two-person team.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies user management and security for small teams.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Highlight\",\n      \"provider\": \"Highlight\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides full-stack visibility and error tracking within budget.\"\n    }\n  ],\n  \"main_risk\": \"High latency in cold-starts for serverless functions might impact time-sensitive device command performance.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"Gemini (lite)"},{"response_id":16631,"probe_id":6018,"sample":1,"system":"iot_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless event-driven\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Developer familiarity and AWS Lambda support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fits event-driven telemetry needs with generous free tier.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Zero-cost tier available; integrates natively with Lambda.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"NoSQL\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless, single-digit ms latency, $0 for <25 GB storage.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": null,\n      \"service\": \"Amazon Timestream\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Time-series optimized for telemetry within ingestion cost cap.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Dramatically lowers DynamoDB reads under free tier limits.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier for 1M requests per month; decouples ingestion.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"12 months free for first 5 GB; durable, low-cost later.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"User identity free for up to 50 K MAU.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Amazon IoT Core\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Natively supports device publishing/subscribe over MQTT.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Free Tier\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Covers Lambda, API Gateway, DynamoDB, SQS, S3 costs first year.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Workflow\",\n      \"service\": \"AWS Step Functions\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Coordinates Lambda functions without overhead server costs.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Metrics & Logs\",\n      \"service\": \"Amazon CloudWatch\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Completely free under Free Tier for basic alarms & logs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git-based\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; generous private quota.\"\n    }\n  ],\n  \"main_risk\": \"Budget exhausts before traffic grows 5× and throttling begins.\",\n  \"first_component_to_replace_at_scale\": \"Timestream\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16628,"probe_id":6018,"sample":1,"system":"iot_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-vm Docker IoT stack\",\n  \"components\": [\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"KVM VPS\",\n      \"service\": \"Droplet\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lowest predictable cost for small team and full control under $200/month.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight container management, simple for two engineers.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Wide library ecosystem and rapid development for IoT integrations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async, fast HTTP and WebSocket support with minimal boilerplate.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST + WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard device and dashboard integration methods; low infrastructural cost.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"Eclipse Mosquitto\",\n      \"provider\": \"Eclipse Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, ubiquitous telemetry transport and command channel for devices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational store; supports time-series extensions if needed later.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible API\",\n      \"service\": \"Spaces\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cheap, durable storage for firmware, blobs, and backups.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless tokens for device and user auth, minimal operational overhead.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free/low-cost pipelines for deployments and tests; easy integration with repo.\"\n    }\n  ],\n  \"main_risk\": \"Single VPS is a single point of failure and will struggle under high device volumes.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16640,"probe_id":6018,"sample":1,"system":"iot_platform","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"serverless event-driven\",\n  \"components\": [{\n    \"role\": \"realtime\",\n    \"technology\": \"mqtt\",\n    \"service\": \"iot core\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ingests telemetry and issues commands\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"dynamodb\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores telemetry durably and cheaply\"\n  }, {\n    \"role\": \"other\",\n    \"technology\": \"sns\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"delivers alerts to users\"\n  }],\n  \"main_risk\": \"Free tier exhaustion from high message volume.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16658,"probe_id":6019,"sample":1,"system":"iot_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices on Kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive dashboards for device management and alert triage\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android alert notifications\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrent telemetry ingestion and low-latency command dispatch\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput inter-service communication for microservices\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard device API for telemetry submission and command ingestion\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for device state and alert history with auto-scaling\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": \"Timescale\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series telemetry data with compression for cost efficiency\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Cloud Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"In-memory caching for device metadata and active alert counts\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event streaming for telemetry, commands, and alerts at scale\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time alert and device state updates to frontend\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Google Identity Platform\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure device and user authentication with managed key rotation\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling container orchestration handles 100k concurrent users\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloud Logging, Cloud Trace, Cloud Monitoring\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified observability stack integrated with GCP for troubleshooting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native container image building and deployment to GKE\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": null,\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Petabyte-scale analytics on historical telemetry and alert patterns\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Lite\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Edge anomaly detection on devices; cloud model serving for alert correlation\"\n    }\n  ],\n  \"main_risk\": \"Kafka cluster operational complexity and cost at 100k concurrent users; consider managed alternative or partition strategy.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16399,"probe_id":6019,"sample":1,"system":"iot_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page application for user dashboards and device management.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for alerts and device control.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency model suits massive telemetry ingestion.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin-Gonic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, fast HTTP framework for REST APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": \"Kong Gateway\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles auth, rate limiting, and request routing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for user accounts and device metadata.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Apache Cassandra\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable high-write throughput for telemetry time-series.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Caches session data and real-time device state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event streaming backbone for telemetry and commands.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search over logs and alert indices.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for firmware and bulk exports.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"EMQX\",\n      \"service\": null,\n      \"provider\": \"EMQ Technologies\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable MQTT broker for millions of device connections.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2 identity management for users and devices.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon Web Services\",\n      \"service\": \"EC2\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cloud infrastructure scaling to 100k concurrent users.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestrates containerized services across cloud VMs.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Collects metrics, logs, traces for full-stack observability.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated build, test, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time OLAP for telemetry aggregation and dashboards.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Serving\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serves anomaly detection models on telemetry streams.\"\n    }\n  ],\n  \"main_risk\": \"Ensuring low-latency command delivery and resilient alerting across 100k concurrent device connections may stress the MQTT broker and Kafka cluster under burst loads.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}","model_label":"DeepSeek"},{"response_id":16661,"probe_id":6019,"sample":1,"system":"iot_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"High concurrency support and low memory footprint for device connectivity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Efficient binary serialization for high-frequency IoT telemetry payloads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational consistency for device metadata and user state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles massive telemetry throughput and buffers downstream processing.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized scalable infrastructure for managing containerized IoT worker services.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"EMQX\",\n      \"provider\": \"EMQ\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry-standard protocol for resource-constrained device communication.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond latency for session storage and device state checkpoints.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies multi-tenant authentication and secure identity management.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified visibility into distributed device-to-cloud request traces.\"\n    }\n  ],\n  \"main_risk\": \"Backpressure management during sudden spikes in concurrent device telemetry ingest.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16666,"probe_id":6019,"sample":1,"system":"iot_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices with stream processing\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"Oracle Corporation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"JVM throughput for high concurrency telemetry writes\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware Tanzu\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"mature ecosystem, built-in observability, and Kotlin support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST + WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"telemetry upload needs REST, commands use WebSocket\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"managed Postgres with 6x replication lag under 100ms at 100k concurrent\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Apache Cassandra\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"time-series writes with linear scalability for raw device metrics\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"100k concurrent low-latency reads reduce Aurora load\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"persistent buffer for 10M writes/sec before downstream processing\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Apache Kafka Streams\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"exactly-once stateful stream processing for alerts and aggregation\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"search device metadata and full-text alert queries\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API\",\n      \"service\": \"S3 Standard\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"store device firmware images and archival telemetry\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"stateless auth tokens reduce API gateway CPU\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"EC2\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"compute elasticity for 100k concurrent connections per AZ\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"rollout blue-green for 100k-pod fleet with zero downtime\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry + Prometheus + Grafana\",\n      \"service\": \"Managed Prometheus & Grafana\",\n      \"provider\": \"Amazon Managed Service for Prometheus\",\n      \"delivery\": \"managed\",\n      \"reason\": \"unified metrics, traces, and logs across 10k microservices\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"30-minute build-test-deploy pipeline for daily code drops\"\n    }\n  ],\n  \"main_risk\": \"Kafka broker disk I/O saturation under peak telemetry load causes alerts lag.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16669,"probe_id":6019,"sample":1,"system":"iot_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"High-performance single-page apps with broad ecosystem and developer productivity.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Flutter\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android, fast development and consistent UX.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency, low-latency networking, and small binary deployment footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, fast HTTP framework compatible with Go microservices.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST (JSON)\",\n      \"service\": \"Amazon API Gateway (HTTP API)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency HTTP front door with built-in auth and throttling.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Time-series database\",\n      \"service\": \"Amazon Timestream\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Purpose-built, serverless time-series storage for high-ingest IoT telemetry.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable transactional store for users, device state, and commands.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session, rate-limiting, and command deduplication storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kinesis Data Streams\",\n      \"service\": \"Amazon Kinesis Data Streams\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput, durable event ingestion pipeline integrated with AWS IoT Core.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"AWS IoT Core\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native device protocol, secure connections, and rule-based routing to streams.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / JWT\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed user pools, federation, JWT tokens, and scalable auth flows.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"containers\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container hosting reduces infra operations and autoscaling complexity.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard orchestration for microservices, scaling, and portability.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Amazon Managed Service for Prometheus\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable metrics collection compatible with OpenTelemetry and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with wide ecosystem and easy pipeline automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"data warehouse\",\n      \"service\": \"Amazon Redshift Serverless\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable analytics for aggregate telemetry and business reporting.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for raw telemetry, firmware, and long-term archives.\"\n    }\n  ],\n  \"main_risk\": \"Heavy dependence on AWS managed services creates vendor lock-in and regional outage risk affecting availability and costs.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16343,"probe_id":6019,"sample":1,"system":"iot_platform","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven iot\",\n  \"components\": [{\n    \"role\": \"realtime\",\n    \"technology\": \"mqtt\",\n    \"service\": \"IoT Core\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ingests telemetry and commands at required concurrency\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"RDS\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores device state and summarized telemetry\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kinesis\",\n    \"service\": \"Kinesis Data Streams\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"buffers high-volume events for alert processing\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles high-throughput event processing efficiently\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"Cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"secures devices and user access at scale\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"tracks metrics across ingestion and alerting\"\n  }],\n  \"main_risk\": \"Managed services create vendor lock-in and rising costs at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16356,"probe_id":6020,"sample":1,"system":"iot_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Event-driven microservices with time-series focus\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive dashboard for device management and alert visualization\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single codebase for iOS and Android command issuance and monitoring\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-concurrency telemetry ingestion and low-latency command dispatch\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient device communication and inter-service RPC with streaming support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API for client applications and third-party integrations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series optimized PostgreSQL extension for telemetry at scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Device registry, user accounts, and alert rules metadata\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Device state caching and real-time alert deduplication\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable event streaming for telemetry fanout and command ordering\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live alert delivery and device status updates to clients\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless authentication for API and device token-based access\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Kubermatic\",\n      \"provider\": \"Kubermatic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based managed Kubernetes with GDPR compliance and data residency\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for services, queues, and databases\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and logs retention under EU control with local alerting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option with native Kubernetes integration\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"MinIO\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Device firmware binaries and telemetry backups in EU infrastructure\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast analytical queries on historical telemetry and alert patterns\"\n    }\n  ],\n  \"main_risk\": \"Kafka broker failure or data loss during peak ingestion without sufficient replication and careful partition balancing across hardware.\",\n  \"first_component_to_replace_at_scale\": \"Redis cache will require clustering and persistence tuning as device state volume exceeds available memory\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16446,"probe_id":6020,"sample":1,"system":"iot_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive web dashboard for alerts and device management.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for data processing and ML.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async framework for telemetry ingestion API.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Traefik\",\n      \"service\": null,\n      \"provider\": \"Traefik Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-made API gateway and reverse proxy for microservices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": \"TimescaleDB Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series optimized PostgreSQL for device telemetry storage.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational data for device registry, users, alert configurations.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching for device session and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redpanda\",\n      \"service\": null,\n      \"provider\": \"Redpanda Data\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-vendor Kafka-compatible streaming for telemetry and commands.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meili\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-origin full-text search for alert logs and device metadata.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based object storage for firmware and telemetry dumps, GDPR compliant.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"EMQX\",\n      \"provider\": \"EMQX Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"MQTT broker for device telemetry ingestion and command distribution, European open-source.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"ZITADEL\",\n      \"service\": null,\n      \"provider\": \"ZITADEL Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"European identity management with OAuth2/OIDC for device and user auth.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Scaleway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European cloud infrastructure, all data within EU regions.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Manage containers across EU nodes with managed Kubernetes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-origin open-source monitoring, logging, and tracing stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Gitea + Woodpecker\",\n      \"service\": null,\n      \"provider\": \"Gitea/Gitea project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"European self-hosted source control and CI/CD pipeline.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"DuckDB\",\n      \"service\": null,\n      \"provider\": \"DuckDB Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-process analytical SQL for offline telemetry analysis, EU-origin.\"\n    }\n  ],\n  \"main_risk\": \"Command latency for non-EU devices may degrade due to all processing and data remaining within EU.\",\n  \"first_component_to_replace_at_scale\": \"EMQX\"\n}","model_label":"DeepSeek"},{"response_id":16358,"probe_id":6020,"sample":1,"system":"iot_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"High performance and low memory footprint for handling massive numbers of concurrent device connections.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Binary protocol reduces bandwidth and latency for resource-constrained IoT devices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage with excellent EU region availability and strong data consistency guarantees.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles massive ingestion throughput and decouples telemetry processing from alerting workflows.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"EMQX\",\n      \"provider\": \"EMQ\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard messaging protocol for lightweight IoT device communication.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust scaling and lifecycle management for microservices within EU sovereign data boundaries.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies identity management with strictly configured EU-only data residency policies.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Efficiently aggregates and analyzes high-volume time-series telemetry data.\"\n    }\n  ],\n  \"main_risk\": \"Scaling the MQTT broker to handle millions of concurrent persistent device connections while ensuring low-latency command delivery.\",\n  \"first_component_to_replace_at_scale\": \"MQTT\"\n}","model_label":"Gemini (lite)"},{"response_id":16366,"probe_id":6020,"sample":1,"system":"iot_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Serverless event-driven micro-services\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": null,\n    \"service\": \"React SPA\",\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Ubiquitous, low-ops, works with any API\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"Swift\",\n    \"service\": \"Swift Native iOS\",\n    \"provider\": \"Apple\",\n    \"delivery\": \"client\",\n    \"reason\": \"Native performance for push commands\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"managed\",\n    \"reason\": \"Rich telemetry handling and ecosystem\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"FastAPI\",\n    \"service\": \"AWS Lambda\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Auto-scales, cold-start tolerant, Python support\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"HTTP/REST\",\n    \"service\": \"Amazon API Gateway\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Unified API gateway, AcM integration\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"SQL\",\n    \"service\": \"Amazon Aurora PostgreSQL\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU region, serverless option, JSONB telemetry\"\n  }, {\n    \"role\": \"secondary_database\",\n    \"technology\": \"Time-series\",\n    \"service\": \"TimescaleDB\",\n    \"provider\": \"Timescale\",\n    \"delivery\": \"managed\",\n    \"reason\": \"PostgreSQL extension, IoT telemetry optimized\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"Amazon MemoryDB\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Microsecond reads for hot device state\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"STOMP\",\n    \"service\": \"Amazon MQ\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Durable JMS-style brokers, enqueue commands\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket\",\n    \"service\": \"AWS AppSync\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Subscribe devices to push alerts, EU-region\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"OAuth2\",\n    \"service\": \"Auth0\",\n    \"provider\": \"Auth0 Inc\",\n    \"delivery\": \"saas\",\n    \"reason\": \"EU hosting, multitenant device identities\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"AWS EU-Central-1\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU sovereignty, high availability\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"YAML\",\n    \"service\": \"AWS Step Functions\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Orchestrate long telemetry pipelines\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"OpenTelemetry\",\n    \"service\": \"Datadog\",\n    \"provider\": \"Datadog Inc\",\n    \"delivery\": \"saas\",\n    \"reason\": \"EU tenancy, unified traces/metrics/logs\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"Git\",\n    \"service\": \"GitLab CI\",\n    \"provider\": \"GitLab B.V.\",\n    \"delivery\": \"saas\",\n    \"reason\": \"EU servers, free tier, DevOps built-in\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": \"SQL\",\n    \"service\": \"Amazon Redshift Serverless\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Petabyte-scale telemetry analytics, EU\"\n  }],\n  \"main_risk\": \"Vendor lock-in on AWS Aurora PostgreSQL/TimescaleDB tiers.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16371,"probe_id":6020,"sample":1,"system":"iot_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native EU-first IoT\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich web UI for device management and alerts.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency and low latency for telemetry ingestion.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, high-performance HTTP and gRPC routing.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC + REST (gRPC-Gateway)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency device APIs plus HTTP endpoints for UIs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"TimescaleDB (PostgreSQL)\",\n      \"service\": \"Aiven for TimescaleDB\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Time-series optimized SQL for telemetry with retention policies.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional device metadata and user records.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency device state, sessions, and rate-limits.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable high-throughput telemetry ingestion and command streams.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Aiven for OpenSearch\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text alert search and log analytics.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted blob storage for firmware and large payloads.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"HiveMQ Cloud\",\n      \"provider\": \"HiveMQ\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable EU-hosted MQTT broker for device connectivity.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source OIDC/OAuth2 with in-cluster control for EU data.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed EU Kubernetes for application orchestration.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Argo CD\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"GitOps deployment control integrated with Kubernetes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards and logs hosted in-cluster for EU residency.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (self-managed)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-controlled CI/CD and artifact storage on private infra.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance analytics on telemetry aggregates and funnels.\"\n    }\n  ],\n  \"main_risk\": \"Reliance on multiple managed services risks cross-provider outages and operational lock-in impacting availability.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16377,"probe_id":6020,"sample":1,"system":"iot_platform","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [{\n    \"role\": \"realtime\",\n    \"technology\": \"MQTT\",\n    \"service\": \"VerneMQ\",\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU-based broker for telemetry and commands\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"TimescaleDB\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Time-series storage for device telemetry\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"RabbitMQ\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Handle commands and alert processing\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Performant IoT data handling\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": null,\n    \"provider\": \"OVHcloud\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"European infrastructure for data residency\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Platform monitoring and alerting\"\n  }],\n  \"main_risk\": \"Maintaining EU data residency while scaling ingestion volume.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16393,"probe_id":6021,"sample":1,"system":"iot_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices with time-series focus\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source, responsive dashboard for device monitoring and command dispatch\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native mobile app for alerts and manual control\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"PSF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Excellent ecosystem for IoT, telemetry processing, and ML inference pipelines\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-first, high performance for concurrent device connections and commands\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"MQTT\",\n      \"service\": null,\n      \"provider\": \"OASIS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard lightweight protocol for bidirectional device communication and commands\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": \"Timescale\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"PostgreSQL extension optimized for time-series telemetry ingestion at scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast in-memory cache for device state and command queuing\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Distributed event log for reliable telemetry streaming and alert pipeline decoupling\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search and analytics over device logs and alert history\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time alert delivery to connected dashboards and mobile clients\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"RedHat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source identity provider with device certificate and user authentication support\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling ingestion, alerting, and command services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection; pair with Grafana for dashboards and alerting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated pipeline for building, testing, and deploying microservices\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Lite\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight anomaly detection models for telemetry streams and alert triggering\"\n    }\n  ],\n  \"main_risk\": \"MQTT broker and Kafka cluster availability directly impacts device connectivity and alert delivery; single points of failure without proper clustering and failover.\",\n  \"first_component_to_replace_at_scale\": \"MQTT broker (migrate to clustered Mosquitto or RabbitMQ with federation for multi-region support)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16481,"probe_id":6021,"sample":1,"system":"iot_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA dashboard for device management and alerts.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app for push notifications.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency for IoT ingestion and commands.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST API framework for the platform.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Device metadata, users, configuration.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": \"Timescale\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series storage of telemetry data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session and temporary caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event streaming for telemetry and commands.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for logs and alerts.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Storage for firmware and binary artifacts.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"EMQX\",\n      \"service\": null,\n      \"provider\": \"EMQX Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"MQTT broker for device communication.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC authentication for platform users.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"On-premise servers or colocation.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration and scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated build, test, and deploy pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Flink\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time alert rule evaluation from event streams.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting all components demands deep operational expertise and can lead to scaling challenges.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16397,"probe_id":6021,"sample":1,"system":"iot_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage for handling massive IoT device streams.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides strict contracts and efficient binary serialization for resource-constrained IoT devices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational integrity for device metadata and platform state management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles massive throughput and provides durable message persistence for telemetry buffering.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"MQTT\",\n      \"service\": \"Mosquitto\",\n      \"provider\": \"Eclipse Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard lightweight messaging protocol optimized for intermittent IoT connections.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides robust container lifecycle management and scaling flexibility.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Best-in-class time-series monitoring for microservices infrastructure.\"\n    }\n  ],\n  \"main_risk\": \"Managing self-hosted stateful systems like Kafka and PostgreSQL at scale requires significant operational overhead.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16404,"probe_id":6021,"sample":1,"system":"iot_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"open-source IoT platform\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich async support, strong ecosystem, IoT-friendly libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async, auto-generated OpenAPI, minimal boilerplate.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"REST\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized, widely supported, easy for devices and dashboards.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series extensions, JSONB, transactions, robust HA options.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond reads, pub/sub for device commands, low ops overhead.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, highly available clustering, strong routing and QoS.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"Amazon.com\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fork of Elasticsearch, Kibana-like visualization, fast full-text.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, minimal, lightweight, runs anywhere.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional streaming from devices, no polling overhead.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 + JWT\",\n      \"service\": \"Authelia\",\n      \"provider\": \"Authelia Association\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified SSO, MFA, powerful rules engine, OSS alternative to Auth0.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Controlled edge nodes on commodity Linux servers.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"k3s\",\n      \"provider\": \"Rancher\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Small footprint, light on RAM, self-contained, low learning curve.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single pane for metrics, logs, tracing, and IoT device KPIs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"YAML\",\n      \"service\": \"Woodpecker CI\",\n      \"provider\": \"Woodpecker CI Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight pipeline runner, drop-in GitHub Actions replacement.\"\n    }\n  ],\n  \"main_risk\": \"Running production Kafka alternative workload in RabbitMQ at high ingest rates.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16401,"probe_id":6021,"sample":1,"system":"iot_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native self-hosted IoT platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UIs and WebSocket support for live telemetry dashboards.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency concurrency for high-throughput telemetry ingestion.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, fast HTTP framework for APIs and WebSockets.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST (OpenAPI) + WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple device and dashboard integrations with real-time updates.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"EMQX (MQTT broker)\",\n      \"service\": null,\n      \"provider\": \"EMQ\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven MQTT broker for device telemetry and command delivery.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"InfluxDB\",\n      \"service\": null,\n      \"provider\": \"InfluxData\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Purpose-built time-series DB for high-cardinality device telemetry.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational metadata, device registry, and transactional state.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching and ephemeral device state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, scalable telemetry stream processing and eventing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search and analytics on logs and alerts.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO (S3 compatible)\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted S3-compatible storage for device payloads and backups.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2, user management, and device/client authentication.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Machines\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible infrastructure for on-prem or colocation Kubernetes nodes.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, and service discovery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics scraping, alerting, and instrumented system monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE (GitLab CI)\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD, container registry, and self-hosted pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dashboarding and visualization for telemetry, metrics, and alerts.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Apache Flink\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time stream processing for alerting, enrichment, and command generation.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity and staffing required to run and scale a fully self-hosted Kafka, Kubernetes, and MQTT stack.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16419,"probe_id":6021,"sample":1,"system":"iot_platform","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn IoT platform ingesting device telemetry, issuing commands, and raising alerts.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [{\n    \"role\": \"realtime\",\n    \"technology\": \"mqtt\",\n    \"service\": \"mosquitto\",\n    \"provider\": \"eclipse\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"device telemetry and command transport\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": \"apache\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ingest processing and decoupling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"timescaledb\",\n    \"provider\": \"timescale\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"time-series telemetry storage\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": \"redis\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"command state and rate limiting\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"keycloak\",\n    \"provider\": \"keycloak\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"device and user identity\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container orchestration\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"concurrency for device handling\"\n  }],\n  \"main_risk\": \"Mosquitto single broker risks downtime at high scale\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16429,"probe_id":6022,"sample":1,"system":"public_api","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed API platform with managed services\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST/HTTP\",\n      \"service\": \"API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native API key management, rate limiting, and quota enforcement\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, minimal resource overhead\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http with Chi router\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, standard library focused, minimal dependencies\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for billing and quota state, read replicas for HA\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond quota checks and rate limit enforcement\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable webhook delivery and billing event processing at scale\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"HMAC-SHA256 API keys\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple stateless validation, no external dependency latency\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": \"ECS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless scaling, no instance management, pay-per-use\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Multi-zone HA, auto-scaling, canary deployments for reliability\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and OpenTelemetry\",\n      \"service\": \"CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Centralized metrics, logs, and traces for API performance monitoring\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with version control, native container registry push\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Audit logs, webhook payloads, billing data retention\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Clickhouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cost-effective analytical queries on high-volume API usage data\"\n    }\n  ],\n  \"main_risk\": \"Redis and Kafka single points of failure despite managed high availability; require explicit multi-AZ setup validation.\",\n  \"first_component_to_replace_at_scale\": \"Clickhouse (migrate to serverless DW like Redshift Spectrum for unbounded scale)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16500,"probe_id":6022,"sample":1,"system":"public_api","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Developer portal for key management, usage dashboards, and billing settings.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-concurrency language for API services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, minimal HTTP router for REST APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Envoy Proxy\",\n      \"service\": \"Ambassador Edge Stack\",\n      \"provider\": \"Ambassador Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native API gateway with rate limiting, authentication, developer portal.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational data for users, keys, quotas, billing.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency rate limit counters and session caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message queue for webhook dispatch with acknowledgments.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Storing webhook payload logs and invoice PDFs.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring, logging, APM for production health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deploy pipelines to Kubernetes.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cloud infrastructure with high availability across AZs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for microservices with auto-scaling.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Payment processing for subscription billing and invoicing.\"\n    }\n  ],\n  \"main_risk\": \"Ensuring exactly-once webhook delivery with retries without duplicates under high throughput and transient failures.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16432,"probe_id":6022,"sample":1,"system":"public_api","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native API gateway monolith\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high performance, concurrency, and excellent static typing for API development.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Standard Library\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimizes dependency bloat and provides maximum long-term stability and performance.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": \"Kong Gateway\",\n      \"provider\": \"Kong Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides out-of-the-box rate limiting, key authentication, and webhook management.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage with robust ACID compliance for billing and quota data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enables sub-millisecond response times for quota checking and session validation.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Guarantees reliable delivery of high-volume webhook events to downstream consumers.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for orchestrating containerized workloads with high availability.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides unified insights into API latency, error rates, and system performance.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and secure credential handling to a specialized provider.\"\n    }\n  ],\n  \"main_risk\": \"The dependency on Auth0 introduces a critical third-party point of failure for all API authentication.\",\n  \"first_component_to_replace_at_scale\": \"api\"\n}","model_label":"Gemini (lite)"},{"response_id":16439,"probe_id":6022,"sample":1,"system":"public_api","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless REST API with managed services\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"mature ecosystem for API frameworks and async libraries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"client\",\n      \"reason\": \"async-native, OpenAPI-first, fast to code and iterate\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"global edge network with no cold starts, simple auth layer\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"serverless Postgres with immediate scale-to-zero and branching\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"low-latency, serverless Redis with built-in HA and usage tracking\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"durable, partitioned, and scalable pub/sub for webhooks and billing\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"batteries-included user management with key rotation and quotas\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers + Neon + Confluent\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"single vendor control plane for all core routing and storage APIs\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Honeycomb\",\n      \"provider\": \"Honeycomb\",\n      \"delivery\": \"saas\",\n      \"reason\": \"exemplary distributed tracing with 50ms event delay target\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"ubiquitous workflows with OIDC secrets and matrix builds\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to Cloudflare/Neon/Confluent if traffic multiplies 100× unexpectedly.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16436,"probe_id":6022,"sample":1,"system":"public_api","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native kubernetes microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React single-page app\",\n      \"service\": \"Amazon S3 + CloudFront\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast global CDN for developer dashboard and docs.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low latency, high concurrency, small binary footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"API gateway (layer7 reverse proxy)\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Key management, rate limiting, authentication edge enforcement.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL (Multi-AZ)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional consistency, complex queries, managed HA and backups.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency quota counters, session and rate-limit caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Distributed message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable webhook/async delivery, retries, simple scaling.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store logs, customer payloads, and large artifacts reliably.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / API keys (token signing)\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed developer auth, API key lifecycle, and security compliance.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Run microservices, autoscaling, and rollout control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud compute and networking\",\n      \"service\": \"AWS (EC2, VPC, IAM)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global infrastructure, networking, and identity integration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry + Prometheus + logs\",\n      \"service\": \"Amazon CloudWatch + Managed Service for Prometheus & Grafana\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, traces, and logs centralized for HA debugging.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing, build, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Billing API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Subscription billing, invoices, and payment processing.\"\n    }\n  ],\n  \"main_risk\": \"Heavy reliance on AWS managed services and external auth increases vendor lock-in and long-term cost risk.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16450,"probe_id":6022,"sample":1,"system":"public_api","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"gateway_backend\",\n  \"components\": [{\n    \"role\": \"api\",\n    \"technology\": null,\n    \"service\": \"API Gateway\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"native key and quota handling with HA\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"webhook dispatch and Stripe billing logic\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"RDS\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"persistent storage for keys and usage\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"ElastiCache\",\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"low-latency quota counters\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"sqs\",\n    \"service\": null,\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable async webhook delivery\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"cloudwatch\",\n    \"service\": null,\n    \"provider\": \"Amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"logs metrics and alerting in one place\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"github_actions\",\n    \"service\": null,\n    \"provider\": \"GitHub\",\n    \"delivery\": \"saas\",\n    \"reason\": \"automated deployments from repo\"\n  }],\n  \"main_risk\": \"Tight coupling to Amazon managed services creates migration friction.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework\"\n}","model_label":"Grok"},{"response_id":16464,"probe_id":6023,"sample":1,"system":"public_api","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Serverless API with managed backend services\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": \"AWS API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Built-in API key management, quotas, request throttling, webhook delivery\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development for two engineers, strong ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, async-native, minimal overhead for serverless\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Lambda runtime\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pay-per-request pricing fits budget; no server management needed\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS Micro\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier eligible first year; handles API keys, quotas, webhooks, billing records\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache Micro\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Rate limiting and quota tracking; minimal cost tier available\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": \"AWS SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable webhook delivery decoupled from request path; free tier sufficient\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"API key validation\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple key-based auth implemented in Lambda; no external service needed\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"CloudWatch logs and metrics\",\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier logs and basic metrics; sufficient for monitoring two engineers\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier; deploy Lambda directly on push\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostgreSQL queries\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Query RDS directly for usage and billing analytics; no additional tool needed\"\n    }\n  ],\n  \"main_risk\": \"Two engineers managing production API; Lambda cold starts may impact latency under sudden traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"AWS Lambda and API Gateway—migrate to Kubernetes or containerized backend for sustained high throughput and predictable costs.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16519,"probe_id":6023,"sample":1,"system":"public_api","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"serverless_edge\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"ECMA/TC39\",\n      \"delivery\": \"client\",\n      \"reason\": \"single language for frontend and backend reduces cognitive load\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Hono\",\n      \"service\": null,\n      \"provider\": \"Hono community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight, fast router built for WinterCG edge runtimes\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Serverless Functions\",\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"globally distributed, auto-scaling, negligible cost at first-year usage\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": \"Cloudflare D1\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"edge-distributed SQL, zero-downtime, generous free tier fits $200 budget\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message Queue\",\n      \"service\": \"Cloudflare Queues\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"guaranteed delivery for webhooks, integrated with Workers, free tier\"\n    },\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"static dashboard for key management, quotas, billing; free hosting\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"custom API key generation and validation in Workers, no external service needed\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Cloudflare Workers Analytics Engine\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"structured logging, metrics, and traces within Cloudflare ecosystem\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"automated deploy to Workers and Pages, free for public repos\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL\",\n      \"service\": \"Cloudflare Analytics Engine\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"query API usage, quota metrics directly from Workers telemetry\"\n    }\n  ],\n  \"main_risk\": \"D1’s SQLite concurrency limits and 5 TB storage cap may force a move to a distributed OLTP database if write throughput or size grows beyond early targets.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16469,"probe_id":6023,"sample":1,"system":"public_api","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless API\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single language across the stack increases velocity for small teams.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"High performance and minimal overhead for low-latency API response.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"AWS Lambda\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective scaling and zero server maintenance within budget.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless Postgres offers free tier and scales storage down to save costs.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Auth0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles secure key management and developer authentication without building custom logic.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Vercel\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles global CDN and edge deployments for latency-optimized API delivery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides essential error tracking and performance monitoring for two-person teams.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Deep integration with version control simplifies automation for small teams.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to serverless ecosystem may complicate migrations if traffic volume spikes exponentially.\",\n  \"first_component_to_replace_at_scale\": \"AWS Lambda\"\n}","model_label":"Gemini (lite)"},{"response_id":16475,"probe_id":6023,"sample":1,"system":"public_api","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless API\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast to write, mature ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Auto-docs, high-performance for APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ultra-low latency, global, built-in API gateway\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"client\",\n      \"reason\": \"No server overhead, ACID, spins up in memory\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Lightning cache with low cost\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQLite with triggers\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"client\",\n      \"reason\": \"Embedded queues via triggers, no extra cost\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"None\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles API keys, quotas, billing webhooks built-in\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global Postgres + VMs free tier + generous limits\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Axiom\",\n      \"provider\": \"Axiom\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier fits budget, logs + metrics\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Hosted runners free for public repos\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure billing, webhook integrations\"\n    }\n  ],\n  \"main_risk\": \"SQLite fails under heavy write concurrency; mitigated by Fly.io VM limits and Fly Postgres add-on fallback.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16472,"probe_id":6023,"sample":1,"system":"public_api","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"serverless + managed services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Next.js (React)\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast developer velocity, static dashboard and API routes deployment.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js (TypeScript)\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High productivity and ecosystem for API tooling and libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js API routes\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified frontend/backend deployments, built-in serverless function model.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized machine-readable API spec for clients and docs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational DB with free-tier and easy developer tooling.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost managed Redis for rate-limits and short-lived counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams (or lists)\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simple, inexpensive queue for webhook delivery and retry scheduling.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store log payloads, webhooks, and artifacts within the same platform.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / JWT\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles dashboard auth; API keys stored and rotated in Postgres.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Serverless edge functions\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global routing, free tier, and simple scaling for small teams.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error and performance monitoring\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error tracking, integrates with Vercel and Node.js.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI minutes for public repos and integrated deployments to Vercel.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"PCI-compliant billing API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Industry-standard billing, subscriptions, invoices, and webhook support.\"\n    }\n  ],\n  \"main_risk\": \"Dependence on a few managed services (Vercel, Supabase, Upstash) creates operational vulnerability and soft limits risk.\",\n  \"first_component_to_replace_at_scale\": \"cache\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16482,"probe_id":6023,"sample":1,"system":"public_api","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"serverless api\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Fast iteration with 2 engineers\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Native async and JSON support\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"neon\",\n    \"provider\": \"neon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Serverless postgres under $50/mo\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": \"upstash\",\n    \"provider\": \"upstash\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Cheap webhook queuing and retries\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"api keys\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Built into FastAPI with quotas\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"containers\",\n    \"service\": \"fly\",\n    \"provider\": \"fly.io\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Global HA under $50/mo\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": \"grafana cloud\",\n    \"provider\": \"grafana labs\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Free tier metrics and alerts\"\n  }],\n  \"main_risk\": \"Managed services may exceed $200 under sudden traffic spikes\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"Grok"},{"response_id":16503,"probe_id":6024,"sample":1,"system":"public_api","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"API-first microservices on Kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": \"Kong API Gateway\",\n      \"provider\": \"Kong Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native API key, quota, billing, and webhook support at scale\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal memory, fast concurrency for 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient internal service communication and multiplexing\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for billing and quota tracking\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast quota checks and API key validation at 100k req/s\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Webhook delivery, billing events, audit logs durably\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Webhook payloads and audit log retention\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 and API Keys\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built into Kong; no external identity provider needed\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"Amazon EC2\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Predictable capacity for baseline 100k concurrent\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling, self-healing, and deployment consistency\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Real-time quota, latency, and error monitoring across services\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitOps\",\n      \"service\": \"ArgoCD\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative, repeatable deployments to EKS\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Apache Iceberg\",\n      \"service\": \"Amazon Athena\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Query Kafka events in S3 for usage trends and billing reports\"\n    }\n  ],\n  \"main_risk\": \"Postgres becomes write bottleneck under billing and quota load; requires careful schema indexing and potential read replicas.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16576,"probe_id":6024,"sample":1,"system":"public_api","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Developer dashboard for API key management and usage analytics.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory management for services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http\",\n      \"service\": null,\n      \"provider\": \"Go standard library\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, standard library, no external dependencies for microservices.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API gateway with built-in authentication, rate limiting, and quota enforcement.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for user accounts, API keys, plans, and billing data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Distributed rate limiting counters and high-speed session cache.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable ordered event streaming for webhooks, usage logs, and billing events.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Store webhook delivery logs, payload archives, and static frontend.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time OLAP queries for usage dashboards and quota monitoring.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global cloud infrastructure ensuring high availability across regions.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration to auto-scale stateless microservices efficiently.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring, tracing, and log management for the entire stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deploy pipelines with GitOps integration.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Subscription billing, metered usage, invoicing, and payment processing.\"\n    }\n  ],\n  \"main_risk\": \"Ensuring accurate rate limiting and billing under 100k concurrent API requests may overwhelm caches and queues.\",\n  \"first_component_to_replace_at_scale\": \"api\"\n}","model_label":"DeepSeek"},{"response_id":16504,"probe_id":6024,"sample":1,"system":"public_api","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"Go\",\n      \"service\": \"Go\",\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and excellent performance for low-latency network I/O.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and mature replication for high-availability transactional billing.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memory Store\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Extremely fast key-value access required for rate limiting and quota enforcement.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable high-throughput ingestion for webhook delivery and asynchronous billing pipelines.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized scaling and automated lifecycle management for high-demand API workloads.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex token management and security compliance at large scale.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring and alerting are critical for maintaining 99.99% availability.\"\n    }\n  ],\n  \"main_risk\": \"Database write contention during sudden traffic spikes for popular API keys.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16512,"probe_id":6024,"sample":1,"system":"public_api","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless microservices\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global auto-scaling, native API keys and quotas\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event-loop for high concurrency with minimal ops\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Express.js\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Minimal boilerplate, battle-tested route handling\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL Serverless v2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Instant multi-AZ scaling to 100K concurrent\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable in-memory store for webhooks and rate limits\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon MemoryDB Streams\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Same infra as cache reduces ops surface\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"API key & JWT issuance at scale without code\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Per-request scaling matches 10M monthly users\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"AWS Step Functions\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Coordinate long-running billing and webhooks\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Amazon CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Built-in dashboards and alarms for 100K users\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"2000 job concurrency satisfies fast builds\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Amazon OpenSearch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless indexes API telemetry cheaply\"\n    }\n  ],\n  \"main_risk\": \"Cold starts in Lambda may spike latency under sudden load.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16509,"probe_id":6024,"sample":1,"system":"public_api","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-managed microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Single Page App (React)\",\n      \"service\": \"Amazon S3 + Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast global CDN for developer portal and SDK hosting.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency, highly concurrent API servers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin (Go web framework)\",\n      \"service\": null,\n      \"provider\": \"Gin Gonic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP routing and middleware.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Reverse proxy / API gateway\",\n      \"service\": \"Amazon API Gateway (REST)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Edge routing, usage plans, throttling, and key enforcement.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Relational DB (PostgreSQL-compatible)\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency, high availability, and read replica support.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"NoSQL key-value store\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Massive throughput for counters, quota state, and hot lookups.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"In-memory key-value store (Redis)\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and distributed locks for quota enforcement.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable delivery for background jobs and webhooks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Search engine (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast developer-portal search and audit log querying.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store SDKs, logs, and large webhook payloads durably.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket / pubsub\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scale real-time notifications and developer connection updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / API key management\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Developer accounts, JWTs, and identity lifecycle management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"CDN + static hosting\",\n      \"service\": \"Amazon CloudFront + S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global static hosting for portal and SDK assets.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Container orchestration (serverless containers)\",\n      \"service\": \"Amazon ECS (Fargate)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Run containerized services without managing Kubernetes control plane.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"APM, metrics, logging\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified traces, metrics, logs, and alerting across services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD platform\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD with integrated secrets, actions, and deployment workflows.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Data warehouse\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Aggregate developer metrics and billing analytics at scale.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Payment processing\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handle subscription billing, invoices, and payment UX.\"\n    }\n  ],\n  \"main_risk\": \"Heavy dependence on a single cloud (AWS) creates availability and vendor lock-in risks during regional outages.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16523,"probe_id":6024,"sample":1,"system":"public_api","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"serverless API platform\",\n  \"components\": [{\n    \"role\": \"api\",\n    \"technology\": null,\n    \"service\": \"API Gateway\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Handles keys, quotas, HA at scale\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"RDS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Persist keys, usage, billing records\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"ElastiCache\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Enforce quotas and rate limits\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"message queue\",\n    \"service\": \"SQS\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Reliable async webhook delivery\"\n  }, {\n    \"role\": \"other\",\n    \"technology\": null,\n    \"service\": \"Stripe\",\n    \"provider\": \"Stripe\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Managed billing and subscriptions\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": null,\n    \"service\": \"CloudWatch\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Metrics, logs, alerting for HA\"\n  }],\n  \"main_risk\": \"Deep AWS lock-in limits future portability.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16539,"probe_id":6025,"sample":1,"system":"public_api","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Managed API platform with European data residency\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST API\",\n      \"service\": \"Scaleway API Gateway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-native provider, built-in API key management, quota enforcement, webhook support\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid API development, strong ecosystem for billing and webhook integrations\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, built-in async, automatic OpenAPI documentation for developers\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU hosting, managed control plane, high availability across zones\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native to Kapsule, handles pod scaling and multi-zone failover\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Scaleway Database\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU residency, ACID compliance for billing, automated backups and HA\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scaleway Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU provider, fast quota/rate-limit checks, session caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Scaleway Messaging\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous billing events and webhook delivery, EU-hosted\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-native, audit logs for compliance, cost-effective for billing documents\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT with local validation\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless API key validation, no external auth dependency, low latency\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Loki\",\n      \"service\": \"Grafana Cloud (EU)\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data center option, comprehensive metrics and logs, alerting for SLA\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with repository, runners in EU region, no EU data storage required\"\n    }\n  ],\n  \"main_risk\": \"Single-vendor dependency on Scaleway for critical infrastructure; mitigate via multi-region failover plan.\",\n  \"first_component_to_replace_at_scale\": \"Scaleway Object Storage if document volume exceeds 100TB; switch to S3-compatible with Wasabi or similar for cost.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16609,"probe_id":6025,"sample":1,"system":"public_api","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem, strong third-party library support for developer APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development with built-in admin, ORM, and security features.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"API Gateway\",\n      \"service\": \"Scaleway API Gateway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed EU-hosted gateway handling API keys, rate limiting, and quotas natively.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Scaleway Managed Database for PostgreSQL\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliant, EU-hosted managed service with high availability.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scaleway Managed Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caches API responses and rate-limit counters for low-latency access.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scaleway Managed Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Broker for Celery tasks: webhook delivery, billing events, async processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-local S3-compatible storage for logs, static assets, and webhook payloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana, Loki, Mimir\",\n      \"service\": \"Scaleway Cockpit\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted unified metrics, logs, and tracing with prebuilt dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with GitHub, automated testing and deployment pipelines.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-managed Kubernetes for deploying the Django monolith and workers.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to Scaleway's ecosystem and limited multi-region presence outside Europe may hinder global low-latency expansion.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16541,"probe_id":6025,"sample":1,"system":"public_api","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high performance with low memory overhead for API-heavy workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides extreme throughput and low latency for request processing.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": null,\n      \"provider\": \"Kong Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles rate limiting, authentication, and quota management efficiently at the edge.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage with strict GDPR compliance capabilities in EU regions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Essential for high-speed rate limit lookups and quota validation.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Supports high-performance messaging for reliable webhook delivery and asynchronous billing tasks.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container management with support for regional clusters in Frankfurt.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security authentication to a proven external leader.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Robust metrics and alerting capability essential for maintaining API high availability.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes during mass webhook delivery could degrade core API performance if not properly isolated via queuing.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16548,"probe_id":6025,"sample":1,"system":"public_api","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless_API_gateway\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"Amazon API Gateway\",\n      \"service\": \"API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed, handles keys, quotas, CORS, and high availability.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong ecosystem for async web services and data processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Minimalist, async-first, OpenAPI-first, high performance.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"PostgreSQL with multi-AZ, encryption at rest, EU region support.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency cache for rate limiting, sessions, transient data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"RabbitMQ\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed RabbitMQ cluster, highly available, EU-based.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade auth, key rotation, webhook hooks, GDPR-compliant.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"API Gateway WebSockets\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles persistent connections for webhooks without extra infra.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, encrypted object storage with EU endpoint support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"ECS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers, pay per use, auto-scaling, EU-West region.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight orchestration integrated with Fargate, no extra cost.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, and alarms; integral to AWS stack.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native build, test, deploy pipeline with EU runners.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"AWS Clean Rooms\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-preserving analytics using aggregated, EU-resident data.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"Stripe Billing\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"PCI-compliant billing, EU acquirers, subscription lifecycle.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to AWS plus third-party SaaS ecosystem.\",\n  \"first_component_to_replace_at_scale\": \"ECS Fargate\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16558,"probe_id":6025,"sample":1,"system":"public_api","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes_microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive developer portal and dashboard, lightweight, widely supported.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low latency, efficient concurrency, excellent for high-throughput APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, fast HTTP framework for Go, suits microservices.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong Gateway\",\n      \"service\": null,\n      \"provider\": \"Kong\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Per-key authentication, rate limiting, plugin ecosystem; self-hosted ensures EU data residency.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"OVHcloud Managed DB for PostgreSQL\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable relational storage with EU-managed service and data residency.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud (EU)\",\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-throughput analytics for billing, usage, and event queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis Enterprise Cloud (EU)\",\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and counters for quotas and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP (EU)\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable delivery for webhooks, retries, and background job processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible Object Storage\",\n      \"service\": \"OVHcloud Object Storage (S3)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted object storage for logs, attachments, and backups.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API key, OAuth, and user management under full EU control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Hetzner Cloud\",\n      \"service\": \"Hetzner Cloud (EU)\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective EU infrastructure and data residency.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Kubernetes Service (HKS)\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard container orchestration with managed control plane in EU.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana/OpenTelemetry/Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and traces self-hosted to keep personal data in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD with self-hosting to ensure EU data residency.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics self-hosted to avoid third-party EU data transfer.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Payments API\",\n      \"service\": \"Mollie Payments\",\n      \"provider\": \"Mollie\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European payments provider with strong EU data handling and compliance.\"\n    }\n  ],\n  \"main_risk\": \"Reliance on single-region EU managed services risks region-wide outages and complicates failover and recovery.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16557,"probe_id":6025,"sample":1,"system":"public_api","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"api gateway platform\",\n  \"components\": [{\n    \"role\": \"api\",\n    \"technology\": \"kong\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles keys, quotas and webhooks\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU storage of keys and personal data\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async webhooks and billing jobs\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"scaleway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU high availability orchestration\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and uptime monitoring\"\n  }],\n  \"main_risk\": \"All components share one EU provider creating regional outage risk.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16572,"probe_id":6026,"sample":1,"system":"public_api","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"High-availability microservices with API gateway and event-driven billing\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source API gateway with native key auth, quota plugins, and webhook routing\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem for billing logic, webhooks, and rapid iteration\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance, async-native, excellent for webhook delivery and quota enforcement\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for billing ledger and API keys; strong consistency required\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast quota tracking and key validation; supports rate limiting at scale\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable webhook delivery and billing event processing with guarantees\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Multi-region HA, load balancing, and auto-scaling for API tier\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics for quota/billing accuracy and distributed logs for debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-contained pipeline for API versioning and quota enforcement policy rollout\"\n    }\n  ],\n  \"main_risk\": \"Quota enforcement race conditions under concurrent requests; Redis replication lag can cause overage.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ—switch to Kafka for webhook delivery durability and consumer group replay at high volume\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16681,"probe_id":6026,"sample":1,"system":"public_api","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance compiled language for API services\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP web framework for Go\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API gateway handling keys, quotas, rate limiting, and routing\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable transactional store for users, API keys, and billing data\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar database for high-volume API call logs and webhook events\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Distributed rate-limit counters and caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message broker for webhook delivery and async tasks\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Kill Bill\",\n      \"service\": \"Kill Bill\",\n      \"provider\": \"Kill Bill Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source subscription billing and invoicing\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for high availability and scaling\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Base operating system for all self-hosted services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Grafana, Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards for monitoring\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab B.V.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Continuous integration and deployment pipeline\"\n    }\n  ],\n  \"main_risk\": \"Operating many self-hosted stateful components (PostgreSQL, ClickHouse, Redis, RabbitMQ) in-house demands deep operational expertise.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"DeepSeek"},{"response_id":16577,"probe_id":6026,"sample":1,"system":"public_api","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers high performance with robust concurrency for handling heavy API traffic.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides mature rate-limiting, authentication, and logging out-of-the-box.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational integrity is essential for complex billing and customer state management.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for low-latency quota validation and API key verification.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message delivery for asynchronous webhook processing and billing tasks.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ensures high availability and elastic scaling across self-managed infrastructure.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for monitoring API metrics, throughput, and system health.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of managing distributed state in a self-hosted environment.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16585,"probe_id":6026,"sample":1,"system":"public_api","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"open-source API platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"Cloudflare CDN\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Edge caching, DDoS protection, and TLS termination.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ecosystem rich in API and async libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async, OpenAPI-native, high-performance Python framework.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Envoy\",\n      \"service\": null,\n      \"provider\": \"Envoy Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance L7 proxy with rate limiting and JWT auth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID-compliant, extensible, battle-tested relational store.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput, atomic counters, and pub/sub via single binary.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust AMQP broker, dead-letter queues, and HA mode built-in.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage and lifecycle policies on-prem.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"ORY Hydra\",\n      \"service\": null,\n      \"provider\": \"ORY\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OAuth2/OIDC provider with consent and consent revocation flows.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Equinix Metal\",\n      \"provider\": \"Equinix\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Bare-metal automation for predictable API latency at scale.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Portable, declarative deployments with overlay networking.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pull-based metrics with alerting rules and TSDB scalability.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Consolidated dashboards and unified alerting interface.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Tekton\",\n      \"service\": null,\n      \"provider\": \"Kubernetes SIG-Release\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cloud-native pipelines and reusable task definitions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar analytics engine for high-cardinality billing events.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted Auth provider (Hydra) adds operational surface area.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16590,"probe_id":6026,"sample":1,"system":"public_api","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-go-api-platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page developer console and docs, widely supported and self-hostable assets.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency concurrency, small binary footprint, good for API services and workers.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"gin-gonic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, fast HTTP framework matching Go idioms for API and webhook workers.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong Gateway (NGINX/Lua)\",\n      \"service\": null,\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API keys, rate-limiting, quotas, routing, and plugin ecosystem for webhooks.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational ACID transactions for billing, quotas, and developer account data.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL + Patroni (replica/HA)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Synchronous replicas and automated failover for high availability and read scaling.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast in-memory store for rate-limit counters and short-lived auth/session data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS JetStream\",\n      \"service\": null,\n      \"provider\": \"NATS Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable streams for webhook delivery, background jobs, and event ingestion.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search and analytics over logs, events, and developer activity.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO (S3-compatible)\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Store artifacts, webhooks payload backups, and large billing/export files S3-compatible.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS (core)\",\n      \"service\": null,\n      \"provider\": \"NATS Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency pub/sub for realtime usage metrics and admin dashboards.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Ory Kratos\",\n      \"service\": null,\n      \"provider\": \"Ory\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Developer account management, self-hostable, integrates with gateway for API auth.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux virtual machines\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Run self-hosted control plane and stateful services on VMs or bare-metal.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard container orchestration for HA deployments and rolling upgrades.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and logs for SLA monitoring and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab Community Edition\",\n      \"service\": null,\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated source, CI pipelines, and container registry under self-hosted control.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": null,\n      \"provider\": \"Metabase, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Business analytics and dashboards for billing, usage, and developer metrics.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"custom Go service (webhook dispatcher)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Worker that reliably delivers webhooks, retries, signs payloads, and records status.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of running and operating a fully self-hosted, highly available control plane.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16596,"probe_id":6026,"sample":1,"system":"public_api","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA public developer API with keys, quotas, webhooks, billing, and high availability.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven api\",\n  \"components\": [\n    {\"role\": \"api\", \"technology\": \"kong\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"handles keys quotas routing\"},\n    {\"role\": \"backend_framework\", \"technology\": \"fastapi\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"implements billing webhook logic\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"stores keys usage billing state\"},\n    {\"role\": \"cache\", \"technology\": \"redis\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"quota counters rate limits\"},\n    {\"role\": \"queue\", \"technology\": \"rabbitmq\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"reliable webhook dispatch\"},\n    {\"role\": \"orchestration\", \"technology\": \"kubernetes\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"high availability scaling\"},\n    {\"role\": \"observability\", \"technology\": \"prometheus\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"monitor health metrics\"}\n  ],\n  \"main_risk\": \"self-managed kong and rabbitmq increase ops load for HA\",\n  \"first_component_to_replace_at_scale\": \"rabbitmq\"\n}","model_label":"Grok"},{"response_id":16606,"probe_id":6027,"sample":1,"system":"internal_tool","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"monolithic web application with operational observability\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich UI for complex workflows and approval interfaces required\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development for internal tools; strong ecosystem for reporting\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in admin, ORM, auth; ideal for CRUD-heavy internal operations\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, simple contracts for internal workflows and integrations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees critical for approval workflows; managed reduces ops burden\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage and workflow state caching; managed service reduces complexity\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": \"Celery Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async task processing for approval notifications and report generation\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrate with corporate identity provider; delegated internal authentication\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes on AWS/GCP handles scaling and operational overhead\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Proactive alerting and dashboards essential for operational tool reliability\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Minimal friction for internal team; already integrated with source control\"\n    }\n  ],\n  \"main_risk\": \"Monolithic bottleneck if approval workflows become concurrent under heavy load; complex state transitions prone to bugs.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16672,"probe_id":6027,"sample":1,"system":"internal_tool","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Monolithic backend with async task workers and reporting read replica\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for workflow and approvals UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Runtime for Django application\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development with admin, ORM, and workflow logic\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational store for records, approvals, and transactional integrity\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL (read replica)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Dedicated read replica isolating reporting queries from main workload\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store and caching for performance\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": \"Celery Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async workflow tasks (email notifications, approval escalations)\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store attachments and generated reports\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"LDAP\",\n      \"service\": \"Active Directory\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enterprise single sign-on integration\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cloud infrastructure with managed services\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"AWS ECS Fargate\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container orchestration for Django app and workers\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Prometheus and Grafana\",\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitoring, alerting, and dashboards for health and performance\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment pipelines\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": \"Metabase\",\n      \"provider\": \"Metabase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-service reporting on read replica without impacting production\"\n    }\n  ],\n  \"main_risk\": \"Monolith scaling bottlenecks may emerge under high workflow volumes, risking database contention and frontend responsiveness.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16612,"probe_id":6027,"sample":1,"system":"internal_tool","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich ecosystem for complex internal UI components.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified language for frontend and backend improves team velocity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides structured architecture suitable for enterprise workflow applications.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity is mandatory for approval and record-keeping systems.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and integrates with corporate SSO.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized deployment platform for scalability and operational consistency.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive visibility into service interactions and request tracing.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Deep integration with source control simplifies deployment automation.\"\n    }\n  ],\n  \"main_risk\": \"Security/compliance breaches due to improper access control on sensitive workflow data.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework\"\n}","model_label":"Gemini (lite)"},{"response_id":16622,"probe_id":6027,"sample":1,"system":"internal_tool","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"simple monolith with shared services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Industry-standard UI framework with broad ecosystem support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"PSF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast prototyping, readability, strong typing via runtime tools.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included web framework with built-in admin and auth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable, ACID-compliant OLTP with mature tooling and HA options.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency data access for sessions, locks, and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust message broker with wide protocol support and durability.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature identity provider with SSO, MFA, and audit trails.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Elastic, scalable compute with global footprint and price flexibility.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight container orchestration matching existing AWS footprint.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standardized telemetry with logs, metrics, tracing integration.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native to source control with broad library of actions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"QuickSight\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless BI tool integrated with data lake and warehouse.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to AWS for orchestration and hosting increases migration cost.\",\n  \"first_component_to_replace_at_scale\": \"ECS\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16616,"probe_id":6027,"sample":1,"system":"internal_tool","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-managed microservices (monolith-backend)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for internal workflows and fast interactive approvals.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem for web, workflows, and data processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included, ORM, admin UI for internal operations.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Clear REST contracts for integrations and automation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational consistency, complex queries, auditing, and reporting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast session storage, locks, and rate-limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable task queue for background jobs and notifications.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store attachments, exports, and immutable records.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Text search and fast aggregations for reporting and lookup.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Okta\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise SSO, MFA, and centralized identity management.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for deployments, scaling, and isolation.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Traces, metrics, and logs with hosted dashboards and alerts.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with branch workflows and artifact storage.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL-based BI\",\n      \"service\": \"Metabase Cloud\",\n      \"provider\": \"Metabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Ad-hoc reporting and dashboards for non-technical stakeholders.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Temporal\",\n      \"service\": \"Temporal Cloud\",\n      \"provider\": \"Temporal\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, versioned workflow orchestration with retries and visibility.\"\n    }\n  ],\n  \"main_risk\": \"Heavy dependence on AWS managed services increases vendor lock-in and cost risk at large scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16630,"probe_id":6027,"sample":1,"system":"internal_tool","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"spa with api backend\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"browser ui for workflows and reporting\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"javascript\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"single language for full stack\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"express\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight rest api and routing\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable storage for records and approvals\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple token auth for internal users\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"container orchestration for production\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting standard\"\n  }],\n  \"main_risk\": \"self-hosted database becomes single point of failure under load\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16642,"probe_id":6028,"sample":1,"system":"internal_tool","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic web app with serverless functions\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low complexity UI, fast iteration, large ecosystem for small team\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, excellent workflow automation libraries, team familiar\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, built-in async, automatic API documentation\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational structure suits workflows; Railway free tier covers usage\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No external dependency cost, suitable for internal tool\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"Railway\",\n      \"provider\": \"Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Single platform for app and database, free tier sufficient, predictable costs\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, integrated with GitHub, minimal configuration\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built into Railway logs; no separate tool needed at this scale\"\n    }\n  ],\n  \"main_risk\": \"Railway free tier bandwidth or compute limits may be exceeded if workflows scale significantly; two engineers managing all aspects limits incident response capacity.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16683,"probe_id":6028,"sample":1,"system":"internal_tool","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"HTML/CSS/JavaScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Server-rendered pages via backend framework, no SPA needed.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"PHP\",\n      \"service\": null,\n      \"provider\": \"The PHP Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature, low-resource language ideal for internal tools.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Laravel\",\n      \"provider\": \"Laravel LLC\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included for workflows, queues, auth, reporting.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Zero-operational overhead, fits low-concurrency internal usage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Laravel database queue driver, no separate infrastructure.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Laravel Auth\",\n      \"provider\": \"Laravel LLC\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in session-based authentication, no external service.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Private Server\",\n      \"service\": \"DigitalOcean Droplet\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"$6/month droplet, reliable and fits <$200 budget.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error tracking, adequate for small team.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for small teams, simple rsync deployment to VPS.\"\n    }\n  ],\n  \"main_risk\": \"SQLite concurrency limits could bottleneck if user count and write operations grow unexpectedly.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16649,"probe_id":6028,"sample":1,"system":"internal_tool","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic Serverless\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offers simple deployment and global CDN reach for low cost.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Allows sharing types between frontend and backend for development velocity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Consolidates frontend and API routes into a single deployable unit.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless PostgreSQL fits the small budget while providing full ACID compliance.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"NextAuth.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simplifies implementation with built-in support for enterprise identity providers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Combines feature flagging, session recording, and analytics in one tool.\"\n    }\n  ],\n  \"main_risk\": \"Tight coupling between the frontend and backend in a monolith may complicate future microservice migrations.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16656,"probe_id":6028,"sample":1,"system":"internal_tool","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith_with_events\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast iteration with minimal ops overhead\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Tight 2-person constraints, ecosystem fit\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-native for future scaling, mature libs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"FastAPI REST endpoints\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built into FastAPI, saves extra layer\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Zero config, file-based, fits budget constraints\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"FastAPI process memory cache\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ultra-cheap, sufficient for small write volume\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Celery with SQLite broker\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Embedded broker keeps cost at $0\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Local filesystem with daily tarball backup\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No SaaS needed for low volume assets\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"FastAPI security utilities + SQLite sessions\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in, avoids external OAuth complexity\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io Hobby VM\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"160 MB RAM free tier, Postgres upgrade path\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single Dockerfile, deploy anywhere\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Django Debug Toolbar + Python logs\",\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Embedded tooling, no marginal cost\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"2000 free minutes/month, integrates natively\"\n    }\n  ],\n  \"main_risk\": \"SQLite may struggle if concurrent writes exceed ~100/sec.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16653,"probe_id":6028,"sample":1,"system":"internal_tool","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"Jamstack + Supabase\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Next.js (React)\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast deployment, serverless routes, free hobby tier for internal apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single language across frontend and serverless functions reduces cognitive load.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js API Routes\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Co-located serverless APIs minimize operational overhead for two engineers.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"PostgREST\",\n      \"service\": \"Supabase PostgREST\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Expose database-backed REST endpoints without custom CRUD boilerplate.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase (managed Postgres)\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational data, RLS, and SQL-first queries for workflows and reporting.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Postgres LISTEN/NOTIFY\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Built-in realtime updates without adding extra messaging infrastructure.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"GoTrue (JWT)\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Email/magic-link and JWT integration with Postgres policies out of box.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Integrated file storage for attachments and records, low operational cost.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Edge serverless (Vercel)\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero-ops deploys for frontend and API routes, fits small-team budget.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Error and performance monitoring with a free team tier for debugging.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free minutes for small teams and easy scheduling for background jobs.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": \"Hetzner Cloud VPS\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cheap self-hosted BI for internal reports and ad-hoc SQL dashboards.\"\n    }\n  ],\n  \"main_risk\": \"Single-vendor dependency on Supabase for auth, database, and realtime increases migration and lock-in risk.\",\n  \"first_component_to_replace_at_scale\": \"analytics\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16663,"probe_id":6028,"sample":1,"system":"internal_tool","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple for two engineers\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in admin and auth for ops\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"django default with low cost\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"vm\",\n    \"service\": \"droplet\",\n    \"provider\": \"digitalocean\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"under $20 monthly\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"github actions\",\n    \"service\": null,\n    \"provider\": \"github\",\n    \"delivery\": \"saas\",\n    \"reason\": \"free tier sufficient\"\n  }],\n  \"main_risk\": \"no redundancy means any VM failure takes the app offline\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16345,"probe_id":6029,"sample":1,"system":"internal_tool","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"distributed microservices with event-driven workflows\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich UI for complex workflow forms and approvals; team expertise\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles 100k concurrent users efficiently; fast compilation; strong concurrency\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency inter-service communication; binary protocol scales to 10M MAU\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard client interface; multiplexing reduces latency for many concurrent requests\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"managed RDS or equivalent\",\n      \"provider\": \"AWS or GCP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for approvals and records; proven at scale; managed handles failover\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"managed ElastiCache or equivalent\",\n      \"provider\": \"AWS or GCP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond session and workflow state access; clustering supports 100k concurrent\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"managed MSK or equivalent\",\n      \"provider\": \"AWS or GCP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples workflow submissions from approval processing; durability for audit trail\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"managed OpenSearch or equivalent\",\n      \"provider\": \"AWS or GCP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text records search; analytics aggregations; managed handles tuning\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"S3 or Cloud Storage\",\n      \"provider\": \"AWS or GCP\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Stores approval documents and audit logs; unlimited capacity; built-in replication\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with OIDC\",\n      \"service\": \"internal or Okta\",\n      \"provider\": \"internal or Okta\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Enterprise integration for internal tool; MFA; session management at scale\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE or EKS\",\n      \"provider\": \"GCP or AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates 100k concurrent load across stateless Go services; auto-scaling\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": \"managed or self-hosted\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics for resource bottlenecks; distributed tracing for approval latency\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab or self-hosted runner\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native Kubernetes integration; built-in container registry; audit logs for compliance\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL queries on PostgreSQL replica\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reports and metrics directly from primary database replica; no external dependency\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL write throughput under 100k concurrent users; mitigation: horizontal sharding by tenant or workflow ID.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16424,"probe_id":6029,"sample":1,"system":"internal_tool","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich SPA for interactive workflows, approvals, and reporting.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe async language for API and event processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modular structure with native event patterns and GraphQL support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": null,\n      \"provider\": \"The GraphQL Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified flexible API for diverse frontend and reporting queries.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity and rich indexing for records and approvals.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and pub/sub for realtime notifications.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable event log for reliable workflow state transitions.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and fast aggregations for records and reports.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable storage for approval document attachments.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Instant approval updates and notifications via WebSockets.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Okta\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise SSO for workforce identity and access management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon Web Services\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global cloud infrastructure for all managed services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration and auto-scaling for microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, and traces for debugging the system.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deploy pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": \"Metabase\",\n      \"provider\": \"Metabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Self-service reporting and dashboards on top of PostgreSQL and Elasticsearch.\"\n    }\n  ],\n  \"main_risk\": \"Scaling the workflow engine to reliably process 100k concurrent state transitions.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework\"\n}","model_label":"DeepSeek"},{"response_id":16347,"probe_id":6029,"sample":1,"system":"internal_tool","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for complex internal dashboards and workflow interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and low latency execution for 100k requests.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary serialization for high-volume internal service communication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and ACID compliance for critical workflow state management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High throughput and durability for managing millions of asynchronous workflow events.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond latency for session state and frequently accessed approval data.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration for scaling services to support 100k concurrent users.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified tracing and metrics necessary for debugging complex distributed workflows.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Okta\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure, reliable identity management integrated with enterprise directory services.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, highly available storage for workflow attachments and report exports.\"\n    }\n  ],\n  \"main_risk\": \"Database contention and locking when processing high-frequency concurrent state updates across multiple workflows.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16354,"probe_id":6029,"sample":1,"system":"internal_tool","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable SSR/PR enabling high concurrency with minimal ops.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Strong typing reduces runtime errors across microteams.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"serverless\",\n      \"reason\": \"Handles 100k+ concurrent requests without scaling ops.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": \"AWS API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed, auto-scaling REST facade over Lambda functions.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High throughput, strong consistency, and built-in HA.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Handles sparse, high-cardinality workflow records efficiently.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session and approval state caching at scale.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Decouple workflow steps; auto-scales without limits.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Lucene\",\n      \"service\": \"OpenSearch Serverless\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Instant approval record search without ops burden.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, cheap storage for audit logs and reports.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": \"AppSync\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pushes live approval notifications to thousands of users.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": \"Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles 10M MAUs with minimal user management overhead.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Global Accelerator\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency routing to Lambda micro-functions worldwide.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Step Functions\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Orchestrates complex multi-step approval workflows reliably.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"CloudWatch\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized logs, metrics, and traces without extra servers.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Git\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Full code automation to serverless is native on GitHub.\"\n    }\n  ],\n  \"main_risk\": \"A single AWS region outage could disrupt the entire user base.\",\n  \"first_component_to_replace_at_scale\": \"Next.js frontend\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16355,"probe_id":6029,"sample":1,"system":"internal_tool","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices_kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Reusable component ecosystem for complex internal UIs.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Share UI and business logic with web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, small memory footprint.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP framework for Go microservices.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC + REST gateway\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient internal RPC with REST compatibility for external clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID workflows and approvals with mature tooling and backups.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Columnar OLAP (Redshift)\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast analytical queries and reporting on event/transaction data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency session, rate-limit, and computed value caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable high-throughput event streaming for audits and workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and fast filtered queries for records.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for documents, attachments, and audit snapshots.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable client realtime channels for notifications and live updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Okta\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise SSO, lifecycle, and audit-ready identity management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Containers (containerd)\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers reduce infra management and scale pods automatically.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard orchestration, autoscaling, and ecosystem for microservices.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry + Prometheus + Grafana\",\n      \"service\": \"Amazon Managed Service for Prometheus and Amazon Managed Grafana\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"End-to-end metrics, traces, and dashboards with vendor integrations.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD pipelines\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated source-to-deploy pipelines with widespread community actions.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"dbt\",\n      \"service\": \"dbt Cloud\",\n      \"provider\": \"dbt Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Modular ELT transformations and tested data models on Redshift.\"\n    }\n  ],\n  \"main_risk\": \"Primary PostgreSQL on RDS may become a scaling bottleneck; migrating to distributed SQL will be required.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16367,"probe_id":6029,"sample":1,"system":"internal_tool","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"react\", \"service\": null, \"provider\": null, \"delivery\": \"client\", \"reason\": \"rich interactive workflows UI\"},\n    {\"role\": \"backend_language\", \"technology\": \"go\", \"service\": null, \"provider\": null, \"delivery\": null, \"reason\": \"handles 100k concurrent efficiently\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"ACID records and approvals\"},\n    {\"role\": \"cache\", \"technology\": \"redis\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"low-latency session and state\"},\n    {\"role\": \"queue\", \"technology\": \"kafka\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"reliable workflow orchestration\"},\n    {\"role\": \"auth\", \"technology\": \"oauth2\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"internal SSO integration\"},\n    {\"role\": \"hosting\", \"technology\": \"kubernetes\", \"service\": null, \"provider\": \"cncf\", \"delivery\": \"self_hosted\", \"reason\": \"scales to 10M MAU\"},\n    {\"role\": \"observability\", \"technology\": \"prometheus\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"monitors high-concurrency services\"}\n  ],\n  \"main_risk\": \"Kafka and Kubernetes ops complexity risks instability at 100k concurrent.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16382,"probe_id":6030,"sample":1,"system":"internal_tool","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic backend with SPA frontend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UI for workflows, approvals, and reporting dashboards\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development for internal tool with strong data handling\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, admin, auth; ideal for workflows and approvals\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard internal API; adequate for internal operations tool\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for records and approvals; EU hosting available\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session storage and workflow state caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async approval notifications and report generation\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Records and workflows searchable via native PostgreSQL capability\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based S3 alternative; document attachments for workflows\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django session + LDAP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Internal corporate directory integration; no external identity needed\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted in EU datacenter; full data sovereignty control\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + ELK\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack; no data leaves EU infrastructure\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GitLab offers EU data residency option; integrated with DevOps\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted Kubernetes in EU datacenter requires significant operational overhead and security expertise for compliance maintenance.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16447,"probe_id":6030,"sample":1,"system":"internal_tool","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular monolith with async queue workers\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for responsive internal workflows and approvals.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, single binary for low ops overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API consumed by the React frontend and external systems.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Scaleway Managed Database for PostgreSQL\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID, mature, EU-hosted managed service.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scaleway Managed Database for Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session and hot-data caching, EU-managed offering.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": \"Scaleway Managed Database for Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight async workflow trigger, same EU Redis service.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-resident file store for record attachments and reports.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2/OIDC\",\n      \"service\": \"ZITADEL Cloud\",\n      \"provider\": \"ZITADEL\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European identity provider, SaaS with EU data residency.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kubernetes Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU control plane, managed Kubernetes for workloads.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Workload orchestration runs on the managed cluster.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted on cluster for full EU data control.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab SaaS\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European-based pipeline with EU SaaS region available.\"\n    }\n  ],\n  \"main_risk\": \"Deep Scaleway dependency may limit multi-cloud portability despite open standards.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16385,"probe_id":6030,"sample":1,"system":"internal_tool","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers excellent performance, static typing, and single-binary deployment for simplified operations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides a high-performance, minimalist routing framework perfect for workflow-oriented internal tools.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Managed Database for PostgreSQL\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides strict ACID compliance for approvals and record-keeping with high performance in EU data centers.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ensures all identity data stays within our infrastructure to meet strict EU compliance requirements.\"\n    },\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standardized ecosystem for building complex, interactive interfaces for workflow management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, EU-based infrastructure provider with integrated Kubernetes support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana Loki\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized logging and monitoring while utilizing their EU-West region for data residency.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Optimizes developer velocity through integrated CI/CD pipelines.\"\n    }\n  ],\n  \"main_risk\": \"Dependency on a single cloud provider for infrastructure may introduce vendor lock-in and availability risks.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16392,"probe_id":6030,"sample":1,"system":"internal_tool","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": \"Vercel\",\n    \"provider\": \"Vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"Rapid deployment and global edge network for EU users\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Strong typing via type hints and mature open source libraries\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Django\",\n    \"service\": null,\n    \"provider\": \"Django Software Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Built-in admin, auth, and ORM suitable for internal tools\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Robust ACID compliance and strong EU hosting options\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"In-memory speed for repeated workflow steps and approvals\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"RabbitMQ\",\n    \"service\": null,\n    \"provider\": \"RabbitMQ Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Lightweight and reliable message broker for internal ops\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"Authelia\",\n    \"provider\": \"Authelia\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU-hosted OIDC and MFA for workforce identity\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"Hetzner Cloud\",\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Cost-effective EU-only VMs with strong privacy guarantees\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": null,\n    \"service\": \"Nomad\",\n    \"provider\": \"HashiCorp\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Simple scheduler for mixed stateful/stateless workloads\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": null,\n    \"service\": \"Grafana Cloud\",\n    \"provider\": \"Grafana Labs\",\n    \"delivery\": \"saas\",\n    \"reason\": \"EU data residency with metrics, logs, and alerting\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": null,\n    \"service\": \"Woodpecker CI\",\n    \"provider\": \"Woodpecker CI Foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Lightweight and Docker-native pipeline runner\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": null,\n    \"service\": \"Plausible\",\n    \"provider\": \"Plausible Analytics\",\n    \"delivery\": \"saas\",\n    \"reason\": \"GDPR-compliant and EU-hosted third-party analytics\"\n  }],\n  \"main_risk\": \"Data residency compliance requires rigorous operational controls for all EU-hosted components.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16400,"probe_id":6030,"sample":1,"system":"internal_tool","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native self-hosted EU\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA React app for responsive internal workflows and rich UIs.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared types with frontend and strong developer productivity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enterprise-structured APIs, modularity, and TypeScript first.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Clear, interoperable REST API with machine-readable contract.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable transactions, relational modeling, and EU-managed hosting.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"Aiven for ClickHouse\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance analytics and reporting for large datasets.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast caching, session storage, and distributed locks.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Aiven for RabbitMQ\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable task queues and flexible routing for workflows.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Hetzner Object Storage\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted, cost-effective storage for attachments and audit records.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency approvals and live notifications, hosted within cluster.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak (OIDC/SAML)\",\n      \"service\": \"Self-hosted Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control over EU-resident identity and SSO policies.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud virtual machines\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU infrastructure ensuring data residency and predictable costs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for scaling, deployments, and resilience.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": \"Self-hosted on cluster\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, and dashboards under full organisational control.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab Self-Managed\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-deployed CI/CD and repository management with full control.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": \"Self-hosted Metabase\",\n      \"provider\": \"Metabase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Internal business reporting and ad-hoc analytics dashboards.\"\n    }\n  ],\n  \"main_risk\": \"Concentrating most services self-hosted in a single EU provider increases operational and availability responsibility.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16403,"probe_id":6030,"sample":1,"system":"internal_tool","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolithic web app\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"standard for internal UI workflows\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple for approvals and reporting logic\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in admin and workflow support\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID records with EU hosting option\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reuses existing backend session handling\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"hetzner cloud\",\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"German provider ensures EU data residency\"\n  }],\n  \"main_risk\": \"Monolith couples workflows and reporting leading to scaling friction.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16420,"probe_id":6031,"sample":1,"system":"internal_tool","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic web application with async processing\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich UI for workflows and approvals; open source; self-hostable\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development for business logic; excellent ecosystem for internal tools\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in admin, auth, ORM, permissions; ideal for internal operations tools\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native REST API layer; integrates seamlessly with Django; open source\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable, open source RDBMS; excellent for structured workflows and records\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching and rate limiting; open source; lightweight\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async approval workflows and notifications; Django-native; open source\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Search records and reports; avoid separate search service overhead\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django authentication\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in user/group permissions; sufficient for internal tool; self-contained\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": null,\n      \"provider\": \"open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Deploy Django and Celery as containers; full control; open source tooling\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple multi-container orchestration; appropriate for internal tool scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF and community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source monitoring and dashboards; self-hostable; industry standard\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source CI/CD; self-hostable; integrated version control\"\n    }\n  ],\n  \"main_risk\": \"Single database becomes bottleneck for large approval workflows; monitor query performance and consider read replicas.\",\n  \"first_component_to_replace_at_scale\": \"Docker Compose should migrate to Kubernetes for multi-node resilience and scaling\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16485,"probe_id":6031,"sample":1,"system":"internal_tool","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive SPA for managing workflows, approvals, records.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, readable language for business logic.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included framework for admin, ORM, forms.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Expose REST API consumed by React frontend.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational persistence for transactional records.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search and analytics for reporting dashboards.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Valkey\",\n      \"service\": null,\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory cache for hot data and session state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": \"Celery Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Asynchronous task processing for long-running approval workflows.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for uploaded attachments.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID Connect/OAuth2 identity provider for corporate SSO.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Commodity operating system for all server components.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for deployment and scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus/Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and alerting for system health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pipeline to build, test, and deploy code changes.\"\n    }\n  ],\n  \"main_risk\": \"Heavy reporting queries on OpenSearch and PostgreSQL could cause performance degradation under load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16422,"probe_id":6031,"sample":1,"system":"internal_tool","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides a rich, responsive interface for complex operations and approval workflows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and strong static typing for reliable business logic and maintenance.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimalist framework allowing full control over the application lifecycle and middleware.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance ensures data integrity for critical approval records and audit logs.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust open-source implementation for OIDC-based identity and access management.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized container orchestration ensures portability and high availability across infrastructure.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for metrics collection and alerting in self-hosted environments.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting database and authentication infrastructure requires significant operational expertise to prevent availability and security incidents.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16430,"probe_id":6031,"sample":1,"system":"internal_tool","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"minimalist self-hosted monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"Node.js with htmx + TailwindCSS\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Full control; no SPA build step reduces DevOps burden.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature open-source runtime with strong OSS ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"FastAPI\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async web framework built for APIs; lightweight and explicit.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"REST over HTTP/1.1\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Universal protocol; simple to debug and evolve.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID-compliant with row-level security for records.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Zero-config embedded DB for ephemeral job tracking.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pub/sub and transient data in one fast storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"RQ (Redis Queue)\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated with Redis; minimal operational overhead.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Authelia\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature OSS identity provider with MFA support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"Docker Compose\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reproduce environment across x86 and ARM bare metal.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Post-Docker consistency; horizontal scaling built-in.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus + Grafana\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Long-term metrics plus self-service dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Woodpecker CI\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight OSS fork of Drone; runs in same cluster.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": null,\n      \"service\": \"Nginx\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"TLS termination and static asset serving in one.\"\n    }\n  ],\n  \"main_risk\": \"Kubernetes control plane becomes a single point of failure if not highly available.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16433,"probe_id":6031,"sample":1,"system":"internal_tool","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices_on_k8s\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Reusable component library and rich interactive UI for internal tooling.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concise language with strong ecosystem and async support for workflows.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, async framework with automatic OpenAPI and good developer ergonomics.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized, discoverable REST APIs for integrations and automation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational store with strong transactional guarantees and indexing.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance OLAP for analytics and large-scale reporting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching, job locking, and ephemeral session storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable message broker with flexible routing for workflow tasks.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source full-text search and aggregations for records and logs.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object store for attachments and document storage.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket (ASGI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency UI updates via server-driven WebSockets over ASGI stack.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2 provider with SSO, RBAC, and self-hosting support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VMs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, auditable infrastructure base for all self-hosted services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for deployment, scaling, and service discovery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and alerting for system health and SLOs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Jenkins\",\n      \"service\": null,\n      \"provider\": \"Continuous Delivery Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible pipelines for builds, tests, and deployments in self-hosted setups.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Metabase\",\n      \"service\": null,\n      \"provider\": \"Metabase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted BI for internal reports and ad-hoc querying.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of self-hosting and maintaining many services increases maintenance and security complexity.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16437,"probe_id":6031,"sample":1,"system":"internal_tool","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn internal operations tool for workflows, approvals, records, and reporting.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"htmx\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"server-rendered workflows UI without heavy JS\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"mature ecosystem for internal tools\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"batteries-included with admin and auth\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID transactions for approvals and records\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast session and workflow state\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"task queuing with same broker\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in user and permission model\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"docker\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"consistent container deployment\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics for internal system health\"\n  }],\n  \"main_risk\": \"Monolith couples all workflow logic, risking slow deploys at team growth.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16456,"probe_id":6032,"sample":1,"system":"community_forum","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"monolithic backend with separate frontend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive UI for threads, voting, moderation workflows\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, strong ecosystem for web, moderation, search integration\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, auth, admin panel, moderation tools; mature for community platforms\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, straightforward for CRUD operations on threads and votes\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for voting consistency, jsonb for thread metadata, full-text search\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Thread/vote caching, session storage, notification queue buffering\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async notification delivery, moderation tasks, search indexing\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across threads and posts with relevance scoring\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live vote count updates, real-time notifications for moderators\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, scales for distributed deployments, integrates cleanly with Django\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"Kubernetes\",\n      \"provider\": \"AWS EKS or GCP GKE\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration scales replicas; managed control plane reduces ops burden\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitor request latency, database connections, queue depth, cache hit rates\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with source control, adequate for small-to-medium deployments\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Aggregate thread activity, user engagement via SQL; same database reduces complexity\"\n    }\n  ],\n  \"main_risk\": \"Monolithic backend becomes bottleneck under high concurrent voting load; Elasticsearch indexing lag impacts search freshness during traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework to microservices (split moderation, notifications, search into separate services)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16508,"probe_id":6032,"sample":1,"system":"community_forum","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for interactive thread, voting, and moderation UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem with Django for rapid development.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included ORM, admin, auth, and REST framework.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage with full-text search support.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store, view counters, and hot-thread caching.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async tasks for notifications, moderation actions, and search indexing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across threads and posts with typo tolerance.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Django Channels\",\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Push live notifications and voting updates to connected clients.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Social login and passwordless auth with role-based claims.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure storage for uploads (images, attachments) with CDN front.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS Fargate\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers for Django, Celery, and Channels workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified logs, metrics, APM, and alerts across all components.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated test, build, and deploy to ECS on push.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"CDN\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global edge delivery for static assets and S3 content.\"\n    }\n  ],\n  \"main_risk\": \"Realtime notification fan-out and Elasticsearch index lag under heavy concurrent traffic.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16457,"probe_id":6032,"sample":1,"system":"community_forum","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast development cycles with built-in server-side rendering for SEO.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"Node.js Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified language across stack improves developer velocity.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational data modeling for complex forum thread structures.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search capabilities are essential for forum content discovery.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard for storing user-uploaded profile images and attachments.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security concerns.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust orchestration and auto-scaling for variable community traffic.\"\n    }\n  ],\n  \"main_risk\": \"Deep coupling between the application logic and relational database schema may impede rapid iteration.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16463,"probe_id":6032,"sample":1,"system":"community_forum","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase reduces complexity and speeds iteration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Development speed and ecosystem suitable for forums.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Batteries-included for auth, admin, and ORM out of the box.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"GraphQL via Django Graphene\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible queries reduce client-server coupling and over-fetching.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong consistency, full-text search, and community tooling.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond access for session and leaderboard storage.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Elasticsearch\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Near real-time search with thread ranking relevance.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Celery\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Decouple heavy tasks like notifications and emails.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, cheap, and globally replicated binary storage.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Pusher\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Instant notification delivery without polling overhead.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Django-allauth\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Baked-in OAuth and email login out of the box.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong control plane for scaling and security groups.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Consistent runtime environment across environments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and dashboards for SLO tracking.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight integration with code repo and zero infra cost.\"\n    }\n  ],\n  \"main_risk\": \"Elasticsearch scaling costs and operational load at high query volumes.\",\n  \"first_component_to_replace_at_scale\": \"Search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16468,"probe_id":6032,"sample":1,"system":"community_forum","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices on managed cloud\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast static hosting, CDN, previews and simple deploys.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Compiled, high concurrency and low latency for real-time forum workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP framework with middleware and ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (JSON) with OpenAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Predictable endpoints, easy caching, broad client compatibility.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID consistency, relational modeling for threads, transactions and complex queries.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Amazon Redshift\",\n      \"service\": \"Amazon Redshift\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Columnar analytics for event aggregation and long-term reporting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency counters, sessions, hot vote caching, and transient data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable background job delivery without broker operations.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search, relevance tuning, near-real-time indexing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable storage for attachments, avatars, and static assets with CDN integration.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed WebSocket scaling for live thread updates and presence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure auth, social login, user management and extensible rules.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"containers\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Run stateless services serverlessly without managing EC2 instances.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized orchestration, scaling, and deployment patterns.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"logs/metrics/tracing\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated metrics, traces and alerting for production systems.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipelines, PR checks and deployment automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User behavior, funnels and retention analysis for community growth.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"AWS SageMaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Host content-moderation models for automated moderation and scoring.\"\n    }\n  ],\n  \"main_risk\": \"Heavy reliance on AWS managed services risks vendor lock-in and cost increases at large scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16474,"probe_id":6032,"sample":1,"system":"community_forum","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"django monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"interactive SPA for threads and votes\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": null,\n    \"reason\": \"ecosystem fits django choice\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles auth, moderation, models natively\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"reliable relational store for threads and votes\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"session and hot thread caching\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": \"opensearch\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"full-text thread search\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"background notifications and moderation jobs\"\n  }],\n  \"main_risk\": \"monolith couples search scaling with web tier\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Grok"},{"response_id":16490,"probe_id":6033,"sample":1,"system":"community_forum","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"monolithic_with_managed_services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-page app reduces backend load; team can manage.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development for small team; rich ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, auth, admin; minimal setup overhead.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, stateless; Django REST Framework handles it well.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable ACID semantics; free tier available on Render.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage and rate limiting; free tier on Upstash.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No separate service needed; built-in indexes sufficient.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async tasks for notifications; reuses Redis backend.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live notifications; integrates with Django; minimal cost.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django contrib.auth with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in; tokens for mobile and SPA clients.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux container\",\n      \"service\": \"Render or Railway\",\n      \"provider\": \"Render or Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier covers small monolith; auto-scaling later.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; simple deploy pipeline.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging with stdout\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Capture errors via platform logs; minimal overhead.\"\n    }\n  ],\n  \"main_risk\": \"Monolithic design will require refactoring if search or notifications become bottlenecks with user growth.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16566,"probe_id":6033,"sample":1,"system":"community_forum","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Jamstack with Serverless API\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Static generation and server-rendered pages for SEO and speed.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared language across full stack reduces context switching.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js\",\n      \"service\": \"Next.js API routes\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless functions handle API logic without managing servers.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP\",\n      \"service\": \"Next.js API routes\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"RESTful endpoints for threads, votes, and moderation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed relational DB with row-level security and free tier.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency caching and rate limiting, free tier fits budget.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Redis-backed BullMQ for background email notification jobs.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Store user avatars and thread attachments within free allowance.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Push live thread and vote updates to clients without polling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in email/password auth with social login, zero ops.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"CDN\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global edge delivery for static assets and serverless functions.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error Monitoring\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier captures frontend and backend exceptions with stack traces.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated lint, test, and deploy on every push, free for public repos.\"\n    }\n  ],\n  \"main_risk\": \"Supabase free tier limits could stall growth; budget allows upgrading to Pro plan when needed.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16493,"probe_id":6033,"sample":1,"system":"community_forum","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Allows sharing types between frontend and backend to accelerate development for a small team.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides unified framework for frontend and serverless API routes, minimizing maintenance and infrastructure overhead.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless PostgreSQL offers storage-based pricing fitting the $200 budget and requires zero database management.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL Full Text Search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Leveraging built-in database features avoids the cost and complexity of a dedicated search engine.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Auth0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Outsourced identity management reduces security liability and implementation time for two engineers.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Cloudflare R2\",\n      \"service\": \"R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero egress fees keep costs predictable for user-uploaded media.\"\n    }\n  ],\n  \"main_risk\": \"The tight coupling of the monolithic framework may complicate future modularization if the forum evolves into a complex platform.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16501,"probe_id":6033,"sample":1,"system":"community_forum","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase, fast iteration for two engineers\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Ruby\",\n      \"service\": null,\n      \"provider\": \"Open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal CPU/RAM, maximal developer velocity\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Ruby on Rails\",\n      \"service\": null,\n      \"provider\": \"Open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Convention over configuration reduces boilerplate\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable ACID transactions, JSON support, full-text search\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": null,\n      \"service\": \"Redis Cloud\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed key/value store for sessions and rate limiting\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Cloudflare CDN\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caches static assets, DDoS protection, global CDN\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Typesense Hosted\",\n      \"provider\": \"Typesense\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Lightweight alternative with sub-second full-text search\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"PostHog Events\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Open-source-compatible event pipeline included in free tier\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Action Cable\",\n      \"service\": null,\n      \"provider\": \"Open source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built into Rails for lightweight WebSocket pub/sub\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"WorkOS\",\n      \"provider\": \"WorkOS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pre-built auth flows, SSO, free tier covers community needs\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global postgres, one-click deploys, free tier covers first year\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Honeycomb\",\n      \"provider\": \"Honeycomb\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier includes unlimited hosts, spans, traces\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Included with free private repos, simple 15 min builds\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers 1 million events per month\"\n    }\n  ],\n  \"main_risk\": \"Shared single-node PostgreSQL may slow during heavy bursts of write-heavy threads.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16497,"probe_id":6033,"sample":1,"system":"community_forum","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"serverless-postgres-edge\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Next.js\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free hobby tier, SSR and static pages, minimal ops for two engineers.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Supabase Edge Functions\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Type-safe edge functions, low operational overhead, integrates with Supabase services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"PostgREST / REST\",\n      \"service\": \"Supabase Auto APIs\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Auto-generated REST on Postgres reduces custom API surface and engineering time.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Relational threads and votes fit Postgres; free/affordable starter tier.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Postgres LISTEN/NOTIFY\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Lightweight async notifications without separate queue infrastructure.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Postgres full-text search (tsvector)\",\n      \"service\": \"Supabase Postgres\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in FTS avoids costly search cluster for early-stage scale.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible API\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Store attachments cheaply with integrated access control and CDN hooks.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Realtime via Postgres replication\",\n      \"service\": \"Supabase Realtime\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"In-app live updates and notifications without managing WebSocket servers.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT/OAuth2 (GoTrue-compatible)\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Email/password, social logins, and JWTs handled out of the box.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Error monitoring / traces\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error monitoring and performance traces for rapid debugging.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI minutes for small team; integrates with Vercel and Supabase.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Event analytics\",\n      \"service\": \"Google Analytics (GA4)\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free product analytics for user behavior and funnel monitoring.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"SMTP / transactional email API\",\n      \"service\": \"SendGrid\",\n      \"provider\": \"Twilio SendGrid\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free/low-cost transactional email for notifications and verification.\"\n    }\n  ],\n  \"main_risk\": \"Heavy dependence on Supabase for core capabilities risks vendor limits or price increases as traffic grows.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16510,"probe_id":6033,"sample":1,"system":"community_forum","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"next.js\",\n    \"service\": \"vercel\",\n    \"provider\": \"vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"SSR forum UI with low ops\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"threads, voting, moderation logic\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores all forum data\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full-text search on threads\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"user accounts and sessions\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"docker\",\n    \"service\": \"railway\",\n    \"provider\": \"railway\",\n    \"delivery\": \"managed\",\n    \"reason\": \"cheap app deployment under budget\"\n  }],\n  \"main_risk\": \"Single engineer team may struggle with Django ops and incidents.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Grok"},{"response_id":16532,"probe_id":6034,"sample":1,"system":"community_forum","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed microservices with event-driven notifications\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SPA handles dynamic forum UI at 100k concurrent load\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared codebase reduces mobile engineering overhead\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Goroutines handle 100k concurrent connections efficiently\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework optimized for throughput\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for CRUD, WebSocket for live voting and thread updates\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for voting consistency; managed reduces ops burden\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"MongoDB\",\n      \"service\": null,\n      \"provider\": \"MongoDB Inc\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Flexible schema for moderation logs and audit trails\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session cache and hot thread/user data reduces DB load 10x\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Event stream for notifications, moderation, analytics decoupling\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across 10M users' threads and posts\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Avatars, attachments; unlimited scale with CDN integration\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket via Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated into backend; avoids separate service complexity\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless token-based auth scales horizontally\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EKS or GKE provides auto-scaling for traffic spikes\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates backend, cache, queue; single control plane\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Jaeger, ELK\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, traces, logs for debugging distributed system at scale\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with repo; auto-deploys to EKS on main branch\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Kafka + BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Kafka streams user events to BigQuery for trend analysis\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL write bottleneck under 100k concurrent voting; mitigate with read replicas and vote aggregation service.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16592,"probe_id":6034,"sample":1,"system":"community_forum","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"component model for interactive forum UI and reusable parts\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"cross-platform native apps sharing logic with web frontend\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"high concurrency and efficient resource usage for 100K concurrent users\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight, performant Go HTTP framework for microservices\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"simple, cacheable interface for threads, votes, and search\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"strong consistency, ACID, relational model for users, threads, votes\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"low-latency caching for hot threads, vote counts, sessions\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"durable event stream for async notifications, indexing, moderation\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"rich full-text search and relevance ranking for forum content\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"durable, scalable storage for user uploads and attachments\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"push live updates on threads, votes, and notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"outsourced identity, social login, and security for 10M users\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"global infrastructure, auto-scaling, and rich managed services\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"orchestrate containerized microservices with auto-scaling\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"unified monitoring, logs, and APM for distributed services\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"tight integration with repos, multi-service container builds\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Amplitude\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"product analytics to understand user engagement and growth\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Perspective API\",\n      \"service\": \"Google Perspective API\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"automated toxicity detection to assist human moderation\"\n    }\n  ],\n  \"main_risk\": \"WebSocket fan-out to 100k concurrent connections risks exhausting single-cluster connection limits and requires careful horizontal scaling.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16530,"probe_id":6034,"sample":1,"system":"community_forum","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and excellent performance for heavily IO-bound forum traffic.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational integrity for threads, votes, and user data with excellent scaling capabilities.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Elasticache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides low-latency access to frequently read threads and session state for 100k concurrent users.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search capabilities are essential for navigating large volumes of community thread content.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"MSK\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable asynchronous processing for notifications and background moderation tasks at scale.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for managing containerized services with high availability and automated scaling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management, security, and social login integrations to a proven third party.\"\n    }\n  ],\n  \"main_risk\": \"Database write contention on high-traffic threads during viral events could degrade overall platform performance.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16538,"probe_id":6034,"sample":1,"system":"community_forum","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith-first, horizontally scalable\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Industry standard, rich ecosystem, great for community forums.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform parity with web frontend, strong community.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput, low latency, concurrency ease for 100K users.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, fast, idiomatic for Go APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"GraphQL over REST\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible queries reduce over-fetching for thousands of threads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency for threads, votes, moderation, JSONB, mature.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast in-memory cache & pub/sub, handles rate limiting & realtime updates.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Leveraged for caching frequently accessed threads and user sessions.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message broker for async tasks like notifications & moderation.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Elasticsearch\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable, full-text search with faceting for forum threads & users.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, highly available storage for user uploads and avatars.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time notifications and live thread updates without polling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable identity provider handling millions of logins securely.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable compute with auto-scaling groups for backend fleet.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestrates containers, handles scaling, self-healing at large scale.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, traces for high-cardinality forum operations.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"Buildkite\",\n      \"provider\": \"Buildkite\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast, scalable CI/CD with fine-grained concurrency control at scale.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable analytics warehouse for user behavior and forum metrics.\"\n    }\n  ],\n  \"main_risk\": \"Scaling realtime WebSocket connections to 100K concurrent users without performance degradation.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16551,"probe_id":6034,"sample":1,"system":"community_forum","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices-kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Amazon CloudFront + S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"React SPA with S3+CloudFront for global static distribution and CDN.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Apple App Store / Google Play\",\n      \"provider\": \"Apple, Google\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native apps delivered through platform stores.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Go for efficient concurrency and low-latency handling at scale.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high-performance HTTP framework matching Go's model.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": \"Amazon API Gateway (HTTP API)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"API Gateway provides edge routing, rate limiting, and auth integration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Aurora delivers strong consistency and scalable transactional performance.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"DynamoDB handles massive write-heavy counters and session metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Redis for hot reads, leaderboards, and low-latency counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Amazon MSK\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Kafka durable event stream for feeds, notifications, and pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search with relevance tuning and shard scaling.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable object storage for images, attachments, backups, and assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed WebSocket gateway for notifications and live thread updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect (OAuth 2.0)\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cognito provides OIDC, social login, and token lifecycle management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Machines (EC2)\",\n      \"service\": \"Amazon EC2\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EC2 provides flexible instance types for stateful or fallback workloads.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EKS runs microservices, autoscaling, and rolling updates reliably.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Tracing & metrics (OpenTelemetry)\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Datadog collects metrics, logs, and traces with broad integrations.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"CI/CD\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GitHub Actions integrates with repo for pipelines and deployments.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Data warehouse\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Snowflake for large-scale analytics and fast ad-hoc queries.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Model serving\",\n      \"service\": \"Amazon SageMaker Endpoints\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"SageMaker handles scalable personalization and recommendations inference.\"\n    }\n  ],\n  \"main_risk\": \"Heavy reliance on AWS managed services creates single-cloud outage risk and vendor lock-in.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16549,"probe_id":6034,"sample":1,"system":"community_forum","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"renders threads and voting UI\"\n  },\n  {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": null,\n    \"reason\": \"high concurrency and low latency\"\n  },\n  {\n    \"role\": \"backend_framework\",\n    \"technology\": \"gin\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": null,\n    \"reason\": \"fast Go HTTP routing\"\n  },\n  {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"rds\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID for votes and threads\"\n  },\n  {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": \"elasticache\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"fast reads for hot threads\"\n  },\n  {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": \"confluent\",\n    \"delivery\": \"managed\",\n    \"reason\": \"notifications and moderation jobs\"\n  },\n  {\n    \"role\": \"search\",\n    \"technology\": \"elasticsearch\",\n    \"service\": \"opensearch\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"full-text thread search\"\n  },\n  {\n    \"role\": \"auth\",\n    \"technology\": \"oauth2\",\n    \"service\": \"cognito\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"user sessions at scale\"\n  },\n  {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": \"eks\",\n    \"provider\": \"amazon\",\n    \"delivery\": \"managed\",\n    \"reason\": \"deploy and scale services\"\n  },\n  {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics on 100k concurrent users\"\n  }],\n  \"main_risk\": \"Kafka and database hotspots under 100k concurrent spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16563,"probe_id":6035,"sample":1,"system":"community_forum","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic backend with React frontend, PostgreSQL primary store, Elasticsearch search\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard choice for interactive forum UI with real-time updates\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, strong ecosystem for web services and moderation logic\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, admin panel, auth, and permission system suit forum requirements\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Straightforward API for threads, posts, voting, moderation endpoints\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance for voting consistency; managed EU instance meets data residency\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage, vote counting, notification queue; EU-hosted managed service\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async task processing for email notifications and moderation workflows\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search over threads and posts; self-hosted for EU data residency\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Django Channels for live vote updates and notification delivery\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django session-based auth\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native Django auth adequate for community forum; no third-party dependency\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker containers\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based cloud provider with strong privacy stance and reasonable costs\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sufficient for monolithic application; avoids Kubernetes complexity at this scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, self-hosted; meets EU data residency without external SaaS\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Adequate for small team; GitHub enterprise available for EU data residency if needed\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL and Elasticsearch scaling becomes bottleneck as post volume and search load grow; monolith becomes harder to extend.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16645,"probe_id":6035,"sample":1,"system":"community_forum","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"modular_monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SPA bundled and deployed to CDN for fast UX.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature language with rich ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured framework with admin, auth, ORM.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST framework\",\n      \"service\": null,\n      \"provider\": \"Encode OSS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard REST API for frontend and possible mobile.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed PostgreSQL with EU data residency.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Redis in EU for caching and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": \"Celery contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async task queue using Redis as broker for emails, indexing.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Aiven for OpenSearch\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed full-text search engine hosted in EU.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted S3 storage for user-uploaded files.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels\",\n      \"service\": null,\n      \"provider\": \"Django Channels contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket support for live notifications and updates.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"Clever Cloud\",\n      \"provider\": \"Clever Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU PaaS running containerized backend and workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana, Prometheus, Loki\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted stack for full control of EU log data.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD with EU-based runners, GitLab's European roots.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": \"Matomo Cloud\",\n      \"provider\": \"InnoCraft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-hosted analytics respecting user privacy.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"CDN\",\n      \"service\": \"Bunny CDN\",\n      \"provider\": \"BunnyWay d.o.o.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European CDN for fast static asset delivery.\"\n    }\n  ],\n  \"main_risk\": \"Dependency on multiple distinct European providers may cause integration complexity and harder troubleshooting during incidents.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16565,"probe_id":6035,"sample":1,"system":"community_forum","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers excellent performance, concurrency, and compiled binary simplicity for deployment within the EU.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high-performance routing with minimal overhead for standard forum CRUD operations.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage with robust support for ACID transactions required for voting and threading.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency, lightweight search experience perfect for community forums.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides necessary speed for session handling and frequent feed caching.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Compute Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Allows strict enforcement of Frankfurt region data residency for all PII and processing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies secure identity management with compliance options for EU-based data residency.\"\n    }\n  ],\n  \"main_risk\": \"Scaling real-time updates and search concurrency as the community grows beyond a single standard relational node.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16574,"probe_id":6035,"sample":1,"system":"community_forum","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Monolith with Batch Events\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"De facto standard for SPAs with rich UIs\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta Platforms\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform parity with web stack\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast iteration with single codebase for frontends\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"NestJS\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated, modular, and TypeScript-first\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable, and client-friendly\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency and JSON support; EU providers available\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond reads and pub/sub for real-time features\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"BullMQ\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in with Redis, easy backpressure control\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilis SAS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, typo-tolerant, and European-based company\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"On-premise S3-compatible storage in EU datacenter\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Pusher Channels\",\n      \"provider\": \"Pusher Ltd\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Low-latency notifications without self-managed WS\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency and pre-built moderation UI\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner Online GmbH\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective EU datacenters with good compliance track record\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Docker Compose\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simplest path for single-host deployment scaling up\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU region, logs/metrics/traces in one place\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated with repo and EU data residency option\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": \"PostHog Inc\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Open-source, EU-compliant, and product-led growth\"\n    }\n  ],\n  \"main_risk\": \"Meilisearch reliance on a single European startup for search performance at scale.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16573,"probe_id":6035,"sample":1,"system":"community_forum","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"containerized monolith with managed data services\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Fast SPA development and wide ecosystem for interactive forums.\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"Progressive Web App (PWA)\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"Single codebase mobile experience without native app data residency issues.\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Mature ecosystem and strong web framework support.\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Batteries-included, rapid development, built-in auth and admin.\"\n  }, {\n    \"role\": \"api\",\n    \"technology\": \"Django REST Framework (REST JSON)\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Clear contract for frontend, mobile, and integrations.\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Aiven for PostgreSQL\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"ACID relational model, managed in EU regions for data residency.\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": \"Aiven for Redis\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Low-latency cache, session and channels backing store.\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"Apache Kafka\",\n    \"service\": \"Aiven for Kafka\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Durable event streaming for notifications and moderation pipelines.\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"Elasticsearch\",\n    \"service\": \"Aiven for Elasticsearch\",\n    \"provider\": \"Aiven\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Full-text search, relevance tuning and EU hosting available.\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3-compatible object storage\",\n    \"service\": \"Hetzner Object Storage\",\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Store avatars and attachments with EU data residency.\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket (Django Channels)\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Real-time thread updates and live notifications via channels.\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Keycloak\",\n    \"service\": null,\n    \"provider\": \"Red Hat\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"OpenID Connect SSO, roles, and EU self-hosting control.\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"Cloud compute\",\n    \"service\": \"Hetzner Cloud\",\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"managed\",\n    \"reason\": \"EU compute with predictable pricing and data residency.\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": \"Hetzner Managed Kubernetes\",\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"managed\",\n    \"reason\": \"Container orchestration, rolling deploys and cluster networking.\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus/Grafana/Loki\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Metrics, dashboards and logs hosted within EU cluster.\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"GitLab CE\",\n    \"service\": null,\n    \"provider\": \"GitLab\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Integrated CI/CD and repo hosting under operator control.\"\n  }, {\n    \"role\": \"analytics\",\n    \"technology\": \"Matomo\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Privacy-friendly EU-hostable web analytics.\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"PyTorch (toxicity/misinfo model)\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"Run moderation models locally to keep personal data in EU.\"\n  }],\n  \"main_risk\": \"Relying on several smaller EU-managed vendors may complicate cross-service scaling and SLAs at very large scale.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16583,"probe_id":6035,"sample":1,"system":"community_forum","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"interactive SPA for threads and voting\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple high-performance backend\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"Gin\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"lightweight REST API routing\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU data residency and ACID\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"Meilisearch\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast EU-hosted full-text search\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"Redis\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"thread and vote caching\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"RabbitMQ\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"notification and moderation jobs\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Keycloak\",\n    \"service\": null,\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU self-hosted user identity\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"VPS\",\n    \"provider\": \"Hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU provider for all data\"\n  }],\n  \"main_risk\": \"Self-hosted components create single-point failure and ops burden.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16597,"probe_id":6036,"sample":1,"system":"community_forum","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic backend with separate frontend, self-hosted open source stack\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich interactive UI for threads, voting, moderation workflows\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, strong libraries for all forum requirements\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in ORM, auth, admin, moderation; proven for community platforms\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"Encode\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"RESTful API with authentication, pagination, filtering for frontend\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance, full-text search, JSON support for thread metadata\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session storage, vote counting, real-time notification queuing\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async task processing for notifications, moderation workflows, indexing\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search across threads and posts with relevance ranking\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket support for live vote updates and real-time notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django built-in auth\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"User registration, login, permissions for moderation roles\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Deploy on any Linux server or Kubernetes; no vendor lock-in\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for multi-service local and small deployments\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF and Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, logs, dashboards for performance monitoring and debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in CI/CD, container registry, open source runner\"\n    }\n  ],\n  \"main_risk\": \"Elasticsearch and Celery broker require dedicated tuning and monitoring; misconfiguration can degrade search and notification latency under load.\",\n  \"first_component_to_replace_at_scale\": \"Docker Compose should migrate to Kubernetes for high-availability multi-node deployments and horizontal scaling of stateless services.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16674,"probe_id":6036,"sample":1,"system":"community_forum","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Monolithic Rails app with real-time WebSockets and async jobs\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Hotwire (Turbo + Stimulus)\",\n      \"service\": null,\n      \"provider\": \"Basecamp\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reactive server-rendered frontend without heavy JavaScript, open source.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Ruby\",\n      \"service\": null,\n      \"provider\": \"Ruby Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature dynamic language with a strong ecosystem for web applications.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Ruby on Rails\",\n      \"service\": null,\n      \"provider\": \"Rails Core Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-stack framework with conventions for fast development, open source.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational SQL database with advanced features and broad hosting support.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory data store for caching, sessions, and ephemeral data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Sidekiq\",\n      \"service\": null,\n      \"provider\": \"Mike Perham\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable Redis-backed job queue for background processing, open source.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search engine for threads and posts, open source.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage for uploads, open source and self-hosted.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"ActionCable\",\n      \"service\": null,\n      \"provider\": \"Basecamp\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket framework integrated into Rails for live notifications and updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Devise\",\n      \"service\": null,\n      \"provider\": \"Plataformatec\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible Rails authentication library with OAuth and password strategies.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Ubuntu Server\",\n      \"service\": null,\n      \"provider\": \"Canonical\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Long-term support Linux distribution for self-managed servers.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scalable, resilient deployments, open source.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and dashboards for monitoring, fully open source.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Jenkins\",\n      \"service\": null,\n      \"provider\": \"Jenkins project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source automation server for continuous integration and delivery.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible Community Edition\",\n      \"service\": null,\n      \"provider\": \"Plausible Insights\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly, self-hostable web analytics for forum traffic.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Postfix\",\n      \"service\": null,\n      \"provider\": \"Postfix project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted mail transfer agent for transactional notification emails.\"\n    }\n  ],\n  \"main_risk\": \"Scaling a monolithic Rails app with self-hosted real-time and search services under high traffic.\",\n  \"first_component_to_replace_at_scale\": \"Sidekiq\"\n}","model_label":"DeepSeek"},{"response_id":16601,"probe_id":6036,"sample":1,"system":"community_forum","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for interactive UI components and client-side routing.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Superior performance and concurrency handling for real-time forum interactions.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Highly reliable relational structure for complex thread and user entity relationships.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency key-value storage for session management and vote caching.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Optimized for fast, developer-friendly full-text search in community content.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, open-source storage for handling user-uploaded assets.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized container management for consistent deployment across environments.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of self-hosting the database and object storage infrastructure at scale.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16608,"probe_id":6036,"sample":1,"system":"community_forum","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith_first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"JavaScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard for web UIs, works with SSR.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Type safety and UI parity with web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Large ecosystem for web, auth, and AI tasks.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included for auth, admin, and web APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrates tightly with Django models.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance, full-text search, and jsonb support.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast key-value store for sessions, cache, and queues.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Use same Redis for cache and queue to reduce ops.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in full-text search avoids another service.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible object storage without cloud lock-in.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket support in Django ecosystem.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django-allauth\",\n      \"service\": null,\n      \"provider\": \"Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OAuth2, social logins, and email flows included.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Docker\",\n      \"provider\": \"Docker Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Consistent runtime and simple deployment.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative scaling and self-healing pods.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and alerting out-of-the-box.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native integration with Git repositories.\"\n    }\n  ],\n  \"main_risk\": \"Replacing built-in PostgreSQL search with a dedicated engine like Elasticsearch becomes necessary beyond moderate scale.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16611,"probe_id":6036,"sample":1,"system":"community_forum","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"modular-monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast SPA, large ecosystem, easy to self-host static assets.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem, strong web and data libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included, auth/admin, rapid development for forums.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"Django REST Framework project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust JSON API tooling and serializers for client integration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID, relational queries, rich indexing and extensions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching and channel-layer support for realtime features.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message delivery, mature tooling, easy task decoupling.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search, relevance tuning and self-hostable cluster.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, lightweight, efficient storage for uploads and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Django Channels\",\n      \"service\": null,\n      \"provider\": \"Django Channels project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"WebSocket support integrated with Django and Redis channel layer.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/SSO, fine-grained roles, and manageable self-hosted identity.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux virtual machines\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Portable, universal runtime for all self-hosted components.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, scaling, and service discovery.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, alerting and integrations for service health monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated Git, pipelines, and runners for self-hosted CI/CD.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of running and securing many self-hosted systems increases downtime and maintenance cost.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16620,"probe_id":6036,"sample":1,"system":"community_forum","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA community forum with threads, voting, moderation, search, and notifications.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"browser UI for threads and voting\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"mature open source ecosystem\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"batteries-included for auth and moderation\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID transactions for votes and threads\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast session and vote counters\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable background notifications\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"meilisearch\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"full-text thread search open source\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"caddy\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"simple reverse proxy and TLS\"\n  }],\n  \"main_risk\": \"Single database and monolith limit independent scaling of search and notifications.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16635,"probe_id":6037,"sample":1,"system":"booking_system","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices with event-driven reservations\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich UI for availability calendar and reservation management.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single codebase for iOS and Android apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, strong ecosystem for payments and scheduling.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included framework with ORM and admin panel for operational needs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature REST API framework with built-in pagination and filtering.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions essential for payment and reservation consistency.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast availability slot caching and session management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous payment processing, reminders, and cancellation workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"PostgreSQL full-text search\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Sufficient for filtering by location and property attributes.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Property images and cancellation policy documents.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with Django Channels\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live availability updates and booking confirmations.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT with OAuth2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless auth for mobile and web clients.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling for peak booking periods and payment spikes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"ELK Stack\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Logs and metrics for payment reconciliation and cancellation auditing.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration for automated testing and deployment to EKS.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Mixpanel\",\n      \"service\": \"Mixpanel\",\n      \"provider\": \"Mixpanel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User funnel analysis and reservation conversion tracking.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"PCI-compliant payment processing and refund handling.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Twilio API\",\n      \"service\": \"Twilio\",\n      \"provider\": \"Twilio\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SMS and email reminders 24 hours before reservation.\"\n    }\n  ],\n  \"main_risk\": \"Payment transaction failures during high-volume booking events could cause revenue loss and customer frustration.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL full-text search to Elasticsearch for complex filtering across millions of properties.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16682,"probe_id":6037,"sample":1,"system":"booking_system","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"widely-used SPA with large ecosystem\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"cross-platform mobile from shared codebase\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"unified type-safe language for frontend and backend\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"modular framework with built-in microservices patterns\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"API Gateway\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"routes, authentication, rate limiting\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions, mature, fits booking data\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"fast inventory availability caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"decouple payment processing and reminders\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Socket.IO\",\n      \"service\": null,\n      \"provider\": \"Socket.IO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"real-time booking status updates to users\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"managed identity provider, social login, MFA\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"scalable infrastructure, integrated services\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"container orchestration for microservices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"unified logs, metrics, APM\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"source-integrated build/test/deploy pipelines\"\n    }\n  ],\n  \"main_risk\": \"Distributed transaction consistency across booking, payment, and inventory with eventual consistency\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16637,"probe_id":6037,"sample":1,"system":"booking_system","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and excellent performance for reservation logic.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance framework that minimizes latency for API requests.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strict typing and efficient binary serialization for internal microservice communication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational integrity for complex reservation and payment transactions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond latency for real-time availability lookups.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Managed Streaming for Kafka\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Asynchronous handling of booking confirmations and notification events.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces security overhead by delegating complex identity management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides scalable orchestration for containerized service workloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring and distributed tracing for debugging complex distributed requests.\"\n    }\n  ],\n  \"main_risk\": \"Distributed transaction failures during high-concurrency reservation race conditions.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16644,"probe_id":6037,"sample":1,"system":"booking_system","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolithic API with cloud managed services\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"React\", \"service\": \"Netlify\", \"provider\": \"Netlify\", \"delivery\": \"saas\", \"reason\": \"Fast global CDN for static SPA delivery\"},\n    {\"role\": \"mobile\", \"technology\": null, \"service\": \"App Store & Play Store\", \"provider\": null, \"delivery\": \"saas\", \"reason\": \"Standard mobile app distribution\"},\n    {\"role\": \"backend_language\", \"technology\": \"Python\", \"service\": null, \"provider\": \"Python Software Foundation\", \"delivery\": \"client\", \"reason\": \"Mature, fast development for business logic\"},\n    {\"role\": \"backend_framework\", \"technology\": \"Django\", \"service\": null, \"provider\": \"Django Software Foundation\", \"delivery\": \"client\", \"reason\": \"Batteries-included for auth, ORM, admin\"},\n    {\"role\": \"api\", \"technology\": null, \"service\": \"AWS API Gateway\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Handles auth, routing, scaling, throttling\"},\n    {\"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": \"Aurora PostgreSQL\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Strong consistency, JSON, full-featured\"},\n    {\"role\": \"secondary_database\", \"technology\": \"Redis\", \"service\": \"ElastiCache\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Fast in-memory cache for availability states\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": \"ElastiCache\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Shared across replicas, low latency\"},\n    {\"role\": \"queue\", \"technology\": null, \"service\": \"SQS\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Reliable async task queuing\"},\n    {\"role\": \"search\", \"technology\": null, \"service\": \"OpenSearch\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Near real-time text search for listings\"},\n    {\"role\": \"object_storage\", \"technology\": null, \"service\": \"S3\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Durable binary storage for media\"},\n    {\"role\": \"realtime\", \"technology\": \"WebSockets\", \"service\": \"API Gateway\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Push updates via API Gateway WebSocket\"},\n    {\"role\": \"auth\", \"technology\": \"JWT\", \"service\": \"Auth0\", \"provider\": \"Okta\", \"delivery\": \"saas\", \"reason\": \"Handles SSO, MFA, social logins\"},\n    {\"role\": \"hosting\", \"technology\": null, \"service\": \"ECS Fargate\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Serverless containers, pay per use\"},\n    {\"role\": \"orchestration\", \"technology\": \"AWS Fargate\", \"service\": null, \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Orchestrate containers without nodes\"},\n    {\"role\": \"observability\", \"technology\": null, \"service\": \"CloudWatch\", \"provider\": \"Amazon\", \"delivery\": \"managed\", \"reason\": \"Logs, metrics, alerts out-of-box\"},\n    {\"role\": \"ci_cd\", \"technology\": \"GitHub Actions\", \"service\": null, \"provider\": \"GitHub\", \"delivery\": \"saas\", \"reason\": \"Native source control & pipeline\"},\n    {\"role\": \"analytics\", \"technology\": null, \"service\": \"Mixpanel\", \"provider\": \"Mixpanel\", \"delivery\": \"saas\", \"reason\": \"User behavior analytics\"}\n  ],\n  \"main_risk\": \"Availability outages under high concurrency when cache stampede invalidates room inventory.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16646,"probe_id":6037,"sample":1,"system":"booking_system","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"service-oriented containerized\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast static and SSR deployment with global CDN.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js (TypeScript)\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe rapid development and broad ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": \"NestJS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated modular architecture for scalable services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/JSON (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable, widely interoperable API surface.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions and strong relational constraints for reservations.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency lookups, optimistic locks, and rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue (FIFO support)\",\n      \"service\": \"Amazon SQS (FIFO)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable async processing for reminders and cancellation tasks.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for receipts, attachments, and exports.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0 (Okta)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure user auth, social logins, and token management.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"PCI-compliant card gateway\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads PCI scope, subscriptions, refunds, and payouts.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container hosting with multi-AZ support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Infrastructure as Code\",\n      \"service\": \"Terraform Cloud\",\n      \"provider\": \"HashiCorp\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Declarative infra provisioning and drift detection.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified traces, metrics, and logs with alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with code hosting and workflows.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Columnar OLAP\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast business analytics and reporting from event exports.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Push/Email/SMS gateways\",\n      \"service\": \"Amazon SNS / Amazon SES\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable delivery of reminders via SMS, email, and push.\"\n    }\n  ],\n  \"main_risk\": \"Heavy AWS dependency risks provider outage impact and potential vendor lock-in affecting availability and cost.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16654,"probe_id":6037,"sample":1,"system":"booking_system","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"browser UI for reservations\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"django\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles availability payments cancellations\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores reservations and availability\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"celery\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async reminders and cancellations\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"auth0\",\n    \"provider\": \"okta\",\n    \"delivery\": \"saas\",\n    \"reason\": \"user login and sessions\"\n  }],\n  \"main_risk\": \"Monolith creates deployment and scaling bottlenecks during peak booking periods.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16670,"probe_id":6038,"sample":1,"system":"booking_system","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless monolith with managed services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cost-free framework, minimal ops overhead for small team\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development, rich ecosystem, low cognitive load\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal boilerplate, async-native, excellent for small teams\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, stateless, well-understood by two-engineer team\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Supabase\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier supports ACID transactions, payments, complex queries\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Pay-per-request free tier, handles session and availability cache\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"PostgreSQL LISTEN/NOTIFY\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No separate service needed; leverages existing database\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Included in Supabase free tier, handles user sessions\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket polling\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple HTTP polling sufficient for reservation updates, no Pusher cost\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": \"Render\",\n      \"provider\": \"Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier, one service instance, PostgreSQL connection pooling included\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Supabase Storage\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier for receipt/confirmation PDFs, integrated with auth\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, auto-deploy from git push to Render\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": \"Render logs\",\n      \"provider\": \"Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Render dashboard logs sufficient for two engineers, no external cost\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL free tier connection limits and Render free tier sleep behavior may cause production availability issues after traffic scaling beyond free tier thresholds.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16133,"probe_id":6038,"sample":1,"system":"booking_system","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"serverless\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free static hosting with auto-deploy and edge caching.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"static hosting\",\n      \"service\": \"Cloudflare Pages\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serves React app globally on free plan.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Cloudflare Workers\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless runtime with free 100k req/day.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Hono\",\n      \"service\": null,\n      \"provider\": \"Hono project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight router designed for Workers.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": \"Cloudflare D1\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free 5GB storage, 5M row reads/writes within budget.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Cloudflare Queues\",\n      \"service\": \"Cloudflare Queues\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Triggers reminder jobs with negligible cost at low volume.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free up to 5k MAU, prebuilt UI for React.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free 10 GB/month for user uploads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"error tracking\",\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free developer tier for error monitoring.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"workflows\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public/private repos, deploy to Pages/Workers.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"web analytics\",\n      \"service\": \"Cloudflare Web Analytics\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-focused, zero-cost analytics.\"\n    }\n  ],\n  \"main_risk\": \"Cloudflare Workers free 100k req/day cap may be exceeded during traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16086,"probe_id":6038,"sample":1,"system":"booking_system","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless Monolith\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Single language across frontend and backend enables rapid development for small teams.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Next.js\",\n      \"service\": null,\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides integrated API routes and server-side rendering, reducing operational complexity for two engineers.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless Postgres offers free tier and scales storage cost-effectively for high-transaction reservation data.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security compliance to specialized managed service.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global edge deployment with zero-configuration CI/CD fits within the budget constraints.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Essential for tracking production errors to maintain stability with minimal manual intervention.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to the Vercel ecosystem may increase costs or migration friction if usage spikes unexpectedly.\",\n  \"first_component_to_replace_at_scale\": \"backend_framework\"\n}","model_label":"Gemini (lite)"},{"response_id":16085,"probe_id":6038,"sample":1,"system":"booking_system","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"HTML/CSS/JavaScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Low cost and simple to develop with backend APIs.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"Fast development with clear syntax for small team.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": null,\n      \"reason\": \"High performance and automatic API docs with Python.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"FastAPI endpoints\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Native integration with FastAPI as web framework.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"No server cost for small dataset, ACID compliant.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"FastAPI caching\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple inmemory caching with jiffy integration.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Celery\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background tasks like reminders via Redis broker.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"bcrypt\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Lightweight password hashing without external deps.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Boto3 S3 API\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap object storage only when used, pay-as-you-go.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-cost global hosting with simple deployment.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier sufficient for two engineers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers errors for small traffic.\"\n    }\n  ],\n  \"main_risk\": \"SQLite lacks horizontal scaling for sudden traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16675,"probe_id":6038,"sample":1,"system":"booking_system","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"monolithic single-VM with managed edge services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast developer iteration and SPA for reservations and availability UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High productivity and ecosystem for payments, scheduling, and integrations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included auth, admin, and ORM accelerate small-team delivery.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven REST toolkit integrates directly with Django models and serializers.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational engine for bookings, ACID transactions, and complex queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory caching and rate-limiting; cheap to run on same VM.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background jobs and scheduled reminders via Celery/RQ using same Redis.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API\",\n      \"service\": \"Spaces\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Inexpensive, S3-compatible storage for attachments and backups.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux (Ubuntu)\",\n      \"service\": \"Droplet\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single small VM keeps monthly cost under budget and simple operations.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Django auth\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in auth covers sessions, permissions, and admin with no external cost.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": \"Sentry (Cloud)\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error monitoring and performance traces for small teams.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free/low-cost CI integrated with repo for automated tests and deploys.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Google Analytics 4\",\n      \"service\": \"Google Analytics\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero-cost product analytics for usage and conversion metrics.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Industry-standard payments, refunds, and webhook-driven cancellations handling.\"\n    }\n  ],\n  \"main_risk\": \"Single-VM self-hosting risks data loss and downtime as load and redundancy needs grow.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16100,"probe_id":6038,"sample":1,"system":"booking_system","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"Next.js web app\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"Next.js\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"saas\",\n    \"reason\": \"full-stack React handles UI and API routes\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PostgreSQL\",\n    \"service\": \"Supabase\",\n    \"provider\": \"Supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"managed free tier under $200/mo\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"Supabase Auth\",\n    \"service\": \"Supabase\",\n    \"provider\": \"Supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"integrated auth avoids extra cost\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"Vercel\",\n    \"provider\": \"Vercel\",\n    \"delivery\": \"saas\",\n    \"reason\": \"free hobby tier covers low traffic\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": null,\n    \"service\": \"GitHub Actions\",\n    \"provider\": \"GitHub\",\n    \"delivery\": \"saas\",\n    \"reason\": \"free tier for two-engineer team\"\n  }],\n  \"main_risk\": \"Supabase free tier limits or sudden overage costs\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16099,"probe_id":6039,"sample":1,"system":"booking_system","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Distributed microservices with event-driven reservations\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High interactivity for real-time availability and booking flows\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Code sharing with web; native performance for 100k concurrent users\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Concurrent request handling; fast deployment for 100k concurrent load\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency inter-service communication for payment and reservation workflows\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with gRPC gateway\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for mobile/web; gRPC gateway for backend efficiency\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions essential for reservations and payments; proven at scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"DynamoDB\",\n      \"service\": \"DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast availability lookups; partition by property; handles 10M MAU read load\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session storage and availability cache; reduces database load for 100k concurrent\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Managed Streaming for Kafka\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouples payment processing, cancellations, and reminders; ensures ordering\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elasticsearch Service\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Property and destination search; handles faceted filtering for discovery\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Property images and documents; standard for scale-out cost-efficiency\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time availability updates and booking confirmations via backend\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable user authentication; MFA support; externalized identity logic\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling for 100k concurrent; multi-region ready; container orchestration\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native container orchestration; manages stateless backend services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry with Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Traces payment flows and high-concurrency bottlenecks; APM essential at scale\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"VCS-integrated pipeline; fast feedback; container image build and deploy\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Ad-hoc reservation and revenue analytics; integrates with Kafka events\"\n    }\n  ],\n  \"main_risk\": \"Payment processing consistency under 100k concurrent bookings; requires idempotent handlers and distributed transaction coordination.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database (DynamoDB) if availability patterns become complex; migrate to Cassandra for tunable consistency.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16163,"probe_id":6039,"sample":1,"system":"booking_system","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven modular monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for web, rich interactive UI for reservations.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform iOS/Android app with shared code.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency (goroutines) fits 100k concurrent users.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP router, fast JSON APIs.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Kong\",\n      \"service\": \"Kong Gateway\",\n      \"provider\": \"Kong Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"API gateway for routing, rate limiting, and auth.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID, scalability for booking state and user data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Distributed cache for sessions, rate limiting, and hot availability.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouple reminder jobs and reservation confirmations.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text and availability-based search for slots/resources.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store receipts, user uploads, and static assets.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Push live availability and status changes to clients.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Identity, social login, and token management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global infrastructure with 100k concurrency capacity.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"AWS Fargate\",\n      \"service\": \"Amazon ECS on Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container hosting with auto-scaling for Go services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Logs, APM, metrics for distributed traces and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated test, build, and deployment pipelines.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Google Analytics\",\n      \"service\": \"Google Analytics 4\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User journey and conversion tracking.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Payment processing with PCI compliance.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"SMTP\",\n      \"service\": \"SendGrid\",\n      \"provider\": \"Twilio\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Transactional emails for booking confirmations and reminders.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"SMS\",\n      \"service\": \"Twilio\",\n      \"provider\": \"Twilio\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SMS reminders for upcoming reservations.\"\n    }\n  ],\n  \"main_risk\": \"AWS vendor lock-in and complex distributed sagas for booking-payment consistency under high concurrency.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"DeepSeek"},{"response_id":16097,"probe_id":6039,"sample":1,"system":"booking_system","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for highly interactive, component-based user interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and low latency are essential for 100k concurrent users.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Binary protocol provides superior efficiency and performance for internal service communication.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational integrity and horizontal scalability via read replicas for high traffic.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond performance required for session management and real-time availability checks.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles massive asynchronous event throughput for reservations, payments, and reminders.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Outsources complex security compliance and identity management to a specialized provider.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized orchestration for elastic scaling across geographical regions.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring and distributed tracing are critical for debugging high-concurrency microservices.\"\n    }\n  ],\n  \"main_risk\": \"Maintaining transactional consistency across distributed services during high-concurrency peak reservation periods.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16101,"probe_id":6039,"sample":1,"system":"booking_system","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolithic backend with modular codebase\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"JavaScript/TypeScript\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast initial load and high interactivity demands\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput and low latency requirements at scale\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Chi\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal framework overhead for Go services\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"RESTful JSON over HTTP\",\n      \"provider\": \"none\",\n      \"delivery\": \"http\",\n      \"reason\": \"Universal compatibility and simplicity\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong consistency for transactional workloads\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Sub-millisecond reads for availability checks\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Redis\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High RPS on read-heavy data requires managed scaling\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"RabbitMQ\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High message reliability for payments and cancellations\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Elasticsearch\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text and geospatial search across reservations\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"s3\",\n      \"reason\": \"Durable, high-availability binary storage for media\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"WebSockets\",\n      \"provider\": null,\n      \"delivery\": \"http\",\n      \"reason\": \"Low-latency updates for reminders and status changes\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"s3\",\n      \"reason\": \"Scalable identity provider with minimal dev effort\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance VMs for Go backend and Redis\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated scaling of stateless services\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Prometheus + Grafana\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-cardinality metrics and fast alerting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast integration cycles under high commit volume\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"SQL\",\n      \"service\": null,\n      \"provider\": \"none\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Eventual consistency acceptable for reporting\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL latency spikes under high load may block user payment flows\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16114,"probe_id":6039,"sample":1,"system":"booking_system","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"service-oriented microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Composable, high-performance single-page app for availability and bookings.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile reach with near-native performance and shared code.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency, high-concurrency server language suitable for 100k concurrent users.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, performant HTTP framework with easy middleware for services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, widely supported contract for mobile, web, and third-party integrators.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional reservations model needs strong consistency and relational features.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Cloud data warehouse (columnar)\",\n      \"service\": \"Snowflake\",\n      \"provider\": \"Snowflake Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable analytics and reporting for product and financial analysis.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for availability checks and session data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Distributed message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable asynchronous tasks: reminders, cancellations, payment retries.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast full-text and faceted search for listings and availability.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store receipts, attachments, images, and backups cost-effectively.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time availability updates and booking notifications to clients.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable user auth, federation, and token management with security features.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS cloud\",\n      \"service\": \"AWS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global regions, managed services, operational maturity for scale.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for microservices, autoscaling, and deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + tracing + Grafana\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Centralized metrics, logs, and traces for performance and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with workflows, secrets, and deployment automation.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User behavior and funnel analytics for product and retention decisions.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"PCI-compliant payment gateway API\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global payments, refunds, and webhooks with strong fraud tooling.\"\n    }\n  ],\n  \"main_risk\": \"Single-cloud AWS dependency concentrates operational blast radius and vendor limits across core services.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16111,"probe_id":6039,"sample":1,"system":"booking_system","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"scalable SPA for availability views\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high concurrency request handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID for reservations and payments\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast availability checks at scale\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async payments cancellations reminders\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"cognito\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"secure user sessions at volume\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"elastic kubernetes service\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"auto-scale to 100k concurrent\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"microservice deployment and scaling\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"monitor high-throughput production\"\n  }],\n  \"main_risk\": \"distributed transaction consistency across services under peak load\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16118,"probe_id":6040,"sample":1,"system":"booking_system","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Serverless microservices with event-driven processing\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Standard SPA framework for responsive reservation UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android reservation apps\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rapid development for business logic; strong async ecosystem\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Modern async framework; built-in validation and API documentation\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for stateless reservation queries and mutations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted ACID compliance for transactional reservations and payments\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted session and availability cache for high-frequency reads\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted reliable event queue for reminders and cancellations\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-contained token-based auth; avoids third-party data transfers\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU sovereign infrastructure; orchestrates containerized microservices\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": null,\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted document and receipt storage; compliant alternative to AWS\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + ELK\",\n      \"service\": null,\n      \"provider\": \"self_hosted\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack; keeps monitoring data within EU infrastructure\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-friendly CI/CD; integrates directly with repository\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostgreSQL + Metabase\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Query reservation data directly; self-hosted BI avoids external analytics\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Stripe\",\n      \"service\": \"Stripe\",\n      \"provider\": \"Stripe\",\n      \"delivery\": \"saas\",\n      \"reason\": \"PCI-compliant payments; necessary third party with EU data residency\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Twilio\",\n      \"service\": \"Twilio\",\n      \"provider\": \"Twilio\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SMS and email reminders; decouples notification logic from core service\"\n    }\n  ],\n  \"main_risk\": \"Stripe and Twilio are non-EU providers; negotiate data processing agreements to maintain GDPR compliance.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ should migrate to Kafka for higher throughput and persistent event log if reminders and cancellations exceed millions daily.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16187,"probe_id":6040,"sample":1,"system":"booking_system","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SPA for responsive reservation UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared JavaScript codebase for iOS/Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem, strong EU community\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Django\",\n      \"service\": null,\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust ORM, admin, and scheduling support\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Django REST Framework\",\n      \"service\": null,\n      \"provider\": \"Encode (Open Source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST API with Django integration\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Hetzner Cloud PostgreSQL\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID compliance, EU-hosted managed service\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Hetzner Cloud Redis\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency availability and session caching\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"Hetzner Cloud Redis\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Broker for Celery, scheduled reminders\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Hetzner Object Storage\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-resident storage for invoices\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF/Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack, data stays in EU\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub (Microsoft)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU self-hosted runners, no personal data\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible Analytics\",\n      \"service\": \"Plausible Cloud\",\n      \"provider\": \"Plausible Insights (Estonia)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-first analytics, EU-hosted\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Adyen\",\n      \"service\": \"Adyen\",\n      \"provider\": \"Adyen NV (Netherlands)\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based payment processor for bookings\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux Virtual Machines\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU IaaS with compute instances\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration on Hetzner VMs\"\n    }\n  ],\n  \"main_risk\": \"Reliance on a single cloud provider (Hetzner) within one EU region may lead to downtime during regional outages.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16121,"probe_id":6040,"sample":1,"system":"booking_system","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich ecosystem and high developer productivity for complex reservation interfaces.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Superior performance and concurrency handling for reservation state management.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance, minimal overhead web framework suitable for low-latency API endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust ACID compliance for strict booking consistency with EU-based resource region availability.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Extremely fast read access for availability checks and reservation locks.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable asynchronous processing for payment confirmations and customer reminders.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure, standards-based authentication with data residency options in the EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for container orchestration with EU zone support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Comprehensive monitoring stack essential for tracking booking pipeline health.\"\n    }\n  ],\n  \"main_risk\": \"Data residency compliance failures if cloud regions are misconfigured during traffic spikes or multi-region expansion.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16125,"probe_id":6040,"sample":1,"system":"booking_system","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith microservice blend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Next.js\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast, SEO-friendly, EU data residency compliant.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift\",\n      \"service\": \"SwiftUI\",\n      \"provider\": \"Apple\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native iOS SDK leverages platform reliability.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Kotlin\",\n      \"service\": null,\n      \"provider\": \"JetBrains\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native Android SDK ensures parity with iOS.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Java\",\n      \"service\": null,\n      \"provider\": \"OpenJDK\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong JIT performance, mature ecosystem.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Spring Boot\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enterprise-grade, annotation-driven simplicity.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"GraphQL\",\n      \"service\": \"Apollo Server\",\n      \"provider\": \"Apollo GraphQL\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Single endpoint reduces over-fetching.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU region support, ACID compliance.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond latency for sessions.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full control over EU data residency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, ordered event stream.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU region, fuzzy full-text search.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU region replication options.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Persistent low-latency updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Federated SSO, GDPR-compliant.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Broad EU region availability.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Portable, declarative deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified EU-hosted metrics & logs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Docker\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native labels, EU runners available.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"PostHog\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-focused EU data residency.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes in EU regions due to global Kafka fan-out.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16135,"probe_id":6040,"sample":1,"system":"booking_system","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-microservices-eu\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"SPA for dynamic availability and booking flows.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency, small binaries, predictable production resource use.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal, high-performance HTTP framework for Go.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST (OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenAPI contracts and cacheable JSON endpoints for clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Managed PostgreSQL (Hetzner Managed Databases)\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID reservations and relational integrity with EU-hosted managed service.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency cache for availability checks and short-lived state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"CloudAMQP (EU cluster)\",\n      \"provider\": \"CloudAMQP\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable message broker with EU-hosted managed clusters for workers.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search for listings and availability, self-hosted in EU.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Hetzner Object Storage\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU S3-compatible storage for receipts, uploads, and backups.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2 identity provider under our control in EU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud VMs\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based cloud for data residency and cost-effective compute.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration hosted in EU for portability and scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted metrics and dashboards to keep telemetry inside EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (self-managed)\",\n      \"service\": \"GitLab Self-managed\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-managed pipelines allowing EU residency for code and secrets.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-focused analytics, hostable in EU for GDPR compliance.\"\n    }\n  ],\n  \"main_risk\": \"Single-region EU deployment risks availability and scaling limits if the provider experiences outages or regulatory changes.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16131,"probe_id":6040,"sample":1,"system":"booking_system","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven monolith\",\n  \"components\": [\n    {\"role\": \"frontend\", \"technology\": \"react\", \"service\": null, \"provider\": null, \"delivery\": \"client\", \"reason\": \"single page reservation UI\"},\n    {\"role\": \"backend_language\", \"technology\": \"go\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"high concurrency for availability checks\"},\n    {\"role\": \"primary_database\", \"technology\": \"postgresql\", \"service\": \"managed postgresql\", \"provider\": \"scaleway\", \"delivery\": \"managed\", \"reason\": \"EU data residency for personal records\"},\n    {\"role\": \"queue\", \"technology\": \"rabbitmq\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"drive reminders and cancellations\"},\n    {\"role\": \"auth\", \"technology\": \"keycloak\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"keep identity data in EU\"},\n    {\"role\": \"hosting\", \"technology\": \"kubernetes\", \"service\": \"kapsule\", \"provider\": \"scaleway\", \"delivery\": \"managed\", \"reason\": \"European managed container platform\"}\n  ],\n  \"main_risk\": \"Single European provider creates regional outage risk for all components.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16144,"probe_id":6041,"sample":1,"system":"booking_system","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"event-driven microservices with strong consistency for payments\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source, widely supported, handles dynamic availability and booking UI\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with frontend, open source, covers iOS and Android\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast startup, low memory, excellent concurrency for handling reservations\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"labstack\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, high performance, minimal overhead for microservices\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP/2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple to implement and test; payment operations demand synchronous confirmation\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions critical for payments and reservations; mature, proven\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast availability lookups, session storage, rate limiting for API\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable event log for reminders, cancellations, audit trail; handles scale\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with Echo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live availability updates without polling; Echo supports native WebSocket\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT with OAuth2\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, scalable; OpenID Connect optional for social login integration\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard orchestration for self-hosted microservices and scale\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and logs for payment reliability; open source, retention control\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI or GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitLab or GitHub\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated workflows; GitHub Actions self-hosted runner option available\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": null,\n      \"provider\": \"PostHog\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Product analytics and feature flags, fully open source, self-hostable\"\n    }\n  ],\n  \"main_risk\": \"PostgreSQL single-instance write bottleneck under high concurrent bookings; mitigated by read replicas and careful transaction design.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL primary—consider sharded multi-write architecture or CockroachDB for horizontal scaling beyond 10k concurrent users\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16203,"probe_id":6041,"sample":1,"system":"booking_system","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Modular Monolith\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive SPA for bookings, served as static files from our infrastructure.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile apps sharing business logic with the web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Mature ecosystem with strong libraries for payments, dates, and async.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async framework with automatic OpenAPI documentation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID-compliant, handles reservations, cancellations, and payment records reliably.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Caches availability data, manages rate limits, and stores user sessions.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Broadcom (formerly VMware)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message broker for async reminders, payment verification, and cancellations.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic NV\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Enables fast full-text search over reservations, properties, and transaction history.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for receipts, invoices, and document uploads.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full OIDC provider for user authentication, SSO, and role-based access control.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Base OS on bare metal or VMs for all self-hosted services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestrates container deployment, scaling, and resilience across nodes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection, dashboards, and alerting for all platform components.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI/CD\",\n      \"service\": null,\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"End-to-end pipelines from code scan to deployment, fully self-managed.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible Analytics\",\n      \"service\": null,\n      \"provider\": \"Plausible Insights OÜ\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-first website analytics, lightweight and self-hosted, no user tracking.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"BTCPay Server\",\n      \"service\": null,\n      \"provider\": \"BTCPay Server Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-sovereign Bitcoin payment gateway, eliminates proprietary processor dependency.\"\n    }\n  ],\n  \"main_risk\": \"Operating a fully self-hosted stack with many moving parts demands advanced DevOps expertise and 24/7 infrastructure management.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16146,"probe_id":6041,"sample":1,"system":"booking_system","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Large ecosystem with excellent performance and native tool support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high concurrency and strong performance for booking workloads.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low overhead framework optimized for rapid Go service development.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance ensures reservation data integrity and concurrency control.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low latency access for availability lookups and session state storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Mozilla Public License\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable asynchronous messaging for payment and reminder background tasks.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust open-source solution for identity and access management.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized container orchestration for resilient service deployments.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for monitoring time-series metrics and alerting.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting stateful databases across high-availability clusters increases operational complexity and risk of data loss.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16151,"probe_id":6041,"sample":1,"system":"booking_system","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"monolith_first with modular components\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"JavaScript\",\n      \"service\": \"React\",\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted, strong ecosystem\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ecosystem for payments and async tasks\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Django\",\n      \"provider\": \"Django Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batteries-included for auth, admin, and ORM\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"GraphQL (Graphene)\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient data fetching for reservations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance and JSON support\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": null,\n      \"service\": \"Redis\",\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency availability checks\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"RabbitMQ\",\n      \"provider\": \"RabbitMQ Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable background jobs for emails\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": null,\n      \"service\": \"Elasticsearch\",\n      \"provider\": \"Elastic NV\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast full-text reservation search\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"MinIO\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for attachments\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Mercure\",\n      \"provider\": \"Symfony\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open Web Push for booking updates\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Django-allauth\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OAuth, email, and multi-factor auth\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Docker Compose\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Local development and deployment parity\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"HCL\",\n      \"service\": \"Nomad\",\n      \"provider\": \"HashiCorp\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight alternative to Kubernetes\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified metrics, logs, and dashboards\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"YAML\",\n      \"service\": \"Drone CI\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native pipeline runner\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": null,\n      \"service\": \"Matomo\",\n      \"provider\": \"InnoCraft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-compliant visitor analytics\"\n    }\n  ],\n  \"main_risk\": \"Distributed consistency in cancellations during peak load.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16161,"probe_id":6041,"sample":1,"system":"booking_system","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices-k8s\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Next.js (React)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"SSG/SSR improves SEO and performance for reservations and reminders.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single codebase for iOS/Android speeds feature parity with web.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low latency for reservation and payment flows.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with strong performance and ecosystem.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Clear contract, compatibility with clients, and easy documentation generation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions and strong relational consistency for bookings and payments.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL (read-replica)\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Read scaling and reporting without affecting transactional primary.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast caching, distributed locks, and session storage for availability checks.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable message delivery for payments, cancellations, and reminder workflows.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast text and geospatial search for availability and listings.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO (S3-compatible)\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted S3-compatible storage for receipts, attachments, and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"NATS.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant pub/sub for real-time availability updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open source identity, OAuth2/OIDC, and fine-grained access management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard platform for reliably running microservices at scale.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Argo CD (GitOps)\",\n      \"service\": null,\n      \"provider\": \"Argo Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative GitOps deployments and automated rollouts on Kubernetes.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metric collection, alerting, and SLO-driven monitoring for system health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD, runners, and registry in a self-hosted package.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-friendly web analytics under full operational control.\"\n    }\n  ],\n  \"main_risk\": \"Operational overhead of running a fully self-hosted distributed stack increases downtime and maintenance burden.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16159,"probe_id":6041,"sample":1,"system":"booking_system","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA reservation platform with availability, payments, cancellations, and reminders.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"modular monolith\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": \"meta\",\n    \"delivery\": \"client\",\n    \"reason\": \"standard self-hostable web ui\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": \"golang\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"concurrency for reservations and payments\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"postgresql\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"acid for availability and bookings\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": \"redis\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast availability checks\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": \"rabbitmq\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reminders and cancellations\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"keycloak\",\n    \"service\": null,\n    \"provider\": \"keycloak\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"open source user auth\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hostable deployment\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics and alerting\"\n  }],\n  \"main_risk\": \"Self-managed postgres and rabbitmq may create operational load at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16171,"probe_id":6042,"sample":1,"system":"observability","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices-based observability platform with polyglot backends\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich interactive dashboards and real-time UI updates for observability data\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrent processing of high-volume logs, metrics, and traces\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance inter-service communication for distributed observability collectors\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with OpenAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard API for ingesting logs, metrics, traces and querying observability data\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable structured storage for alerts, dashboards, and metadata\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar database optimized for time-series metrics and analytics queries\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"AWS/OpenSearch Project\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text indexing and fast querying of logs and trace data at scale\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"In-memory caching of frequently accessed metrics and dashboard queries\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable message broker for buffering high-volume observability data ingestion\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cost-effective long-term archival of logs, traces, and raw observability data\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live dashboard updates and real-time alert notifications to users\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT with OAuth2\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Secure API access and user authentication with multi-tenant isolation\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for auto-scaling microservices under variable load\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Declarative workload orchestration and self-healing for platform reliability\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment pipelines with tight GitHub integration\"\n    }\n  ],\n  \"main_risk\": \"OpenSearch and Kafka clusters require careful capacity planning and operational expertise to handle unbounded log/trace volumes without significant cost or latency degradation.\",\n  \"first_component_to_replace_at_scale\": \"OpenSearch\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16232,"probe_id":6042,"sample":1,"system":"observability","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Build interactive dashboards, alert configuration, and data explorer UI.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput, low-latency language for ingestion, query, and alerting services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": \"Gin Team\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"HTTP framework for REST APIs with good performance.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Envoy Proxy\",\n      \"service\": null,\n      \"provider\": \"Envoy Project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"L7 gateway for routing, rate limiting, and telemetry collection on API traffic.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, high-throughput event stream to decouple ingestion from processing.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ingestion workers that consume Kafka, transform telemetry, and write to stores.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for configurations, user data, dashboards, and alert rules.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar OLAP for fast SQL analytics on logs, metrics, and traces.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search engine for log exploration and complex text queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": null,\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable archive for compressed telemetry and long-term retention.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Accelerate dashboard queries, rate limit state, and real-time aggregations.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": \"IETF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Push live metric updates and alert notifications to Web dashboards.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Red Hat / CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Identity and access management for multi-tenant users and API tokens.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": null,\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cloud infrastructure provider for compute, networking, and managed services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with managed control plane to operate all services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Internal monitoring and time-series metrics for the platform itself.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Internal dashboards for infrastructure, service, and pipeline health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, and deployment pipelines.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of self-hosted stateful systems (Kafka, ClickHouse, Elasticsearch) under high-ingestion multi-tenant workloads.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}","model_label":"DeepSeek"},{"response_id":16174,"probe_id":6042,"sample":1,"system":"observability","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency support and efficient memory usage for high-throughput data ingestion.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight framework providing high-performance HTTP routing for data pipelines.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides robust relational storage for user accounts, dashboard definitions, and alert rules.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Exceptional performance for large-scale analytical queries on logs and metrics.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable event streaming backbone for buffering high-volume incoming observability telemetry.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cost-effective long-term storage for historical log archives and trace data.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized container orchestration for scaling data processing microservices.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Offloads complex identity management and security authentication to a purpose-built service.\"\n    }\n  ],\n  \"main_risk\": \"Data ingestion bottlenecks during sudden traffic spikes impacting telemetry availability and retention latency.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16181,"probe_id":6042,"sample":1,"system":"observability","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"observability platform\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"high performance and concurrency for data ingestion\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"custom\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight for internal telemetry service\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Apache Cassandra\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"scalable time-series writes with linear scalability\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"low-latency queries for dashboard data\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"durable and partitioned event streaming pipeline\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"full-text search and indexing for logs\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Apache Parquet\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"cost-effective long-term log retention\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Apache Kafka Streams\",\n      \"service\": null,\n      \"provider\": \"Apache Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"stateful stream processing for alert evaluation\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Honeycomb\",\n      \"provider\": \"Honeycomb\",\n      \"delivery\": \"saas\",\n      \"reason\": \"end-to-end distributed tracing and metrics\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"centralized identity and SSO for dashboards\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"scalable container orchestration and auto-scaling\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"integrated pipeline with promotion gates\"\n    }\n  ],\n  \"main_risk\": \"managed service lock-in increasing operational costs at scale.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16186,"probe_id":6042,"sample":1,"system":"observability","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native observability platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast developer velocity and wide ecosystem for complex UIs like dashboards and log viewers.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency concurrency and wide use in observability tooling.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal HTTP framework with high performance and simple middleware model.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC + HTTP/JSON gateway\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient streaming and binary RPC with broad REST compatibility for clients.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational metadata store with managed backups and replicas.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-ingest analytical store for long-window metrics and usage analytics.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and coordination primitives with managed operations.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable high-throughput event bus for telemetry ingestion and processing pipelines.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, cost-efficient long-term storage for traces, chunks, and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket / gRPC streaming\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides live tailing and streaming updates to web clients with low latency.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC / OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed authentication and multi-tenant identity integrations out of the box.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Machines\",\n      \"service\": \"Amazon EC2\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"General compute for stateful components and worker fleets in a familiar cloud.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with native scaling, deployments, and ecosystem support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Loki, Tempo, Cortex\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed integrated metrics, logs, traces, and alerting to reduce ops burden.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with wide community actions and secrets management.\"\n    }\n  ],\n  \"main_risk\": \"Operational and cost complexity from multiple managed vendors and high telemetry ingestion at scale.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16194,"probe_id":6042,"sample":1,"system":"observability","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"React\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"dashboards and visualization UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"performant ingestion and query handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"ClickHouse\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"columnar storage for metrics logs traces\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"S3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"long-term raw data retention\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"service scaling and deployment\"\n  }],\n  \"main_risk\": \"Ingestion volume spikes can overwhelm ClickHouse replicas causing query slowdowns.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16201,"probe_id":6043,"sample":1,"system":"observability","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Monolithic backend with managed observability services\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight SPA for dashboards, minimal operational overhead\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient collection and aggregation of telemetry data\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal framework for HTTP API routing and middleware\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenTelemetry Protocol\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard telemetry ingestion protocol, vendor-neutral\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cost-effective relational storage for metadata and alerts\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, low-memory full-text search for logs\"\n    },\n    {\n      \"role\": \"time_series_storage\",\n      \"technology\": \"VictoriaMetrics\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient metrics storage with minimal resource consumption\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Single service handles caching and async telemetry buffering\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"DigitalOcean App Platform\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Affordable managed hosting with container support, stays under budget\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight auth via service, no external dependency needed initially\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier sufficient for two-engineer team, integrated with repo\"\n    }\n  ],\n  \"main_risk\": \"Single engineer availability gap and data loss if unmanaged backups fail on constrained infrastructure.\",\n  \"first_component_to_replace_at_scale\": \"VictoriaMetrics to managed time-series database or Prometheus cluster\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16276,"probe_id":6043,"sample":1,"system":"observability","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified dashboard, exploration, and alerting UI with querying for all telemetry.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Loki\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Log ingestion and query API, uses object storage to remain cheap.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Mimir\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics ingestion and query API, long-term storage in S3 under budget.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Tempo\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Trace ingestion and query API, fully backend by object storage.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Serverless, zero-cost embedded DB for Grafana config, users, and dashboards.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheapest S3-compatible storage, free 10 GB, no egress via Bandwidth Alliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Private Server\",\n      \"service\": \"Hetzner CX41\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"4 vCPU, 16 GB RAM at ~$6/mo, runs all self-hosted services.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative multi-service management on a single host, simple for 2 engineers.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier enough for private repo, automates builds and deploys.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosting the full LGTM stack on one VM risks reliability and scaling for two engineers, demanding deep operational toil.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16204,"probe_id":6043,"sample":1,"system":"observability","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Monolithic modular\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and efficiency for handling massive observability data streams.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides extreme throughput with minimal memory footprint to stay within budget.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"VictoriaMetrics\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Most efficient storage engine for metrics and traces with low resource consumption.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Highly cost-effective log aggregation that leverages object storage for scalability.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lowest cost long-term storage for historical logs and trace data.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Virtual Private Server\",\n      \"service\": \"Lightsail\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Predictable flat-rate pricing helps keep infrastructure costs strictly under $200 per month.\"\n    }\n  ],\n  \"main_risk\": \"Scaling ingestion overhead may exceed the CPU limits of the fixed-price VPS instances.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16210,"probe_id":6043,"sample":1,"system":"observability","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless observability\",\n  \"components\": [\n    {\"role\": \"api\", \"technology\": \"HTTP\", \"service\": null, \"provider\": null, \"delivery\": \"saas\", \"reason\": \"Ingest via vendor-specific endpoints\"},\n    {\"role\": \"primary_database\", \"technology\": \"TimescaleDB\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Cost-effective time-series for metrics\"},\n    {\"role\": \"secondary_database\", \"technology\": \"ClickHouse\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Fast OLAP for logs/traces\"},\n    {\"role\": \"queue\", \"technology\": \"Kafka\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"High-throughput buffer for telemetry\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": null, \"provider\": null, \"delivery\": \"managed\", \"reason\": \"Low-latency metadata caching\"},\n    {\"role\": \"object_storage\", \"technology\": \"S3\", \"service\": \"AWS S3\", \"provider\": \"AWS\", \"delivery\": \"saas\", \"reason\": \"Durable, cheap log/trace storage\"},\n    {\"role\": \"frontend\", \"technology\": \"React\", \"service\": \"Grafana\", \"provider\": null, \"delivery\": \"saas\", \"reason\": \"Rich dashboards out-of-the-box\"},\n    {\"role\": \"observability\", \"technology\": null, \"service\": \"Grafana Cloud\", \"provider\": \"Grafana\", \"delivery\": \"saas\", \"reason\": \"Unified SaaS for metrics/alerts\"},\n    {\"role\": \"ci_cd\", \"technology\": \"GitHub Actions\", \"service\": null, \"provider\": \"GitHub\", \"delivery\": \"saas\", \"reason\": \"Free for public repos or low-cost private\"},\n    {\"role\": \"hosting\", \"technology\": \"Docker\", \"service\": \"Fly.io\", \"provider\": \"Fly.io\", \"delivery\": \"managed\", \"reason\": \"Cheap small VMs for self-hosted services\"}\n  ],\n  \"main_risk\": \"AWS S3 egress costs could spike if logs/traces are queried frequently\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16213,"probe_id":6043,"sample":1,"system":"observability","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-vm self-hosted observability stack\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana OSS\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified dashboards, alerts, logs, and traces UI.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki + Tempo + Alertmanager\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack covering metrics, logs, traces, alerts.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable metadata storage with low resource footprint.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VM\",\n      \"service\": \"Hetzner Cloud CX11\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Very low cost VPS to keep monthly expenses under budget.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker Compose\",\n      \"service\": null,\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple deployment for two engineers on a single VM.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 (OIDC)\",\n      \"service\": \"GitHub OAuth\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap, familiar SSO avoiding user management overhead.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free or low-cost CI for small teams and deployments.\"\n    }\n  ],\n  \"main_risk\": \"Single VM storage and single-instance services are a single point of failure and limit scale.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16222,"probe_id":6043,"sample":1,"system":"observability","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"self-hosted observability stack\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"grafana\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"unified ui for dashboards alerts traces\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics storage with low resource footprint\"\n  }, {\n    \"role\": \"secondary_database\",\n    \"technology\": \"loki\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"log aggregation pairs directly with grafana\"\n  }, {\n    \"role\": \"search\",\n    \"technology\": \"tempo\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"distributed tracing with minimal overhead\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"vps\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"three small instances stay under 200 usd\"\n  }, {\n    \"role\": \"ci_cd\",\n    \"technology\": \"github actions\",\n    \"service\": null,\n    \"provider\": \"github\",\n    \"delivery\": \"saas\",\n    \"reason\": \"free tier sufficient for two engineers\"\n  }],\n  \"main_risk\": \"Two engineers must maintain and upgrade four self-hosted components.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16233,"probe_id":6044,"sample":1,"system":"observability","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"distributed observability platform with polyglot ingest and unified query layer\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive dashboards and alert management UI at scale\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, efficient memory, native gRPC support for ingest\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary protocol for 100k concurrent ingest connections\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST and gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for dashboards, gRPC for high-throughput agent connections\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Column-oriented OLAP for 10M MAU timeseries metrics and logs at scale\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metadata, alert rules, dashboard definitions, user configuration\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session cache, alert state, frequently accessed dashboards\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Decouple ingest from processing, enable replay, handle 100k concurrent producers\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"ClickHouse inverted indexes\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native text search in logs within OLAP database, avoid separate system\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"MinIO or cloud S3\",\n      \"provider\": \"MinIO or AWS\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Long-term log and trace data retention, cold storage tier\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with event streaming\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live dashboard updates and real-time alert notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, scalable authentication for 10M users\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux containers\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Portable, repeatable deployments across infrastructure\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Auto-scale ingest workers, manage stateful services, handle failures\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Vendor-neutral instrumentation of the platform itself\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI or GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitLab or GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment of platform services\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse cluster consistency and rebalancing under sustained 10M MAU ingest load may require operational expertise to avoid hot shards.\",\n  \"first_component_to_replace_at_scale\": \"PostgreSQL—migrate metadata and alert state to distributed consensus system (Etcd/Consul) for horizontal metadata scaling beyond 100k concurrent users\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16313,"probe_id":6044,"sample":1,"system":"observability","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Event-driven microservices with columnar OLAP\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified UI for dashboards, alerting, and data exploration.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Trickster\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Accelerates dashboard queries by caching and merging time-series data.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance concurrency for ingestion and query services.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Columnar DB optimized for fast analytics on logs, metrics, and traces.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores Grafana dashboards, users, orgs, and alerting configurations.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Caches query results and session data for fast loads.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Buffers high-volume telemetry ingestion to smooth peaks before storage.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for long-term telemetry and ClickHouse tiered storage.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Centralized OIDC identity and access management for 10M users.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes to orchestrate containerized services at scale.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"ArgoCD\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"GitOps continuous delivery for the platform on Kubernetes.\"\n    }\n  ],\n  \"main_risk\": \"ClickHouse cluster may struggle with high-cardinality metrics under 100k concurrent queries.\",\n  \"first_component_to_replace_at_scale\": \"ClickHouse\"\n}","model_label":"DeepSeek"},{"response_id":16235,"probe_id":6044,"sample":1,"system":"observability","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native observability stack\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and efficiency for concurrent log and metric ingestion.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency communication for high-volume telemetry ingestion and internal service calls.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Unmatched analytical query performance for massive-scale time-series and log data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust backpressure management and stream processing for high-velocity telemetry spikes.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, durable cold storage for long-term historical telemetry data.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elasticsearch Service\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides fast full-text indexing for complex log forensic queries.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container management for elastic horizontal scaling under high concurrency.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reliable, enterprise-grade identity management offloads complex authentication burden.\"\n    }\n  ],\n  \"main_risk\": \"Data ingestion spikes exceeding ClickHouse insertion throughput could cause telemetry loss without proper streaming buffer management.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16241,"probe_id":6044,"sample":1,"system":"observability","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"observability platform\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"golang.org\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"low-latency, high-concurrency processing for telemetry data\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"Grafana Phlare\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"native Prometheus/OTel compatibility and horizontal scaling\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"prometheus.io\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"de facto metrics standard with scalable scrape model\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore for Redis\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"low-latency lookups for alerts and dashboard rendering\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"clickhouse.com\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"columnar storage for high-cardinality metrics and logs\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3-compatible storage\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"durable, cost-effective archive and cold storage\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Kafka\",\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"high-throughput ingestion backpressure buffer\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Grafana Loki\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"centrally maintain correlation between metrics, logs, and traces\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"managed control plane for scalable container orchestration\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Kubernetes\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"de facto standard for elastic workload scheduling\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"tight coupling with source control and rapid rollback\"\n    },\n    {\n      \"role\": \"frontend\",\n      \"technology\": null,\n      \"service\": \"Grafana Enterprise\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"unified dashboard rendering across ten million users\"\n    }\n  ],\n  \"main_risk\": \"Data ingestion lag under sudden concurrency spikes may overload Kafka or ClickHouse\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16248,"probe_id":6044,"sample":1,"system":"observability","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native observability platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Amazon CloudFront\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"SPA with global CDN for low-latency UI delivery.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency and low-latency telemetry processing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC / net/http\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast binary APIs for internal and ingestion paths.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST + gRPC\",\n      \"service\": \"AWS Application Load Balancer\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scales HTTP/gRPC traffic with built-in TLS and routing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse Inc.\",\n      \"delivery\": \"managed\",\n      \"reason\": \"High-performance OLAP storage for logs, metrics, and traces.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional metadata, tenancy, and durable relational storage.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache (Redis)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and real-time counters.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, high-throughput ingestion and stream buffering.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch (Elasticsearch-compatible)\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text log search and fast indexed queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, cost-effective archival for raw telemetry and backups.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": \"Amazon API Gateway WebSocket\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency live tailing and real-time notifications.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable multi-tenant authentication and SSO integrations.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global regions and rich managed services ecosystem.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration and workload portability.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Mature monitoring, alerting, and visualization for platform health.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated pipelines and wide ecosystem for CI/CD.\"\n    }\n  ],\n  \"main_risk\": \"Primary risk is ClickHouse becoming the write-scale or query-performance bottleneck requiring alternate storage or sharding.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16247,"probe_id":6044,"sample":1,"system":"observability","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"distributed time-series\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"dashboards and visualization\"\n  },{\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high-throughput data ingestion\"\n  },{\n    \"role\": \"api\",\n    \"technology\": \"grpc\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"efficient multi-signal intake\"\n  },{\n    \"role\": \"primary_database\",\n    \"technology\": \"clickhouse\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"scalable metrics logs traces\"\n  },{\n    \"role\": \"queue\",\n    \"technology\": \"kafka\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"buffer 100k concurrent ingest\"\n  },{\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"cheap raw data retention\"\n  },{\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"dynamic scaling to 100k users\"\n  }],\n  \"main_risk\": \"Kafka hot partitions under uneven signal bursts.\",\n  \"first_component_to_replace_at_scale\": \"kafka\"\n}","model_label":"Grok"},{"response_id":16264,"probe_id":6045,"sample":1,"system":"observability","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices observability platform with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive dashboards and alert management UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance ingestion, low latency metrics processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient multi-protocol log, metric, trace collection\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST and OpenTelemetry Protocol\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard telemetry ingestion endpoints for agents\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Alert rules, dashboard configs, user management, EU-hosted\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series optimized columnar storage for metrics and traces\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text indexed log search with aggregations\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Query caching, real-time metric aggregation state\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Buffered ingestion pipeline, log and metric replay capability\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live dashboard updates and alert notifications\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Secure user and service authentication, EU-controlled\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO or S3-compatible\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Long-term trace and log retention, EU region locked\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"OVHcloud or Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration on EU provider with data sovereignty\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European SaaS provider with EU data centers\"\n    }\n  ],\n  \"main_risk\": \"Kafka ingestion bottleneck under sustained high-cardinality metric spikes; requires partition tuning and consumer scaling.\",\n  \"first_component_to_replace_at_scale\": \"Elasticsearch for logs (migrate to ClickHouse single storage layer)\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16327,"probe_id":6045,"sample":1,"system":"observability","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Microservices with event-driven ingestion\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Interactive dashboards and alerts UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance concurrent ingestion and query\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"chi\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP router for REST APIs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"VictoriaMetrics\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient time-series storage for metrics\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Scaleway Managed Database\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational store for tenants, dashboards, alerts config\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Scaleway Managed Redis\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session and dashboard caching, rate limiting\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Aiven for Apache Kafka\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouple ingestion from processing; EU-hosted\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": \"Aiven for OpenSearch\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search for logs and traces stored in EU\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Long-term log and trace archival, backups\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-contained EU identity and multi-tenancy\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted managed Kubernetes for all workloads\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted VictoriaMetrics single-node may become availability and performance bottleneck under massive metrics ingestion.\",\n  \"first_component_to_replace_at_scale\": \"VictoriaMetrics\"\n}","model_label":"DeepSeek"},{"response_id":16265,"probe_id":6045,"sample":1,"system":"observability","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Cloud-native microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and efficient memory management for processing high-volume telemetry streams.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for metadata, dashboard configurations, and user identity.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for full-text log indexing and complex time-series queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, durable storage for long-term retention of raw logs and trace data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides backpressure and high-throughput ingestion handling for massive telemetry bursts.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standardized regional EU cluster management for scaling containerized ingestors and processors.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Compute Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Ensures all data processing and storage remains within strictly defined EU data residency zones.\"\n    }\n  ],\n  \"main_risk\": \"High operational complexity and rising storage costs when retaining large volumes of telemetry data.\",\n  \"first_component_to_replace_at_scale\": \"search\"\n}","model_label":"Gemini (lite)"},{"response_id":16273,"probe_id":6045,"sample":1,"system":"observability","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"EU-Observability Platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Turnkey open-source dashboards with EU hosting options.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"High concurrency and minimal runtime overhead.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Managed PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted, horizontal scaling via TimescaleDB extension.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis Enterprise\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU regions support and official high-availability.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Enterprise-grade Kafka with EU data residency controls.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Elastic Cloud\",\n      \"provider\": \"Elastic\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in alerting and EU hosting in selected regions.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3 Compatible\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"GDPR-compliant EU storage with lifecycle policies.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Federated identity with EU data processing add-on.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Google Cloud Platform\",\n      \"provider\": \"Google\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency regions and managed services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Tight source-control integration and EU runners.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Prometheus\",\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"De facto metrics standard with EU hosting flexibility.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Unified instrumentation across logs, metrics, traces.\"\n    }\n  ],\n  \"main_risk\": \"Data residency violations if provisioning fails to pin resources to EU region.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16281,"probe_id":6045,"sample":1,"system":"observability","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native, self-hosted EU stack\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Widely used, componentized UI for dashboards and log exploration.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient, concurrent, and common for observability ingestion and services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with strong performance for Go services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary protocol for high-throughput telemetry ingestion and interservices.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"OVHcloud DB for PostgreSQL\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID metadata store, managed in EU by OVH for compliance and reliability.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast analytical queries over logs/metrics usage and long-term analytics.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"OVHcloud Cloud Databases for Redis\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and short-term state, managed within EU.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable high-throughput buffering for telemetry ingestion pipelines.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Log and event indexing with open-source compatibility and EU deployment.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"OVHcloud Object Storage\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Long-term chunk storage for metrics/logs, hosted in EU by OVH.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"NATS (JetStream)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight real-time streams for live tailing and UI updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC provider allowing EU-hosted identity and fine-grained RBAC.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"OVHcloud Public Cloud\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based infrastructure meeting data residency and operational needs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration managed in EU reduces operational burden.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana stack (Grafana, Cortex, Loki, Tempo)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven OSS stack covering metrics, logs, traces, dashboards, and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated pipelines and runners deployable within EU infrastructure.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity and stateful scaling of many self-hosted components increases outage and maintenance risk.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16277,"probe_id":6045,"sample":1,"system":"observability","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven pipeline\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"grafana\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"unified dashboards and alerts ui\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"high-throughput ingestion and processing\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"clickhouse\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"eu-based columnar time-series storage\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"cloud native computing foundation\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"standard container orchestration\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"cloud\",\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"german provider satisfies eu data rules\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"opentelemetry\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"standard collection for logs metrics traces\"\n  }],\n  \"main_risk\": \"Scaling custom ingestion may lag managed eu alternatives.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16294,"probe_id":6046,"sample":1,"system":"observability","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"open_source_observability_platform\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interactive dashboards and alert management UI\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, efficient time-series data handling\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"net/http with custom routing\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead for performance-critical ingestion paths\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenTelemetry Protocol (OTLP)\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for logs, metrics, traces collection\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metadata, alert rules, configuration storage\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series metrics storage and querying\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"AWS/Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-text search over logs and trace events\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Query result caching, alert state management\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable ingestion buffer for high-volume data streams\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Long-term trace and log archival with S3 compatibility\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with OpenID Connect\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrate with existing identity providers\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Orchestrate distributed observability components\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container scheduling and service mesh integration\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitor platform's own health and logs\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI or Jenkins\",\n      \"service\": null,\n      \"provider\": \"GitLab/Jenkins Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Automated testing and deployment of platform updates\"\n    }\n  ],\n  \"main_risk\": \"Kafka, OpenSearch, and Prometheus at scale require significant operational expertise in tuning, sharding, and retention management.\",\n  \"first_component_to_replace_at_scale\": \"Kafka ingestion layer—migrate to partitioned, distributed stream processor or distributed time-series database optimized for write-heavy workloads\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16384,"probe_id":6046,"sample":1,"system":"observability","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"microservices\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified dashboards and visualization for all telemetry signals.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Grafana\",\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"HTTP API for dashboards, data sources, users, and alerting.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"PostgreSQL\",\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Persists Grafana metadata, dashboards, users, and configuration.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Grafana Mimir\",\n      \"service\": \"Mimir\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dedicated time-series database for metrics storage and queries.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Grafana Loki\",\n      \"service\": \"Loki\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Log aggregation and indexed search engine.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Grafana Tempo\",\n      \"service\": \"Tempo\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Distributed trace storage and query backend.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable S3-compatible storage for telemetry chunks and blocks.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry Collector\",\n      \"service\": \"OpenTelemetry Collector\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Vendor-neutral ingestion and routing of logs, metrics, and traces.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Kubernetes\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration platform for all components.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"ArgoCD\",\n      \"service\": \"ArgoCD\",\n      \"provider\": \"Argo Project (CNCF)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"GitOps continuous delivery for declarative infrastructure.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab CI\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted pipelines for building and testing the platform.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of scaling self-hosted stateful services (PostgreSQL, Loki, Mimir, Tempo) and object storage under high ingestion pressure.\",\n  \"first_component_to_replace_at_scale\": \"MinIO\"\n}","model_label":"DeepSeek"},{"response_id":16296,"probe_id":6046,"sample":1,"system":"observability","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven observability pipeline\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Golang\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency performance for telemetry data processing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"VictoriaMetrics\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Highly efficient time-series storage with lower resource footprint than competitors.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Grafana Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Cost-effective log aggregation designed for label-based indexing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage providing scalable durability for historical telemetry data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ensures reliable backpressure handling for massive, unpredictable telemetry spikes.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized scalable infrastructure management for containerized observability services.\"\n    },\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard visualization layer for unified dashboards and alerting.\"\n    }\n  ],\n  \"main_risk\": \"Operating a massive, stateful Apache Kafka cluster creates significant operational burden and potential data loss risk.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16304,"probe_id":6046,"sample":1,"system":"observability","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"Open-source observability stack\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta Platforms, Inc.\",\n      \"delivery\": \"client\",\n      \"reason\": \"De facto standard for web UIs with rich ecosystem\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performance and simplicity for observability workloads\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"LabStack\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework with Prometheus metrics built-in\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Defined by backend framework endpoints\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"TimescaleDB\",\n      \"service\": null,\n      \"provider\": \"Timescale, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series optimized PostgreSQL extension for metrics\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable general-purpose storage for traces and metadata\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency in-memory data store common in observability\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"Synadia Communications, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput lightweight messaging for traces and alerts\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"Amazon Web Services (open source)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fork of Elasticsearch focused on open-source sustainability\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Centralized storage for logs and traces via self-hosted S3-compatible\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"QuestDB\",\n      \"service\": null,\n      \"provider\": \"QuestDB, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series DB with high-throughput ingest for live metrics\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Keycloak\",\n      \"provider\": \"Keycloak project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured open-source identity and access management\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Observability stack runs on Kubernetes or VMs\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard container orchestration with CNCF tooling ecosystem\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Central dashboard and visualization for all observability data\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Time-series DB and monitoring system standard in cloud-native\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Tempo\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-scale, cost-efficient distributed tracing backend\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Loki\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable, cost-effective log aggregation with Prometheus-like querying\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"AlertManager\",\n      \"provider\": \"Prometheus project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source alert routing and deduplication for Prometheus\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitLab CI/CD\",\n      \"provider\": \"GitLab, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Comprehensive CI/CD with built-in container registry and Kubernetes integration\"\n    }\n  ],\n  \"main_risk\": \"eschereal scalability ceiling of self-hosted QuestDB for high-volume traces during peak load.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16312,"probe_id":6046,"sample":1,"system":"observability","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"cloud-native self-hosted observability stack\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry-standard dashboarding and wide datasource support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance, low-latency binaries for ingestion and APIs.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Go net/http\",\n      \"service\": null,\n      \"provider\": \"Go project\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal dependencies, standard library HTTP for stable services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"gRPC community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient, typed RPC for high-throughput ingestion and service comms.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable metadata store for users, dashboards, and configuration.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Prometheus community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Proven TSDB for scraping, alerting, and short-term metrics retention.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"OpenSearch\",\n      \"service\": null,\n      \"provider\": \"OpenSearch community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, scalable log indexing and full-text search engine.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible durable store for traces, backups, and long-term metrics.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency caching layer for metadata and API rate limiting.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable, scalable ingestion buffer for logs and metric events.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard platform for running and scaling containerized components.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Ubuntu Server (Linux)\",\n      \"service\": null,\n      \"provider\": \"Canonical\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stable, widely supported OS for cluster nodes and tooling.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OpenID/OAuth2 identity provider with federation and RBAC support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry Collector\",\n      \"service\": null,\n      \"provider\": \"OpenTelemetry community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Unified collection pipeline for traces, metrics, and logs.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CE\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD and artifact registry for deployment automation.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Prometheus Alertmanager\",\n      \"service\": null,\n      \"provider\": \"Prometheus community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Alert routing, deduplication, silencing, and notification management.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Grafana Tempo\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable, S3-backed trace storage integrated with Grafana and OTEL.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity and staffing burden of self-hosting and operating many distributed open-source components.\",\n  \"first_component_to_replace_at_scale\": \"Apache Kafka\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16314,"probe_id":6046,"sample":1,"system":"observability","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn observability platform collecting logs, metrics, traces, alerts, and dashboards.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"LGTM stack\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"grafana\",\n    \"service\": null,\n    \"provider\": \"grafana labs\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"dashboards and visualization\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": \"prometheus\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"metrics storage and scrape\"\n  }, {\n    \"role\": \"secondary_database\",\n    \"technology\": \"loki\",\n    \"service\": null,\n    \"provider\": \"grafana labs\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"log aggregation\"\n  }, {\n    \"role\": \"other\",\n    \"technology\": \"tempo\",\n    \"service\": null,\n    \"provider\": \"grafana labs\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"distributed traces\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"deployment and scaling\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"alertmanager\",\n    \"service\": null,\n    \"provider\": \"prometheus\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"alert routing\"\n  }],\n  \"main_risk\": \"Managing multiple stateful components increases operational load.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16324,"probe_id":6047,"sample":1,"system":"ml_inference","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"async ML inference service with versioned models\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard inference request/response interface with model versioning support\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant ML ecosystem; native TensorFlow, PyTorch, model serving integration\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-first, high throughput, built-in validation, type hints for model I/O\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TorchServe\",\n      \"service\": null,\n      \"provider\": \"PyTorch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native model versioning, batch transform, multi-model serving, PyTorch native\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable async batch job queue; lower latency than RabbitMQ for this scale\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID for request metadata, inference history, model registry; strong consistency required\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Model weights caching, request deduplication, feature caching for inference\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Model artifact versioning, batch input/output storage, durable archive\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless API authentication; minimal overhead for high-frequency inference calls\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"GPU orchestration, model server scaling, batch job scheduling\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CronJobs for batch processing, Deployment for inference API, native to EKS\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Jaeger\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics for model latency/throughput; distributed traces for request path debugging\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Model registry integration, containerized inference tests, artifact versioning\"\n    }\n  ],\n  \"main_risk\": \"Model inference latency variance under batch load if TorchServe instance pool scales too slowly or GPU memory fragmentation occurs.\",\n  \"first_component_to_replace_at_scale\": \"Redis Streams → managed Apache Kafka when batch throughput exceeds 10k/min and durability window extends beyond memory limits\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16395,"probe_id":6047,"sample":1,"system":"ml_inference","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Manages API authentication, authorization, and machine-to-machine tokens.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST API Gateway\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles routing, throttling, request validation, and security for inference endpoints.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant language for ML ecosystem, used in API server.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async framework with automatic OpenAPI specs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational store for model metadata, job states, and user info.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed in-memory cache with high availability and low latency.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message Queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed, highly available message queue for batch inference tasks.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object Storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable, scalable storage for versioned model artifacts and batch input/output files.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Apache Airflow\",\n      \"service\": \"Amazon MWAA\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates batch inference pipelines with scheduling, retries, and monitoring.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Triton Inference Server\",\n      \"service\": null,\n      \"provider\": \"NVIDIA\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance serving with model versioning, dynamic batching, and GPU support.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with auto-scaling and GPU node groups for ML workloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified observability platform with integrated dashboards and alerting.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"ArgoCD\",\n      \"service\": \"ArgoCD\",\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"GitOps-based continuous delivery for all services and model configs.\"\n    }\n  ],\n  \"main_risk\": \"Model version proliferation and GPU resource contention under concurrent batch and real-time inference loads may degrade latency.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"DeepSeek"},{"response_id":16325,"probe_id":6047,"sample":1,"system":"ml_inference","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant ecosystem for machine learning libraries and model deployment.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high performance and native asynchronous support for IO-bound inference tasks.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard protocol for synchronous inference requests and batch job submission.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable transactional storage for model metadata and inference request state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency message broker for decoupling high-volume batch inference processing tasks.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Industry standard for durable storage of large serialized model artifact files.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"Sagemaker\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Dedicated infrastructure for scalable, versioned model hosting and hardware acceleration.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable container management for distributed inference service components and workers.\"\n    }\n  ],\n  \"main_risk\": \"High latency in batch processing queues could lead to request timeouts and system backlog during traffic spikes.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"Gemini (lite)"},{"response_id":16334,"probe_id":6047,"sample":1,"system":"ml_inference","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"event-driven ML microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Strong ML ecosystem and async-capable asyncio\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"client\",\n      \"reason\": \"High throughput, automatic async support, OpenAPI\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Stateless, versioned endpoints for ML models\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for model versioning and batch jobs\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"MemoryDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond fetches from batch pre-compute\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"SQS\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Decouple real-time inference from high-latency batch\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, versioned artifact storage for models\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Portable, auto-scale ML inference containers\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Serving\",\n      \"service\": null,\n      \"provider\": \"TensorFlow\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Production-grade model serving at low latency\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"CloudWatch & Prometheus\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified metrics, logs, traces with alerting\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated testing and deployment pipelines\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable, OAuth2 & JWT token management\"\n    }\n  ],\n  \"main_risk\": \"Cold-start latency for infrequent batch jobs stalling inference.\",\n  \"first_component_to_replace_at_scale\": \"SQS\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16353,"probe_id":6047,"sample":1,"system":"ml_inference","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-microservices-ml-serving\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary language for ML code, data pipelines, and API implementations.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async, high-performance HTTP framework with automatic OpenAPI generation.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": \"Envoy\",\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary RPC and Envoy for routing, observability, and TLS termination.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"KServe\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native model serving with versioning, batch and realtime support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed control plane for reliability, upgrades, and multi-AZ availability.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"EC2 (GPU and CPU instances)\",\n      \"service\": \"Amazon EC2\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Worker nodes and GPU instances for inference and batch processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 API\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for model artifacts, datasets, and batch inputs/outputs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Transactional metadata, user data, and model registry metadata storage.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable, scalable task queue for batch job orchestration and retries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency feature caching, rate limiting, and session storage.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + OpenTelemetry\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, traces, and hosted dashboards with alerting and long-term retention.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Container builds, tests, and automated deployments to EKS pipelines.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed identity, token issuance, and RBAC integration.\"\n    }\n  ],\n  \"main_risk\": \"Inference scaling is GPU-bound and model-version churn increases deployment complexity and operational cost.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16346,"probe_id":6047,"sample":1,"system":"ml_inference","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven inference api\",\n  \"components\": [{\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async endpoints plus background batch jobs\"\n  },{\n    \"role\": \"ml_inference\",\n    \"technology\": \"torchserve\",\n    \"service\": null,\n    \"provider\": \"pytorch\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"native versioning and batch inference\"\n  },{\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"decouple api from batch jobs\"\n  },{\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"store model metadata and versions\"\n  },{\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"saas\",\n    \"reason\": \"persist model artifacts durably\"\n  },{\n    \"role\": \"cache\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"cache repeated inference results\"\n  },{\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"scale inference replicas\"\n  },{\n    \"role\": \"observability\",\n    \"technology\": \"prometheus\",\n    \"service\": null,\n    \"provider\": \"cncf\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"track latency and errors\"\n  }],\n  \"main_risk\": \"torchserve replicas saturate gpu memory under bursty batch load.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"Grok"},{"response_id":16357,"probe_id":6048,"sample":1,"system":"ml_inference","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless_ml_inference\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard for ML; two engineers can maintain it efficiently\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, async-ready, minimal overhead for inference APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard, simple, adequate for model serving and batch jobs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable, free tier sufficient; stores model metadata and versions\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"MinIO or AWS S3\",\n      \"provider\": \"AWS or self-hosted\",\n      \"delivery\": \"saas\",\n      \"reason\": \"S3 free tier covers model artifacts; self-hosted MinIO option if needed\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Celery with Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles batch processing; Redis free tier on Render or Railway\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"ONNX Runtime or TensorFlow Lite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, version-agnostic, runs on minimal hardware\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker containers\",\n      \"service\": \"Railway or Render free tier\",\n      \"provider\": \"Railway or Render\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier sustains small inference workload; easy scaling path\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos; two engineers do not need advanced CI\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Structured logging\",\n      \"service\": \"Loki or free tier Datadog\",\n      \"provider\": \"Grafana or Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Minimal overhead; free tier logs sufficient for small team\"\n    }\n  ],\n  \"main_risk\": \"Free-tier hosting and storage may hit request/compute limits; batch inference queues could overflow without auto-scaling.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16423,"probe_id":6048,"sample":1,"system":"ml_inference","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"serverless\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"Amazon API Gateway\",\n      \"service\": \"HTTP API\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"cost-effective HTTP endpoint, free tier 1M requests/month.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python 3.11\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"runtime\",\n      \"reason\": \"team's primary language for ML development.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"lightweight framework easily adapted to Lambda via Mangum.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"AWS Lambda\",\n      \"service\": \"Lambda (container image)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"serverless inference, scales to zero, covered by free tier.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Amazon DynamoDB\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"serverless NoSQL for model metadata, free tier sufficient.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Amazon S3\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"store model artifacts and batch results, free tier 5GB.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"decouple batch jobs, free tier 1M requests/month.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Amazon API Gateway\",\n      \"service\": \"API keys\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"simple edge authentication without custom infrastructure.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Amazon Web Services\",\n      \"service\": \"Free Tier\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"entire stack within free tier, initial cost near zero.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Amazon CloudWatch\",\n      \"service\": null,\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"logs and metrics for serverless components, free tier included.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"free for public repos, integrates with AWS serverless deployment.\"\n    }\n  ],\n  \"main_risk\": \"Unexpected traffic spike may breach free tier limits and incur costs exceeding budget.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"DeepSeek"},{"response_id":16362,"probe_id":6048,"sample":1,"system":"ml_inference","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Serverless Event-Driven\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant ecosystem for machine learning integration and library support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance and native asynchronous support for handling inference requests efficiently.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"ONNX Runtime\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Optimized cross-platform inference engine that works well with memory-constrained environments.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective and reliable storage for model versions and batch processing artifacts.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud Run\",\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless scaling to zero ensures costs stay extremely low during early stages.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Robust relational storage for managing metadata alongside model versions.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Cloud Tasks\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native integration for offloading long-running batch inference jobs asynchronously.\"\n    }\n  ],\n  \"main_risk\": \"Cold starts in serverless environments may introduce latency spikes for initial inference requests.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"Gemini (lite)"},{"response_id":16368,"probe_id":6048,"sample":1,"system":"ml_inference","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless batch inference\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rapid ML ecosystem and community support\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": null,\n      \"service\": \"FastAPI\",\n      \"provider\": \"tiangolo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Async, lightweight, ideal for serverless APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pay-per-request fits bursty ML inference traffic\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"scikit-learn\",\n      \"service\": \"AWS Lambda\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cold-start briefly acceptable under $200/month\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cheap durable storage for model artifacts\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Decouple synchronous API from batch processing\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"AWS Lambda + API Gateway\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Zero server management under cost cap\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"AWS EventBridge\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Schedule nightly batch jobs cost-effectively\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier covers core pipeline needs\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"AWS CloudWatch\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless integration with no added cost tier\"\n    }\n  ],\n  \"main_risk\": \"AWS Lambda cold starts could spike latency unpredictably.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16365,"probe_id":6048,"sample":1,"system":"ml_inference","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"single-node-containerized\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich ML ecosystem, concise code, many inference libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async, fast, automatic OpenAPI docs, simple to deploy.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST (JSON, OpenAPI)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Broad client compatibility and simple integration for inference calls.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable relational metadata storage for versions and audit information.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO (S3-compatible)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for model binaries and batch artifacts.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis (Pub/Sub / RQ broker)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight broker for background batch and inference tasks.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"In-memory cache for model outputs and feature/materialized results.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"ONNX Runtime\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Portable, CPU-efficient runtime for versioned model inference.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VM (Ubuntu)\",\n      \"service\": \"Hetzner Cloud CX11\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Very low monthly cost VPS adequate for initial traffic and experiments.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker, Docker Compose\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple multi-container orchestration with minimal operational overhead.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT (RFC 7519)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, simple API key and token verification for service clients.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier available and integrates with repository and Docker builds.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight metrics and dashboards hosted alongside services on same VM.\"\n    }\n  ],\n  \"main_risk\": \"A single small VPS is a single point of failure and will bottleneck CPU-bound inference.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16380,"probe_id":6048,"sample":1,"system":"ml_inference","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"monolithic api\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"strong ML ecosystem\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async and lightweight\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"transformers\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"model version support\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"minio\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"store model artifacts\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"redis\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"batch job queuing\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"droplet\",\n    \"provider\": \"digitalocean\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fits $200 monthly limit\"\n  }],\n  \"main_risk\": \"CPU-only inference limits throughput and model size.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"Grok"},{"response_id":16394,"probe_id":6049,"sample":1,"system":"ml_inference","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Microservices with async ML inference\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard interface for 100k concurrent inference requests\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ML ecosystem dominance; native inference serving libraries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High throughput async framework; sub-millisecond overhead\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Serving\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Model versioning; concurrent serving; batching support built-in\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Batch inference fan-out; durability; handles 10M user request spikes\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Model metadata, versions, inference request logs; ACID guarantees\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Inference result caching; model version routing; 100k concurrent lookups\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Model artifact versioning; immutable storage; cost-effective at scale\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Auto-scaling; multi-region inference; resource isolation per model\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration; native batch job scheduling for offline inference\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + ELK\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Inference latency SLOs; model performance drift detection; cost tracking\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 + JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless; scales horizontally; per-model access control\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI or GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Model registry integration; automated inference validation before deploy\"\n    }\n  ],\n  \"main_risk\": \"Model inference latency tail increases under 100k concurrent load if batching and caching strategies are not tuned per model; requires continuous profiling.\",\n  \"first_component_to_replace_at_scale\": \"TensorFlow Serving → Triton Inference Server for multi-framework support and lower-latency batching\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16466,"probe_id":6049,"sample":1,"system":"ml_inference","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven\",\n  \"components\": [\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Cloud\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global infrastructure with auto-scaling for 10M MAU\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"API Gateway\",\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Manages 100k concurrent connections, rate limiting, and auth\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Amazon Cognito\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"User identity and token validation for API access\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python 3\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Ecosystem for ML, async request handling\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI Contributors\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async web framework for high-throughput API backend\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon Aurora PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores model metadata, versions, job states with ACID\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Object Storage\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Versioned model artifacts and input/output batch data\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caches frequent inference results to cut latency\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message Queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Decouples batch inference requests from processing workers\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Runs inference pods, batch workers, and auto-scales GPU nodes\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"NVIDIA Triton Inference Server\",\n      \"service\": null,\n      \"provider\": \"NVIDIA\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput GPU serving with native model versioning\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"AWS Batch\",\n      \"service\": \"AWS Batch\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed batch compute for offline inference jobs\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus & Grafana\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitors inference latency, errors, and system health\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated pipelines for model deployment and API updates\"\n    }\n  ],\n  \"main_risk\": \"GPU inference cost under 100k concurrent users could overrun budget without spot instances and strict scaling limits.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"DeepSeek"},{"response_id":16398,"probe_id":6049,"sample":1,"system":"ml_inference","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Offers the richest ecosystem for machine learning and inference model integration.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides high-performance asynchronous request handling necessary for concurrent inference loads.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"NVIDIA Triton Inference Server\",\n      \"service\": null,\n      \"provider\": \"NVIDIA\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standardized multi-model serving with dynamic batching and efficient GPU utilization.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for user profiles, model metadata, and versioning state.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Confluent Cloud\",\n      \"provider\": \"Confluent\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles massive asynchronous batch processing tasks and event streaming at scale.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for large model binaries and massive inference datasets.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Essential for scaling inference nodes and managing containerized workloads effectively.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Provides deep visibility into inference latency and system resource saturation.\"\n    }\n  ],\n  \"main_risk\": \"High inference latency under massive concurrency could degrade user experience if GPU resource allocation fails.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Gemini (lite)"},{"response_id":16406,"probe_id":6049,"sample":1,"system":"ml_inference","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"ML serving with versioned inference\",\n  \"components\": [\n    {\"role\": \"backend_language\", \"technology\": \"Python\", \"service\": null, \"provider\": \"Python Software Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Rich ML ecosystem and performance.\"},\n    {\"role\": \"backend_framework\", \"technology\": \"FastAPI\", \"service\": null, \"provider\": \"Sebastián Ramírez\", \"delivery\": \"self_hosted\", \"reason\": \"High-performance async API with OpenAPI support.\"},\n    {\"role\": \"api\", \"technology\": null, \"service\": \"API Gateway\", \"provider\": \"Kong Inc\", \"delivery\": \"saas\", \"reason\": \"Scalable request routing and throttling.\"},\n    {\"role\": \"primary_database\", \"technology\": \"PostgreSQL\", \"service\": \"Aurora PostgreSQL\", \"provider\": \"Amazon Web Services\", \"delivery\": \"managed\", \"reason\": \"High throughput, JSONB, and strong consistency.\"},\n    {\"role\": \"secondary_database\", \"technology\": \"Redis\", \"service\": \"ElastiCache\", \"provider\": \"Amazon Web Services\", \"delivery\": \"managed\", \"reason\": \"Sub-millisecond access and pub/sub.\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": \"ElastiCache\", \"provider\": \"Amazon Web Services\", \"delivery\": \"managed\", \"reason\": \"Low-latency caching for high concurrency.\"},\n    {\"role\": \"queue\", \"technology\": \"RabbitMQ\", \"service\": null, \"provider\": \"Rabbit Technologies Ltd\", \"delivery\": \"self_hosted\", \"reason\": \"Durable message queue with strong ordering.\"},\n    {\"role\": \"object_storage\", \"technology\": null, \"service\": \"S3\", \"provider\": \"Amazon Web Services\", \"delivery\": \"saas\", \"reason\": \"Scalable, durable model artifact storage.\"},\n    {\"role\": \"ml_inference\", \"technology\": \"TorchServe\", \"service\": null, \"provider\": \"PyTorch Foundation\", \"delivery\": \"self_hosted\", \"reason\": \"Production-grade model serving with versioning.\"},\n    {\"role\": \"hosting\", \"technology\": null, \"service\": \"EC2\", \"provider\": \"Amazon Web Services\", \"delivery\": \"managed\", \"reason\": \"Full control over compute and networking.\"},\n    {\"role\": \"orchestration\", \"technology\": \"Kubernetes\", \"service\": \"EKS\", \"provider\": \"Amazon Web Services\", \"delivery\": \"managed\", \"reason\": \"Cloud-native workload orchestration.\"},\n    {\"role\": \"observability\", \"technology\": null, \"service\": \"Datadog\", \"provider\": \"Datadog Inc\", \"delivery\": \"saas\", \"reason\": \"Unified metrics, logs, and traces.\"},\n    {\"role\": \"ci_cd\", \"technology\": null, \"service\": \"GitHub Actions\", \"provider\": \"GitHub Inc\", \"delivery\": \"saas\", \"reason\": \"Automated builds, tests, and deploys.\"}\n  ],\n  \"main_risk\": \"Latency spikes from cold-start model inference at high concurrency.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16402,"probe_id":6049,"sample":1,"system":"ml_inference","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"microservices-kubernetes\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, compiled binaries for API layer.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin (Go)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, performant HTTP/gRPC routing for Go services.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC (HTTP/2)\",\n      \"service\": \"Envoy + Google Cloud Load Balancing on GKE\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency RPCs and robust ingress at scale.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine (GKE)\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Autoscaling, GPU node pools, Kubernetes ecosystem support.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE (Autopilot / node pools)\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed control plane and node autoscaling for reliability.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL for PostgreSQL\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID metadata, familiar SQL, replicas for read scaling.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Cloud Memorystore (Redis)\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency result and session caching for high throughput.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Pub/Sub messaging\",\n      \"service\": \"Google Cloud Pub/Sub\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Massively scalable asynchronous tasks and batch processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Google Cloud Storage\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store model artifacts, large batch inputs and outputs.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"NVIDIA Triton Inference Server\",\n      \"service\": \"GKE GPU node pool running Triton containers\",\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Multi-framework GPU inference with model versioning and batching.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"BigQuery\",\n      \"service\": \"BigQuery\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scalable batch analytics, model evaluation, and feature analysis.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus / OpenTelemetry\",\n      \"service\": \"Google Cloud Managed Service for Prometheus and Cloud Monitoring\",\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Metrics, traces and alerting integrated with GKE and services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Pipeline automation, container build and deployment workflows.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect (OAuth2)\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable token issuance, federation, and user management.\"\n    }\n  ],\n  \"main_risk\": \"Autoscaling GPU capacity and Triton tuning may cause increased latency and high cost under peak concurrent inference.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16417,"probe_id":6049,"sample":1,"system":"ml_inference","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"managed ml api\",\n  \"components\": [{\n    \"role\": \"api\",\n    \"technology\": \"http\",\n    \"service\": \"API Gateway\",\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"scales to 100k concurrent with throttling\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"sagemaker\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"native model versions and batch transforms\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"sqs\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"buffers batch jobs at high volume\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"s3\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"stores versioned model artifacts\"\n  }, {\n    \"role\": \"cache\",\n    \"technology\": \"elasticache\",\n    \"service\": null,\n    \"provider\": \"aws\",\n    \"delivery\": \"managed\",\n    \"reason\": \"memoizes frequent inference results\"\n  }],\n  \"main_risk\": \"SageMaker inference costs spike under sustained 100k concurrency.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"Grok"},{"response_id":16431,"probe_id":6050,"sample":1,"system":"ml_inference","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"serverless ML inference API with async batch processing\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, versioned inference requests require explicit HTTP contract\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard ML ecosystem; enables model serving and batch processing\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async-native, low overhead, excellent for I/O-bound inference APIs\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"TensorFlow Serving\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native model versioning; decouples model updates from application code\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Crunchy Bridge\",\n      \"provider\": \"Crunchy Data\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted managed PostgreSQL; ACID compliance for metadata and audit logs\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Apache Kafka\",\n      \"service\": \"Upstash Kafka\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU region; durable batch job queueing; preserves inference history\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Upstash Redis\",\n      \"provider\": \"Upstash\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted; caches repeated inference requests and model metadata\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"Backblaze B2\",\n      \"provider\": \"Backblaze\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU data residency option; stores models, batch inputs, and outputs\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted; no vendor lock-in; supports model version access control\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU infrastructure; managed K8s; cost-effective for stateless inference workloads\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native workload orchestration; batch job scheduling; horizontal scaling\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU endpoint available; monitors API latency, inference accuracy, batch throughput\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab.com\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU servers available; native container registry; model version promotion\"\n    }\n  ],\n  \"main_risk\": \"Model inference latency degradation under concurrent batch and sync request load without proper queue priority separation and replica scaling policy.\",\n  \"first_component_to_replace_at_scale\": \"TensorFlow Serving—replace with KServe for multi-framework, auto-scaling inference if model diversity increases\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16524,"probe_id":6050,"sample":1,"system":"ml_inference","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"API-driven ML inference with batch queues\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ML ecosystem; rich libraries for inference and API.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Async Python framework for high-performance API with auto docs.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Triton Inference Server\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Handles model versioning, dynamic batching, multi-framework support.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Decouples batch job submission from processing, EU-hosted.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based managed PostgreSQL for user, job, and model metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted cache for API responses and rate limiting.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU-based S3-compatible storage for models and batch data.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Scaleway\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU cloud provider meeting data residency requirements.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes in EU for API, workers, Triton, RabbitMQ.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted monitoring stack ensuring logs and metrics remain in EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"SaaS orchestration with self-hosted EU runners for execution.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-hosted OAuth2 provider for API access management.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"MLflow\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Model registry tracking experiments and version stage transitions.\"\n    }\n  ],\n  \"main_risk\": \"GPU instance availability in EU region may limit scaling during heavy inference loads.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"DeepSeek"},{"response_id":16434,"probe_id":6050,"sample":1,"system":"ml_inference","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard ecosystem for machine learning and inference libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, native asynchronous support, and automatic OpenAPI documentation.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Nginx\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust reverse proxy for traffic routing and SSL termination.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for metadata, model versioning, and user data within EU regions.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency message queuing for asynchronous batch inference tasks.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for large machine learning model artifacts in EU-West regions.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"PyTorch\",\n      \"service\": \"Vertex AI\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Native support for model deployments and scalable batch inference workloads.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"GKE\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Orchestrates containerized services and scaling across nodes in European zones.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for monitoring metrics and container performance.\"\n    }\n  ],\n  \"main_risk\": \"Latency spikes during model cold-starts in batch processing cycles.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"Gemini (lite)"},{"response_id":16443,"probe_id":6050,"sample":1,"system":"ml_inference","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"serverless microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Strong ML ecosystem and type hints for robustness.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez (community)\",\n      \"delivery\": \"client\",\n      \"reason\": \"High performance async API framework with OpenAPI support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"Amazon API Gateway\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fully managed, scalable, and EU region support.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora PostgreSQL\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational integrity and EU compliance in Frankfurt region.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"ElastiCache for Redis\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching with encryption at rest in EU.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": null,\n      \"service\": \"SQS\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless messaging for batch job fan-out within EU.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"S3\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Durable object storage; EU regions comply with GDPR.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Python\",\n      \"service\": \"SageMaker Endpoints\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless deployment with Canary rollouts in EU region.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Lambda\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Auto-scales inference API; no infrastructure management.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Cognito\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed OIDC with EU data residency for identity.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Step Functions\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Serverless workflow for batch pipeline orchestration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"CloudWatch & X-Ray\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Built-in logs, metrics, tracing with EU region coverage.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"CodePipeline & CodeBuild\",\n      \"provider\": \"Amazon Web Services\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed build and deploy pipelines within EU.\"\n    }\n  ],\n  \"main_risk\": \"Vendor lock-in to AWS’s EU infrastructure for critical ML workloads.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16452,"probe_id":6050,"sample":1,"system":"ml_inference","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Broad ML ecosystem and library support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async API framework with OpenAPI support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"OpenAPI (HTTP/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Interoperable, well-supported contract for external and internal clients.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"NVIDIA Triton Inference Server\",\n      \"service\": null,\n      \"provider\": \"NVIDIA\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Multi-framework GPU inference server with model versioning support.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"MLflow\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Model registry and experiment tracking for versioned deployments.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Postgres with EU residency and high availability.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"OVHcloud Object Storage (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted, S3-compatible storage for models and personal data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": \"Aiven for RabbitMQ\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable task queue for batch job orchestration with EU hosting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and job state storage, managed in EU.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"OVHcloud Managed Kubernetes\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration with EU regions and GPU node options.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VMs / Kubernetes nodes\",\n      \"service\": \"OVHcloud Public Cloud (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-first cloud provider for data residency and GPU availability.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak (OpenID Connect)\",\n      \"service\": null,\n      \"provider\": \"Keycloak\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted OIDC provider ensuring EU data control and SSO.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source metrics and dashboards deployed within EU cluster.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab (self-managed)\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pipeline runner self-hosting keeps code and artifacts within EU.\"\n    }\n  ],\n  \"main_risk\": \"GPU capacity and node autoscaling limits in the chosen EU cloud causing inference throughput bottlenecks under peak load.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16453,"probe_id":6050,"sample":1,"system":"ml_inference","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"eu-hosted ml inference api\",\n  \"components\": [{\n    \"role\": \"backend_framework\",\n    \"technology\": \"FastAPI\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"handles versioning and API routes\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"Triton Inference Server\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"supports model versions and batch jobs\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"RabbitMQ\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"manages batch processing workloads\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"MinIO\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores models in EU\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"Kubernetes\",\n    \"service\": null,\n    \"provider\": \"OVHcloud\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU data residency compliance\"\n  }, {\n    \"role\": \"observability\",\n    \"technology\": \"Prometheus\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"monitors inference latency\"\n  }],\n  \"main_risk\": \"Self-hosted ML stack may lag behind managed GPU offerings.\",\n  \"first_component_to_replace_at_scale\": \"ml_inference\"\n}","model_label":"Grok"},{"response_id":16465,"probe_id":6051,"sample":1,"system":"ml_inference","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"ML inference API with versioned models and async batch processing\",\n  \"components\": [\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": \"FastAPI\",\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, async-native, production-ready Python framework for inference APIs\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"De facto standard for ML inference and model serving ecosystem\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"ONNX Runtime\",\n      \"service\": null,\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open standard for model execution; supports multiple frameworks and hardware\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable ACID store for model metadata, versions, inference request logs\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust message broker for async batch job processing and routing\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage for model artifacts and versioning\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-speed caching for recent inference results and request deduplication\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling inference workers and batch jobs\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF + Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection and visualization for inference latency and throughput\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Integrated CI/CD for model retraining pipelines and API deployment\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open identity provider for API request authentication and authorization\"\n    }\n  ],\n  \"main_risk\": \"Model inference latency becomes unacceptable under sustained batch load if queue processing and worker autoscaling are not tuned for peak traffic patterns.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ should be replaced with Apache Kafka for higher throughput and replayability at multi-million message scale\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16542,"probe_id":6051,"sample":1,"system":"ml_inference","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"event-driven microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Dominant ML ecosystem, async capable, large library support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI Community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Async Python, OpenAPI docs, lightweight API construction, integrates Celery.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"NGINX\",\n      \"service\": null,\n      \"provider\": \"F5 / NGINX Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reverse proxy, TLS termination, load balancing for FastAPI workers.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Triton Inference Server\",\n      \"service\": null,\n      \"provider\": \"NVIDIA\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source, multi-framework, dynamic batching, model versioning via repository.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, self-hosted model artifact store, Triton can load from bucket.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware / Pivotal\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable message broker for async batch job processing via Celery.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Relational store for model metadata, batch job states, user data.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Caching hot predictions, rate limiting, Celery message broker plan B.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scaling inference, workers, and services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF / Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics collection, dashboards, and alerting for all components.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab Community Edition\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source CI/CD pipelines, self-hosted runners for container builds.\"\n    }\n  ],\n  \"main_risk\": \"Self-hosted Triton and RabbitMQ require manual scaling and maintenance; bursty batch loads could overwhelm resources.\",\n  \"first_component_to_replace_at_scale\": \"object_storage\"\n}","model_label":"DeepSeek"},{"response_id":16471,"probe_id":6051,"sample":1,"system":"ml_inference","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Event-driven Microservices\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard ecosystem for ML inference and data processing libraries.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High performance, native asynchronous support, and automatic OpenAPI documentation.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable transactional storage for model metadata and user data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Mozilla Public License\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust message broker for managing asynchronous batch inference jobs.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible storage essential for managing versioned model artifacts.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"KServe\",\n      \"service\": null,\n      \"provider\": \"Linux Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides standardized model serving patterns, versioning, and auto-scaling on Kubernetes.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable infrastructure for managing containerized API and model inference workloads.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for monitoring metrics and alerting for distributed service health.\"\n    }\n  ],\n  \"main_risk\": \"Managing self-hosted Kubernetes and storage persistence at high scale requires significant operational overhead and expertise.\",\n  \"first_component_to_replace_at_scale\": \"RabbitMQ\"\n}","model_label":"Gemini (lite)"},{"response_id":16478,"probe_id":6051,"sample":1,"system":"ml_inference","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"ML-driven event bus\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ML language with rich inference libraries\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"Sebastián Ramírez\",\n      \"delivery\": \"client\",\n      \"reason\": \"High-performance async API framework minimal overhead\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Predictable interface for clients and model serving\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Robust ACID transactions and JSON support\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency cache and rate-limiting store\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"VMware\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Durable message broker with robust routing\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"S3-compatible, lightweight self-hosted storage\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Scalable container orchestration platform\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"ONNX Runtime\",\n      \"service\": null,\n      \"provider\": \"LF AI & Data Foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast cross-platform inference via optimized runtime\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"Cloud Native Computing Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Powerful metrics collection and alerting\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Grafana\",\n      \"service\": null,\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich visualization for operational and ML metrics\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed workflows integrated with open-source repos\"\n    }\n  ],\n  \"main_risk\": \"Model serving latency spikes due to queue backpressure under burst load.\",\n  \"first_component_to_replace_at_scale\": \"queue (RabbitMQ)\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16476,"probe_id":6051,"sample":1,"system":"ml_inference","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"kubernetes-microservice\",\n  \"components\": [\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Python\",\n      \"service\": null,\n      \"provider\": \"Python Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Primary language for ML tooling and ecosystem compatibility.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"FastAPI\",\n      \"service\": null,\n      \"provider\": \"FastAPI community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance async HTTP framework with OpenAPI support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency, strongly-typed RPCs suitable for inference.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID metadata store for models, versions, and job state.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores model binaries and batch inputs/outputs with S3 API.\"\n    },\n    {\n      \"role\": \"ml_inference\",\n      \"technology\": \"Triton Inference Server\",\n      \"service\": null,\n      \"provider\": \"NVIDIA\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native model versioning, dynamic batching, multi-framework support.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"RabbitMQ community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable task queue for dispatching and batching jobs.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Low-latency result caching and feature lookups.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration, autoscaling, and rollout management.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VMs / bare metal\",\n      \"service\": null,\n      \"provider\": \"self-managed\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted infrastructure for compliance and control.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics scraping and alerting for system health and SLAs.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": \"Keycloak community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"OIDC/OAuth2 identity, API auth, and RBAC management.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"Tekton\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Kubernetes-native pipelines for reproducible CI/CD.\"\n    }\n  ],\n  \"main_risk\": \"Resource contention and model drift during large batch jobs can spike latency and degrade inference quality.\",\n  \"first_component_to_replace_at_scale\": \"queue\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16492,"probe_id":6051,"sample":1,"system":"ml_inference","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nAn API serving machine-learning inference with model versions and batch processing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"event-driven-ml-api\",\n  \"components\": [{\n    \"role\": \"backend_language\",\n    \"technology\": \"python\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"strong ML library support\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"fastapi\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async API with versioning\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"ACID model version metadata\"\n  }, {\n    \"role\": \"queue\",\n    \"technology\": \"rabbitmq\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"reliable batch job queuing\"\n  }, {\n    \"role\": \"object_storage\",\n    \"technology\": \"minio\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-hosted model artifact store\"\n  }, {\n    \"role\": \"ml_inference\",\n    \"technology\": \"torchserve\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"open source model serving\"\n  }, {\n    \"role\": \"orchestration\",\n    \"technology\": \"kubernetes\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"self-managed scaling and jobs\"\n  }],\n  \"main_risk\": \"Manual Kubernetes ops increase failure modes under load spikes.\",\n  \"first_component_to_replace_at_scale\": \"rabbitmq\"\n}","model_label":"Grok"},{"response_id":16502,"probe_id":6052,"sample":1,"system":"local_first","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Local-first sync with edge-friendly backend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich client state management for offline editing and local-first design\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase with web frontend, native performance for sync\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety for sync logic and shared schema between client and server\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js with Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Event-driven architecture suits real-time sync and conflict resolution\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with CRDT sync endpoint\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless sync protocol compatible with offline-first CRDTs\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL with JSONB\",\n      \"service\": \"Amazon RDS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durability for sync state, JSONB for flexible document schema\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Live sync updates across devices with minimal latency\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT with refresh tokens\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless auth compatible with offline clients and multiple devices\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Scale sync servers independently from stateless API tier\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and ELK\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitor sync lag and conflict resolution performance\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with repository, simple deployment pipeline\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution complexity grows with concurrent offline edits across devices; CRDT implementation bugs cause data corruption.\",\n  \"first_component_to_replace_at_scale\": \"WebSocket layer should migrate to managed service like AWS AppSync or dedicated sync service at 100k+ concurrent users\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16571,"probe_id":6052,"sample":1,"system":"local_first","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"local-first with realtime sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Rich web notes UI with CRDT-based offline editing via Yjs\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app reusing Yjs sync logic\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared language for sync server and REST API\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight REST endpoints for auth and sharing management\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores user accounts, sharing metadata, document pointers\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session store and API rate limiting with low latency\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Stores note attachments like images and exports\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket + Yjs y-websocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Broadcast CRDT updates for live multi-device sync\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles social login, MFA, user directories\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS Fargate\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless container compute scales backend on demand\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"AWS ECS\",\n      \"service\": \"Amazon ECS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Manages container fleet with service discovery\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics and dashboards for sync server performance and errors\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automates build, test, deploy on push\"\n    }\n  ],\n  \"main_risk\": \"Offline conflict resolution may cause data divergence and user-perceived inconsistency.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16506,"probe_id":6052,"sample":1,"system":"local_first","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Local-first CRDT-based sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Mature ecosystem for complex state management and cross-platform UI.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Provides robust local persistence and offline capabilities for local-first apps.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified language across client and server simplifies full-stack data model sharing.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT implementation handles conflict-free multi-device synchronization and offline merging.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies multi-device session handling and secure user identity management.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, zero-egress storage for user-uploaded media assets.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Optimized global edge delivery for frontend assets and serverless functions.\"\n    }\n  ],\n  \"main_risk\": \"Managing Yjs document state persistence and conflict resolution consistency at high concurrent volumes.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16516,"probe_id":6052,"sample":1,"system":"local_first","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"offline-first sync architecture\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted for cross-platform local-first UIs.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Leverages existing React codebase for multi-platform support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Rust\",\n      \"service\": null,\n      \"provider\": \"Mozilla\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Performance and safety for sync/conflict resolution.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Axum\",\n      \"service\": null,\n      \"provider\": \"Tokio-rs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal runtime overhead for high concurrent sync.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": null,\n      \"service\": \"REST\",\n      \"provider\": null,\n      \"delivery\": \"http\",\n      \"reason\": \"Simple, cache-friendly protocol for sync endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for conflict-free replicated data types.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": \"LibSQL\",\n      \"provider\": \"Turso\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Local-first persistence with CRDT-friendly sync layer.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Fast session store and rate limiting backend.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"s3\",\n      \"reason\": \"Durable, cheap storage for note attachments.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"http\",\n      \"reason\": \"Efficient delta sync and presence updates.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0\",\n      \"service\": \"Firebase Auth\",\n      \"provider\": \"Google\",\n      \"delivery\": \"sas\",\n      \"reason\": \"Scalable identity with minimal backend integration.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Cloud Run\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Auto-scaling, low-cost for sporadic sync workloads.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": \"Cloud Workflows\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simplified serverless sync pipeline orchestration.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Cloud Logging\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metric, trace, and log collection.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated, fast, and free for public repos.\"\n    }\n  ],\n  \"main_risk\": \"Eventual consistency bugs during concurrent writes from multiple devices.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16507,"probe_id":6052,"sample":1,"system":"local_first","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"local-first (CRDT)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Web-first UI with wide library ecosystem and offline IndexedDB support.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-codebase mobile apps sharing CRDT logic with web code.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"IndexedDB (web) / SQLite (mobile)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Durable local storage for offline edits and local-first state.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Strong typing and ecosystem for web, realtime, and build tooling.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify (Node.js)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-performance HTTP server with plugin ecosystem and TypeScript support.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST + OpenAPI (HTTP/JSON)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple, cacheable endpoints for non-realtime operations and metadata.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs (CRDT) over WebSocket\",\n      \"service\": \"y-websocket (reference server)\",\n      \"provider\": \"open-source\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT-based sync enabling offline edits, automatic merges, and real-time collaboration.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable relational storage, full-text search, and reliable backups.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache (Redis)\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching for sessions, presence, and derived CRDT checkpoints.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"message queue\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable background processing for notifications and async persistence.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3 (object storage)\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for attachments, thumbnails, and exported notes.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth 2.0\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed secure authentication, social logins, and token lifecycle.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"Amazon Web Services\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Global cloud with integrated managed services and compliance options.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"AWS Fargate (ECS)\",\n      \"service\": \"AWS Fargate\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers simplify deployment and scale for Node.js services.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"observability platform\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified metrics, logs, and traces for production debugging.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Integrated CI/CD with repository triggers and deployment workflows.\"\n    }\n  ],\n  \"main_risk\": \"The self-hosted Yjs/WebSocket sync layer can become a scaling and persistence bottleneck under heavy concurrent edits.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16529,"probe_id":6052,"sample":1,"system":"local_first","variant":"neutral","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Make reasonable production assumptions where requirements are unspecified.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"local-first sync\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"Flutter\",\n    \"service\": null,\n    \"provider\": \"Google\",\n    \"delivery\": \"client\",\n    \"reason\": \"cross-platform offline-first app\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"SQLite\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"embedded local offline storage\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"Go\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"fast reliable sync server\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"WebSocket\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"live multi-device sync\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"JWT\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stateless device authentication\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": null,\n    \"service\": \"EC2\",\n    \"provider\": \"AWS\",\n    \"delivery\": \"managed\",\n    \"reason\": \"simple VM hosting for backend\"\n  }],\n  \"main_risk\": \"Sync conflicts during concurrent offline edits may cause data loss.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16540,"probe_id":6053,"sample":1,"system":"local_first","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"local-first sync with edge replication\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Rich UI for notes, local state management via IndexedDB\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase with frontend, native offline support\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type safety, code reuse with frontend, minimal cognitive load\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Node.js with Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight sync server, minimal resource overhead\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with CRDT sync\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Simple conflict-free merging for offline-first notes\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Reliable ACID semantics for sync state and sharing metadata\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket with Socket.io\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Push sync updates between devices with fallback polling\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless, minimal infrastructure; simple device pairing\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Render or Railway free tier\",\n      \"provider\": \"Render or Railway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Free tier supports Node backend and PostgreSQL within budget\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free for public repos, integrated with GitHub, no setup cost\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry free tier\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Captures errors in production without operational burden\"\n    }\n  ],\n  \"main_risk\": \"Two engineers cannot support production incidents during off-hours; implement comprehensive local-first fallbacks and automated recovery.\",\n  \"first_component_to_replace_at_scale\": \"hosting\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16629,"probe_id":6053,"sample":1,"system":"local_first","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"local-first CRDT sync with centralized lightweight backend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"PWA with offline service worker and IndexedDB storage.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Yjs\",\n      \"service\": null,\n      \"provider\": \"Yjs Team\",\n      \"delivery\": \"client\",\n      \"reason\": \"CRDT library for conflict-free offline editing and multi-device sync.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"PocketBase\",\n      \"service\": \"PocketBase\",\n      \"provider\": \"PocketBase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"All-in-one backend with auth, DB, realtime, file storage, and admin UI.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST & SSE\",\n      \"service\": \"PocketBase\",\n      \"provider\": \"PocketBase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Auto-generated REST endpoints and realtime Server-Sent Events.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"PocketBase Auth\",\n      \"service\": \"PocketBase\",\n      \"provider\": \"PocketBase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in email/password and OAuth2 with record-level access control.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Embedded in PocketBase, supports full-text search (FTS5), zero cost.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Server-Sent Events\",\n      \"service\": \"PocketBase\",\n      \"provider\": \"PocketBase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Pushes note changes to connected clients for live sync.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Local File Storage\",\n      \"service\": \"PocketBase\",\n      \"provider\": \"PocketBase\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores file attachments on VPS disk, no extra service cost.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux\",\n      \"service\": \"DigitalOcean Droplet\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"$6/month VM (1 vCPU, 1 GB RAM, 25 GB SSD) hosts PocketBase and static frontend.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free CI/CD to test, build PWA, and deploy to VPS.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Sentry\",\n      \"service\": null,\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free tier error tracking and performance monitoring for frontend.\"\n    }\n  ],\n  \"main_risk\": \"Single PocketBase VPS is a single point of failure; data loss possible without automated offsite backups.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"DeepSeek"},{"response_id":16543,"probe_id":6053,"sample":1,"system":"local_first","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Local-first CRDT-based event synchronization\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Large ecosystem and excellent support for local-first libraries like Yjs.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Persistent local storage enables offline-first capabilities with minimal latency.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Allows sharing validation logic between client and server.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Necessary for low-latency state synchronization with CRDTs.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Clerk\",\n      \"provider\": \"Clerk\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces authentication implementation time for a two-person team.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Container\",\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Easiest deployment for globally distributed low-latency WebSocket connections within budget.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"No egress fees keep costs predictable for media-heavy notes.\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution overhead and synchronization state growth could degrade performance as sync history increases.\",\n  \"first_component_to_replace_at_scale\": \"backend_language\"\n}","model_label":"Gemini (lite)"},{"response_id":16552,"probe_id":6053,"sample":1,"system":"local_first","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"offline-first serverless sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Browser/WebKit/Android/iOS\",\n      \"delivery\": \"client\",\n      \"reason\": \"Runs everywhere; sync logic co-located with UI.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": null,\n      \"service\": \"Capacitor\",\n      \"provider\": \"Capacitor\",\n      \"delivery\": \"client\",\n      \"reason\": \"Wraps web code to native apps offline-capable.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"JavaScript\",\n      \"service\": null,\n      \"provider\": \"Node.js\",\n      \"delivery\": \"serverless\",\n      \"reason\": \"Cheapest runtime; good for small team codebase.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"serverless\",\n      \"reason\": \"Minimal overhead; fits within serverless limits.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"serverless\",\n      \"reason\": \"Simple versioning and caching for offline queuing.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Local-first persistence; zero server cost.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Neon Serverless\",\n      \"provider\": \"Neon\",\n      \"delivery\": \"serverless\",\n      \"reason\": \"Cheapest managed Postgres; scales down to $0.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Upstash Redis\",\n      \"delivery\": \"saas\",\n      \"reason\": \"$5/mo plan; atomic sync primitives cheap.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"Blob\",\n      \"service\": \"Cloudflare R2\",\n      \"provider\": \"Cloudflare\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free egress; $0 storage first 10 GB.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Handles reconnects in <$20/mo small tier.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": null,\n      \"service\": \"Supabase Auth\",\n      \"provider\": \"Supabase\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Parses JWT first; $0 until 50 K MAU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": \"Fly.io\",\n      \"delivery\": \"managed\",\n      \"reason\": \"$5/mo global tiny VM; fast worldwide.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"none\",\n      \"reason\": \"Serverless removes need for k8s.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Sentry\",\n      \"provider\": \"Sentry\",\n      \"delivery\": \"saas\",\n      \"reason\": \"$26/mo total; tracks frontend & backend.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free minutes; spins up Fly.io deploys.\"\n    }\n  ],\n  \"main_risk\": \"Neon R2 sudden $ increase once out of free tier.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16546,"probe_id":6053,"sample":1,"system":"local_first","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"local-first sync with CouchDB\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Fast web UI with mature PouchDB integrations for offline storage.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase and pouchdb-react-native support for local-first sync.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Node.js\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight glue for sharing orchestration and authentication workflows.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal HTTP endpoints for invites, share management, and admin tasks.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP/REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Matches CouchDB/PouchDB replication and keeps client-server interactions simple.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Apache CouchDB\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in replication and attachments enable offline edits and multi-device sync.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"CouchDB replication protocol\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Incremental push/pull replication provides efficient multi-device synchronization.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"CouchDB session/JWT\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in users and sessions avoid external auth provider costs.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux VPS\",\n      \"service\": \"DigitalOcean Droplet (basic)\",\n      \"provider\": \"DigitalOcean\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Single small droplet keeps monthly infrastructure costs very low.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Free/low-cost CI for small teams and automated deployments.\"\n    }\n  ],\n  \"main_risk\": \"Single self-hosted CouchDB instance creates an operational availability and scaling bottleneck.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16555,"probe_id":6053,"sample":1,"system":"local_first","variant":"budget","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The team has two engineers and infrastructure must remain below US $200 per month during the first year.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"local-first sync\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"react\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"PWA with local IndexedDB for offline edits\"\n  }, {\n    \"role\": \"mobile\",\n    \"technology\": \"react-native\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"iOS/Android clients sharing same sync logic\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"managed\",\n    \"reason\": \"cheap hosted Postgres with row-level sharing\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": null,\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"saas\",\n    \"reason\": \"built-in realtime channels for device sync\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": null,\n    \"service\": \"supabase\",\n    \"provider\": \"supabase\",\n    \"delivery\": \"saas\",\n    \"reason\": \"JWT auth integrated with row policies\"\n  }],\n  \"main_risk\": \"CRDT merge conflicts and sync edge cases may overwhelm two engineers.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16578,"probe_id":6054,"sample":1,"system":"local_first","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"Local-first sync with edge presence\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich offline UX, strong ecosystem for local state management\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web, native performance, offline-first libraries available\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient concurrency for 100k sync connections, low resource footprint\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional streaming for efficient incremental sync, protobuf serialization\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC-Web\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Browser compatibility for gRPC, low overhead for sync operations\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"AWS RDS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID guarantees for conflict resolution, proven at scale, JSONB for flexible schema\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Local storage on mobile and web, enables true offline-first editing\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"AWS ElastiCache\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session state and conflict resolution metadata, sub-millisecond latency\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Bidirectional push for live collaboration awareness and presence\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Multi-device sync requires secure session federation across clients\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"AWS S3\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Attachment and note export versioning, highly durable and available\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Horizontal scaling for sync backend, auto-recovery for stateless workers\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Declarative workload management, rolling updates without sync disruption\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus and Jaeger\",\n      \"service\": \"AWS Managed Prometheus and X-Ray\",\n      \"provider\": \"Amazon\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Sync latency tracking and distributed trace causality for debugging conflicts\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native integration with source control, sufficient for this deployment model\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": \"ClickHouse Cloud\",\n      \"provider\": \"ClickHouse\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Real-time sync event analysis, user engagement patterns at scale\"\n    }\n  ],\n  \"main_risk\": \"Distributed sync under high concurrency may create undetected conflict anomalies if CRDTs and vector clocks are not rigorously implemented.\",\n  \"first_component_to_replace_at_scale\": \"Redis cache—persistent conflict resolution state should migrate to PostgreSQL materialized views as event volume exceeds 100k events/sec\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16643,"probe_id":6054,"sample":1,"system":"local_first","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"Local-first (CRDT)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Global CDN hosting for fast SPA delivery.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform code sharing with web, local-first support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared language reduces context switching.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight, mature Node.js framework for REST API.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST over HTTP\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Manages user profiles, notes metadata, sharing permissions.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Amazon RDS for PostgreSQL\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"ACID transactions for user data and sharing state.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Elasticsearch\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search across notes at scale.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Session caching, rate limiting, pub/sub for scaling.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Amazon SQS\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Async indexing and notification tasks decoupling.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"CRDT (Yjs)\",\n      \"service\": \"Y-Sweet\",\n      \"provider\": \"Jamsocket\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Managed sync server for offline-first collaborative notes.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure login, social identity, token management for 10M MAU.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"AWS\",\n      \"service\": \"AWS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable infrastructure with global regions.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker\",\n      \"service\": \"Amazon ECS (Fargate)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Serverless containers auto-scale API and workers.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Datadog\",\n      \"service\": \"Datadog\",\n      \"provider\": \"Datadog\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified monitoring, logging, APM for all components.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Automated build, test, deploy for web, mobile, backend.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"PostHog\",\n      \"service\": \"PostHog Cloud\",\n      \"provider\": \"PostHog, Inc.\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Product analytics with session replay, feature flags.\"\n    }\n  ],\n  \"main_risk\": \"Over-reliance on a single managed CRDT service (Y-Sweet) may lead to bottleneck or cost issues at 100k concurrent sync connections.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16579,"probe_id":6054,"sample":1,"system":"local_first","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Local-first CRDTs with sync gateway\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem and robust support for local-first state management libraries.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Exceptional concurrency performance for managing 100k simultaneous WebSocket connections.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aurora\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Proven reliability and transactional integrity for relational metadata.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSockets\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Required for instantaneous document synchronization across distributed clients.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Cost-effective, highly scalable storage for binary assets and large document blobs.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth2\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Reduces operational burden for secure, multi-factor identity management.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Simplifies horizontal scaling for high-concurrency connection handling.\"\n    }\n  ],\n  \"main_risk\": \"Conflict resolution latency in CRDTs could degrade user experience during high-concurrency edit scenarios.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16586,"probe_id":6054,"sample":1,"system":"local_first","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"offline-first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Widely adopted, strong offline capabilities via service workers.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"Swift/Kotlin\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Native apps provide best offline experience and sync reliability.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency, low latency, minimal runtime overhead for sync.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight framework well-suited for sync-heavy workloads.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Strong consistency, ACID, mature sync and conflict handling.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"client\",\n      \"reason\": \"Local-first persistence with minimal sync complexity.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Memorystore\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Sub-millisecond sync state caching and session management.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High-throughput, low-latency sync event streaming.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Ably\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Realtime sync with pub/sub for multi-device coordination.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"JWT\",\n      \"service\": \"Auth0\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Secure, scalable user identity and access management.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": null,\n      \"service\": \"Backblaze B2\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Cost-efficient, durable binary storage for media assets.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Fly.io\",\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Global edge network for low-latency multi-region sync.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"OpenTelemetry\",\n      \"service\": \"Datadog\",\n      \"provider\": null,\n      \"delivery\": \"saas\",\n      \"reason\": \"Unified tracing and monitoring for multi-device sync troubleshooting.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"ClickHouse\",\n      \"service\": null,\n      \"provider\": \"foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, scalable analytics on large sync event datasets.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity in managing sync conflicts at scale across multi-device environments.\",\n  \"first_component_to_replace_at_scale\": \"secondary_database\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16591,"probe_id":6054,"sample":1,"system":"local_first","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"Local-first CRDT sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": \"Vercel\",\n      \"provider\": \"Vercel\",\n      \"delivery\": \"client\",\n      \"reason\": \"Fast static builds, edge CDN, easy Git integration.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single cross-platform codebase with CRDT bindings and offline storage.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"High concurrency and low-latency sync server performance.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary APIs for inter-service and client-server sync.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST + WebSocket (JSON/Protobuf)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for durable ops; WebSocket for low-latency CRDT updates.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Wide-column / key-value store (Dynamo-style)\",\n      \"service\": \"Amazon DynamoDB\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Massive scale, single-digit ms reads, integrated change streams.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"Elasticsearch-compatible\",\n      \"service\": \"Amazon OpenSearch Service\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Full-text search and per-user note queries.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Amazon ElastiCache for Redis\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Hot reads, presence state, low-latency session data.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Message queue (SQS-style)\",\n      \"service\": \"Amazon SQS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable background jobs and fan-out processing.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object store\",\n      \"service\": \"Amazon S3\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable attachments, versioning, CDN origin.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket Pub/Sub / Presence\",\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scales to 100k concurrent, offers pub/sub, presence, and reliability.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 / OpenID Connect\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Auth0\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Scalable identity, social logins, security and compliance.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Containerized microservices\",\n      \"service\": \"Amazon EKS (Fargate)\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Kubernetes with Fargate removes node management and autoscaling.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Amazon EKS\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Standard orchestration and broad ecosystem support.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + OpenTelemetry\",\n      \"service\": \"Amazon Managed Prometheus + Amazon Managed Grafana\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Unified metrics, tracing, and dashboards with scalable managed pods.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native Git workflow, matrix builds, and broad integrations.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Product analytics\",\n      \"service\": \"Amplitude\",\n      \"provider\": \"Amplitude\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Behavioral analytics tuned for product metrics and funnels.\"\n    },\n    {\n      \"role\": \"other\",\n      \"technology\": \"Yjs (CRDT)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Proven CRDT library for offline-first collaborative editing and merges.\"\n    }\n  ],\n  \"main_risk\": \"Managed realtime and auth SaaS costs and vendor limits may become dominant at 10M MAU with high presence.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16599,"probe_id":6054,"sample":1,"system":"local_first","variant":"scale","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: The system must support ten million monthly active users and, where relevant, one hundred thousand concurrent users.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"local-first sync\",\n  \"components\": [{\n    \"role\": \"mobile\",\n    \"technology\": \"react-native\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"enables offline editing with local storage\"\n  },{\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"stores user accounts and sync metadata\"\n  },{\n    \"role\": \"realtime\",\n    \"technology\": \"websockets\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"pushes note changes across devices\"\n  },{\n    \"role\": \"auth\",\n    \"technology\": \"jwt\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"validates device sync sessions\"\n  }],\n  \"main_risk\": \"CRDT merge complexity under 100k concurrent edits\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Grok"},{"response_id":16610,"probe_id":6055,"sample":1,"system":"local_first","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"local-first sync with EU data residency\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Offline-capable SPA with local state management for notes\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Shared codebase, offline SQLite, native sync capabilities\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, concurrent sync engine; minimal resource footprint for EU hosting\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"fiber\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight Go HTTP framework suitable for sync APIs\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST with JSON Patch\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Operational transforms and delta sync for conflict resolution\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID transactions for sync state; EU hosting via Hetzner or similar\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Real-time multi-device sync notifications without external dependency\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-contained auth; optional email verification via EU mail service\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object storage\",\n      \"service\": \"MinIO\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared attachments; EU data residency; self-hosted avoids cloud vendor lock-in\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": null,\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"EU-based infrastructure provider with strong privacy stance\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": null,\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Acceptable SaaS; code remains private; build EU-targeted containers\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Open-source stack; metrics and logs stay in EU; minimal overhead\"\n    }\n  ],\n  \"main_risk\": \"Sync conflict resolution complexity at scale; operational transforms or CRDT migration needed if latency-sensitive real-time editing increases.\",\n  \"first_component_to_replace_at_scale\": \"WebSocket realtime layer—replace with message queue (EU-hosted RabbitMQ or NATS) if concurrent user growth exceeds single-node capacity.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16676,"probe_id":6055,"sample":1,"system":"local_first","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"local-first\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"PWA for offline access and local-first notes interface.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": \"Expo\",\n      \"provider\": \"Expo\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile with offline-first capabilities.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared types with frontend and strong typing.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast Node.js server for REST endpoints.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"Fastify\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST API for auth, sharing, and document metadata.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-hosted managed PostgreSQL for accounts and document metadata.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Caching and session store in EU.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis\",\n      \"service\": \"BullMQ\",\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Job queue for async tasks like sharing notifications.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": \"Hocuspocus\",\n      \"provider\": \"Hocuspocus\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT sync server for collaborative offline editing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Ory\",\n      \"service\": \"Ory Cloud\",\n      \"provider\": \"Ory\",\n      \"delivery\": \"saas\",\n      \"reason\": \"European identity provider for auth and consent.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible\",\n      \"service\": \"Scaleway Object Storage\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"EU-based object storage for note attachments.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud with EU data residency guarantees.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Scaleway Kapsule\",\n      \"provider\": \"Scaleway\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Managed Kubernetes orchestration in EU region.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus, Loki, Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitoring, logging, and dashboards.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab SaaS\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"saas\",\n      \"reason\": \"CI/CD from EU-based provider.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Plausible\",\n      \"service\": \"Plausible\",\n      \"provider\": \"Plausible\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Privacy-friendly EU-hosted product analytics.\"\n    }\n  ],\n  \"main_risk\": \"Sync conflicts and eventual consistency may cause data divergence under high concurrency and long offline periods.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16614,"probe_id":6055,"sample":1,"system":"local_first","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Local-first CRDT synchronization\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Offers mature ecosystem and robust support for local-first library integrations.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Allows shared business logic and UI components between web and mobile platforms.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"managed\",\n      \"reason\": \"Excellent concurrency handling for managing numerous persistent WebSocket connections.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Cloud SQL\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Reliable relational storage for user metadata and account state, region-locked to EU.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Automerge\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Provides deterministic conflict-free data synchronization required for local-first performance.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Auth0\",\n      \"provider\": \"Okta\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Simplifies secure authentication and compliance with EU data residency requirements.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Google Kubernetes Engine\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Provides scalable orchestration within the Frankfurt region for EU compliance.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"Cloud Storage\",\n      \"provider\": \"Google Cloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Durable storage for blob attachments constrained to EU-only buckets.\"\n    }\n  ],\n  \"main_risk\": \"Managing consistent CRDT state resolution across heterogeneous devices during prolonged periods of offline status.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16626,"probe_id":6055,"sample":1,"system":"local_first","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"local-first with CRDT sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"ecosystem\",\n      \"delivery\": \"client\",\n      \"reason\": \"Dominant ecosystem for cross-platform local-first UIs.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Single codebase for iOS and Android; strong offline support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Efficient concurrency and binary deployment simplicity.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Fiber\",\n      \"service\": null,\n      \"provider\": \"community\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal overhead, request-scoped goroutines ideal for IO-heavy sync.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"gRPC\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Efficient binary protocol; strong typing aids CRDT merge safety.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European hosting; JSONB supports schema-flexible notes well.\"\n    },\n    {\n      \"role\": \"secondary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"client\",\n      \"reason\": \"File-per-document storage for reliable offline access.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Redis Enterprise\",\n      \"provider\": \"Redis\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European region option; session and CRDT sync cache.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"NATS\",\n      \"service\": null,\n      \"provider\": \"Synadia\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight message bus; durable publishing for sync events.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"On-prem S3-compatible storage retains EU data control.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": null,\n      \"service\": \"Ably\",\n      \"provider\": \"Ably\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data residency; built-in presence and message ordering.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.1\",\n      \"service\": \"Cognito\",\n      \"provider\": \"AWS\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU availability zones; low-code identity with custom scopes.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": null,\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Cost-effective EU-only VMs with local SSD options.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Docker\",\n      \"service\": \"Docker Swarm\",\n      \"provider\": \"Docker\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Minimal footprint; single-command cluster scale-up.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": null,\n      \"service\": \"Grafana Cloud\",\n      \"provider\": \"Grafana Labs\",\n      \"delivery\": \"saas\",\n      \"reason\": \"EU data hosting; consolidated metrics, logs, traces.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": null,\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Native to repo; matrix builds for multi-architecture binaries.\"\n    }\n  ],\n  \"main_risk\": \"Database corruption during concurrent CRDT merges across devices.\",\n  \"first_component_to_replace_at_scale\": \"NATS queue\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16619,"probe_id":6055,"sample":1,"system":"local_first","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"local-first (CRDT)\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React + Yjs (IndexedDB persistence)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Web UI with local CRDT storage for offline-first editing and sync.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native + SQLite + Yjs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform native app with local SQLite CRDT persistence and offline support.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript (Node.js)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe server ecosystem with strong Node.js CRDT and realtime library support.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"NestJS\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Opinionated TypeScript framework for scalable modular APIs and integrations.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST + WebSocket (Yjs y-websocket for doc sync)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"REST for metadata/auth; WebSocket for CRDT realtime document synchronization.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": \"Aiven for PostgreSQL (EU region)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Relational metadata storage with strong consistency and EU-managed hosting.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": \"Aiven for Redis (EU region)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Low-latency caching and ephemeral leader-election for sync servers.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"Redis Streams\",\n      \"service\": \"Aiven for Redis (EU region)\",\n      \"provider\": \"Aiven\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Lightweight background job and fan-out stream processing integrated with Redis.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"Meilisearch\",\n      \"service\": \"Meilisearch Cloud (EU)\",\n      \"provider\": \"Meilisearch\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Fast, privacy-friendly full-text search with EU cloud offering.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible object store\",\n      \"service\": \"OVHcloud Object Storage (EU)\",\n      \"provider\": \"OVHcloud\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Store attachments in EU with S3 API compatibility and lifecycle controls.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs (y-websocket) CRDT sync server\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Authoritative realtime relay for CRDT document sync and multi-device convergence.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"Keycloak\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Flexible OAuth2/OpenID Connect with EU self-hosting for data residency.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"VMs / Cloud instances\",\n      \"service\": \"Hetzner Cloud\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"European cloud provider with good pricing and EU data residency controls.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": \"Hetzner Managed Kubernetes\",\n      \"provider\": \"Hetzner\",\n      \"delivery\": \"managed\",\n      \"reason\": \"Container orchestration for scalability, multi-zone deployments, and rollout safety.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana + Loki\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, dashboards, and logs self-hosted to keep telemetry within EU.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (self-hosted)\",\n      \"service\": \"GitLab CE\",\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted pipelines ensure code and pipeline data remain in EU control.\"\n    },\n    {\n      \"role\": \"analytics\",\n      \"technology\": \"Matomo\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Privacy-preserving analytics, hostable in EU to satisfy data residency.\"\n    }\n  ],\n  \"main_risk\": \"CRDT-based sync at scale can create complex merge edge cases and operational contention across many devices.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16633,"probe_id":6055,"sample":1,"system":"local_first","variant":"eu","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: All personal data must be stored and processed in the European Union; prefer European providers where operationally reasonable.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"local-first sync\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"flutter\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"offline-first cross-platform UI\"\n  }, {\n    \"role\": \"backend_language\",\n    \"technology\": \"rust\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"memory safety and speed for sync\"\n  }, {\n    \"role\": \"backend_framework\",\n    \"technology\": \"axum\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"async websocket handling\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"postgresql\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU data residency and ACID\"\n  }, {\n    \"role\": \"realtime\",\n    \"technology\": \"nats\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"low-latency device sync\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"zitadel\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"EU-hosted identity and sessions\"\n  }, {\n    \"role\": \"hosting\",\n    \"technology\": \"hetzner cloud\",\n    \"service\": null,\n    \"provider\": \"hetzner\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"German provider meets GDPR\"\n  }],\n  \"main_risk\": \"Self-managed EU infrastructure increases operational load and failure risk.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"},{"response_id":16647,"probe_id":6056,"sample":1,"system":"local_first","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"anthropic/claude-haiku-4.5","response":"```json\n{\n  \"architecture_style\": \"local-first sync with self-hosted backend\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Facebook/Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Rich UI for note editing with offline capability via service workers.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Facebook/Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Code sharing with web frontend; native performance for mobile sync.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": \"Google\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, concurrent sync server; minimal operational overhead.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Echo\",\n      \"service\": null,\n      \"provider\": \"Labstack\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for sync and sharing endpoints.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"ACID compliance for conflict-free sync state; JSON support for notes.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Native browser API; bidirectional sync notifications without external service.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OAuth 2.0 with JWT\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stateless auth suitable for multi-device sync without managed provider.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": null,\n      \"provider\": \"MinIO or Ceph\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Shared attachments across devices; standard protocol for interop.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Docker\",\n      \"service\": null,\n      \"provider\": \"Docker/Moby\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Containerized backend deployable anywhere; simplifies operational consistency.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitHub Actions\",\n      \"service\": \"GitHub Actions\",\n      \"provider\": \"GitHub/Microsoft\",\n      \"delivery\": \"saas\",\n      \"reason\": \"Standard CI/CD for open-source project; builds and tests releases.\"\n    }\n  ],\n  \"main_risk\": \"Operational burden of self-hosting sync backend; sync conflicts under heavy concurrent edits require robust CRDT-like conflict resolution.\",\n  \"first_component_to_replace_at_scale\": \"WebSocket realtime layer to message queue for reliable delivery at high concurrency.\"\n}\n```","model_label":"Claude (haiku)"},{"response_id":16680,"probe_id":6056,"sample":1,"system":"local_first","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"deepseek/deepseek-v4-pro","response":"{\n  \"architecture_style\": \"local-first with CRDT sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Proven UI library for building offline-capable web apps.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": \"Meta\",\n      \"delivery\": \"client\",\n      \"reason\": \"Cross-platform mobile app with SQLite for offline storage.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": null,\n      \"provider\": \"Microsoft\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Type-safe language shared between frontend and backend.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Express.js\",\n      \"service\": null,\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP API server for auth and sharing.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"REST\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard HTTP API for user management and sharing links.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"PostgreSQL\",\n      \"service\": null,\n      \"provider\": \"PostgreSQL Global Development Group\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Stores user accounts, note metadata, and document snapshots.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis Ltd.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Coordinates sync server instances and stores sessions.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs + Hocuspocus\",\n      \"service\": \"Hocuspocus\",\n      \"provider\": \"Hocuspocus\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CRDT-based sync server with WebSocket transport for local-first editing.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Container orchestration for scalable self-hosted deployment.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Manages container lifecycle and scaling.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": \"CNCF/Grafana Labs\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Monitoring and alerting for infrastructure and apps.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI\",\n      \"service\": \"GitLab CI\",\n      \"provider\": \"GitLab Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"End-to-end open-source CI/CD pipeline self-hosted.\"\n    }\n  ],\n  \"main_risk\": \"Concurrent offline edits while sharing may cause complex conflict resolutions, risking data divergence without robust CRDT testing.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"DeepSeek"},{"response_id":16650,"probe_id":6056,"sample":1,"system":"local_first","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"google/gemini-3.1-flash-lite","response":"{\n  \"architecture_style\": \"Local-first CRDT-based sync\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Mature ecosystem for complex client-side state management.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Allows sharing business logic and CRDT implementation with the web frontend.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"TypeScript\",\n      \"service\": \"Node.js\",\n      \"provider\": \"OpenJS Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Consistent language across frontend and backend simplifies CRDT logic.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"SQLite\",\n      \"service\": null,\n      \"provider\": \"SQLite Consortium\",\n      \"delivery\": \"client\",\n      \"reason\": \"Reliable transactional storage for local-first operations and offline persistence.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"Yjs\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Standard CRDT library for seamless conflict-free collaborative editing.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OIDC\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Federated identity solution compatible with self-hosting requirements.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"MinIO\",\n      \"service\": null,\n      \"provider\": \"MinIO Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Provides S3-compatible API for storing user attachments in a self-hosted environment.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes\",\n      \"service\": null,\n      \"provider\": \"CNCF\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Industry standard for managing containerized self-hosted infrastructure.\"\n    }\n  ],\n  \"main_risk\": \"Synchronizing massive document histories between devices may lead to performance degradation without advanced snapshotting strategies.\",\n  \"first_component_to_replace_at_scale\": \"realtime\"\n}","model_label":"Gemini (lite)"},{"response_id":16659,"probe_id":6056,"sample":1,"system":"local_first","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"mistralai/mistral-small-2603","response":"```json\n{\n  \"architecture_style\": \"offline-first sync\",\n  \"components\": [\n    {\"role\": \"mobile\", \"technology\": \"Flutter\", \"service\": null, \"provider\": \"Google\", \"delivery\": \"client\", \"reason\": \"Cross-platform, good offline support.\"},\n    {\"role\": \"frontend\", \"technology\": \"SvelteKit\", \"service\": null, \"provider\": \"Open Source\", \"delivery\": \"client\", \"reason\": \"Lightweight, reactive, SSR/SSG optional.\"},\n    {\"role\": \"backend_language\", \"technology\": \"Go\", \"service\": null, \"provider\": \"Go Team\", \"delivery\": \"self_hosted\", \"reason\": \"Concurrency, simplicity, fast sync handling.\"},\n    {\"role\": \"backend_framework\", \"technology\": \"Gin\", \"service\": null, \"provider\": \"Open Source\", \"delivery\": \"self_hosted\", \"reason\": \"Minimal HTTP framework good for CRUD sync.\"},\n    {\"role\": \"primary_database\", \"technology\": \"SQLite\", \"service\": null, \"provider\": \"Hwaci\", \"delivery\": \"self_hosted\", \"reason\": \"Zero-config, embedded, great for local-first apps.\"},\n    {\"role\": \"secondary_database\", \"technology\": \"CouchDB\", \"service\": null\":null\", \"provider\": \"Apache\", \"delivery\": \"self_hosted\", \"reason\": \"Native multi-master sync, JSON native.\"},\n    {\"role\": \"realtime\", \"technology\": \"WebSockets via Go HTTP\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Direct server ↔ client sync without extra deps.\"},\n    {\"role\": \"auth\", \"technology\": \"Authelia\", \"service\": null, \"provider\": \"Open Source\", \"delivery\": \"self_hosted\", \"reason\": \"Self-hosted auth with OIDC, MFA, low overhead.\"},\n    {\"role\": \"api\", \"technology\": \"REST over JSON\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Universal, simple, works offline with last-sync markers.\"},\n    {\"role\": \"object_storage\", \"technology\": \"MinIO\", \"service\": null, \"provider\": \"Open Source\", \"delivery\": \"self_hosted\", \"reason\": \"S3-compatible, minimal ops, stores binaries.\"},\n    {\"role\": \"cache\", \"technology\": \"Redis\", \"service\": null, \"provider\": \"Redis Ltd\", \"delivery\": \"self_hosted\", \"reason\": \"Fast in-memory cache, sync queue, pub/sub.\"},\n    {\"role\": \"queue\", \"technology\": \"Redis Streams\", \"service\": null, \"provider\": \"Redis Ltd\", \"delivery\": \"self_hosted\", \"reason\": \"Lightweight, fits small-scale sync traffic.\"},\n    {\"role\": \"hosting\", \"technology\": \"Linux KVM on bare metal\", \"service\": null, \"provider\": null, \"delivery\": \"self_hosted\", \"reason\": \"Full control, low overhead, no vendor lock-in.\"},\n    {\"role\": \"orchestration\", \"technology\": \"systemd\", \"service\": null, \"provider\": \"Linux\", \"delivery\": \"self_hosted\", \"reason\": \"Simple, reliable, built-in process control.\"},\n    {\"role\": \"observability\", \"technology\": \"Prometheus + Grafana\", \"service\": null, \"provider\": \"Open Source\", \"delivery\": \"self_hosted\", \"reason\": \"Standard stack, local-friendly, low noise.\"},\n    {\"role\": \"ci_cd\", \"technology\": \"Woodpecker CI\", \"service\": null, \"provider\": \"Open Source\", \"delivery\": \"self_hosted\", \"reason\": \"Drone fork, Docker-native, lightweight.\"}\n  ],\n  \"main_risk\": \"CouchDB cluster split-brain during poor network conditions if quorum not enforced.\",\n  \"first_component_to_replace_at_scale\": \"CouchDB\"\n}\n```","model_label":"Le Chat (small)"},{"response_id":16655,"probe_id":6056,"sample":1,"system":"local_first","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"openai/gpt-5-mini","response":"{\n  \"architecture_style\": \"local-first sync with CouchDB replication\",\n  \"components\": [\n    {\n      \"role\": \"frontend\",\n      \"technology\": \"React\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Progressive web UI, wide ecosystem, integrates with local storage and sync libraries.\"\n    },\n    {\n      \"role\": \"mobile\",\n      \"technology\": \"React Native\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"client\",\n      \"reason\": \"Single-codebase native apps, supports PouchDB and offline-first behaviors.\"\n    },\n    {\n      \"role\": \"backend_language\",\n      \"technology\": \"Go\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Compact binaries, concurrency, easy to run alongside CouchDB and indexing services.\"\n    },\n    {\n      \"role\": \"backend_framework\",\n      \"technology\": \"Gin\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight HTTP framework for building auth, sharing, and indexing endpoints.\"\n    },\n    {\n      \"role\": \"api\",\n      \"technology\": \"HTTP REST (CouchDB replication + app REST)\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"CouchDB replication + REST endpoints for sharing and admin control.\"\n    },\n    {\n      \"role\": \"primary_database\",\n      \"technology\": \"Apache CouchDB\",\n      \"service\": null,\n      \"provider\": \"Apache Software Foundation\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Built-in replication, offline sync, attachments, and eventual consistency for local-first.\"\n    },\n    {\n      \"role\": \"search\",\n      \"technology\": \"MeiliSearch\",\n      \"service\": null,\n      \"provider\": \"Meilisearch\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Fast, self-hostable full-text search for note indexing and low-latency queries.\"\n    },\n    {\n      \"role\": \"object_storage\",\n      \"technology\": \"S3-compatible storage\",\n      \"service\": \"MinIO\",\n      \"provider\": \"MinIO, Inc.\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hostable S3 API for attachments, scalable and easy to deploy.\"\n    },\n    {\n      \"role\": \"auth\",\n      \"technology\": \"OpenID Connect / OAuth2\",\n      \"service\": \"Keycloak\",\n      \"provider\": \"Red Hat (Keycloak project)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Full-featured, self-hostable identity, supports social OIDC and user management.\"\n    },\n    {\n      \"role\": \"realtime\",\n      \"technology\": \"WebSocket\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Lightweight presence and notification channel integrated in backend.\"\n    },\n    {\n      \"role\": \"cache\",\n      \"technology\": \"Redis\",\n      \"service\": null,\n      \"provider\": \"Redis\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Session caching and transient coordination for sync and notifications.\"\n    },\n    {\n      \"role\": \"queue\",\n      \"technology\": \"RabbitMQ\",\n      \"service\": null,\n      \"provider\": \"Pivotal/VMware (RabbitMQ project)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Background tasks: share emails, index updates, and long-running jobs.\"\n    },\n    {\n      \"role\": \"orchestration\",\n      \"technology\": \"Kubernetes (k3s for small deployments)\",\n      \"service\": null,\n      \"provider\": \"Rancher (k3s project)\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Declarative deployment, scaling, and service lifecycle on self-hosted infrastructure.\"\n    },\n    {\n      \"role\": \"hosting\",\n      \"technology\": \"Linux virtual machines / bare metal\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Run all components on customer-controlled infrastructure for privacy and control.\"\n    },\n    {\n      \"role\": \"observability\",\n      \"technology\": \"Prometheus + Grafana\",\n      \"service\": null,\n      \"provider\": null,\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Metrics, alerts, and dashboards to monitor sync, DB, and services.\"\n    },\n    {\n      \"role\": \"ci_cd\",\n      \"technology\": \"GitLab CI (Community Edition)\",\n      \"service\": null,\n      \"provider\": \"GitLab\",\n      \"delivery\": \"self_hosted\",\n      \"reason\": \"Self-hosted continuous integration and deployment pipelines for application lifecycle.\"\n    }\n  ],\n  \"main_risk\": \"Operational complexity of managing multiple self-hosted services and ensuring consistent replication conflict handling.\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"ChatGPT (mini)"},{"response_id":16667,"probe_id":6056,"sample":1,"system":"local_first","variant":"open_source","prompt":"You are the principal engineer accountable for one production architecture.\nMake concrete decisions rather than listing alternatives. Choose at most one primary choice for each\nrole and omit roles the system does not need. Do not add technology merely to fill the schema. Use\ncanonical technology names. Separate an underlying technology from the commercial service delivering\nit. Keep every reason under 20 words. Return JSON only, with exactly this shape:\n{\n  \"architecture_style\": \"short label\",\n  \"components\": [{\n    \"role\": \"one allowed role\",\n    \"technology\": \"canonical underlying technology or null\",\n    \"service\": \"specific hosted product or null\",\n    \"provider\": \"vendor or foundation or null\",\n    \"delivery\": \"self_hosted, managed, saas, or client\",\n    \"reason\": \"brief reason\"\n  }],\n  \"main_risk\": \"one sentence\",\n  \"first_component_to_replace_at_scale\": \"component name or none\"\n}\n\nDesign the production architecture for this system:\n\nA local-first notes application with offline editing, multi-device sync, and sharing.\n\nConstraint: Every critical component must be open source and self-hostable; do not rely on a proprietary managed-only dependency.\n\nAllowed component roles: frontend, mobile, backend_language, backend_framework, api, primary_database, secondary_database, cache, queue, search, object_storage, realtime, auth, hosting, orchestration, observability, ci_cd, analytics, ml_inference, other.\nSelect one stack, not several possible stacks. Return JSON only.","model":"x-ai/grok-4.3","response":"{\n  \"architecture_style\": \"local-first CouchDB sync\",\n  \"components\": [{\n    \"role\": \"frontend\",\n    \"technology\": \"Svelte\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"lightweight offline-first UI\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"PouchDB\",\n    \"service\": null,\n    \"provider\": null,\n    \"delivery\": \"client\",\n    \"reason\": \"embedded local replication store\"\n  }, {\n    \"role\": \"primary_database\",\n    \"technology\": \"CouchDB\",\n    \"service\": null,\n    \"provider\": \"Apache\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"open-source master for sync and sharing\"\n  }, {\n    \"role\": \"auth\",\n    \"technology\": \"CouchDB users\",\n    \"service\": null,\n    \"provider\": \"Apache\",\n    \"delivery\": \"self_hosted\",\n    \"reason\": \"built-in per-doc access control\"\n  }],\n  \"main_risk\": \"CouchDB replication conflicts at high user counts\",\n  \"first_component_to_replace_at_scale\": \"primary_database\"\n}","model_label":"Grok"}]}