ProdAIStack
Projects & labs

Build production AI systems

Hands-on, tested implementations that accompany ProdAI Stack engineering guides. Go beyond theory and build real, production-ready systems.

2published labs2technically verifiedSourceincluded
REFERENCE FLOW
Production AI request architectureA request moves from client through application, gateway, model, validation and response, with fallback, observability and evaluation branches.Client01Application02Gateway03Primary model04Validation05Response06FallbackObservabilityEvaluation
Implementation library

Choose a system to build

Inspect the architecture, follow the modules, and validate the implementation against real engineering checks.

Production AI architecture showing an application service, model gateway, LLM provider, reliability controls, observability and evaluation
Hands-on labVerified

Production AI System Design Lab

Build and test the reliability layer around a production LLM application, including contracts, validation, retries, idempotency, fallback routing, observability, and release gates.

TypeScript
advanced1 technologies
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Production AI architecture showing an application service, model gateway, LLM provider, reliability controls, observability and evaluation
Hands-on labVerified

Production RAG Architecture Lab

Build and test a production RAG architecture with versioned ingestion, hybrid keyword and vector retrieval, RRF fusion, authorization filtering, reranking, context assembly, citation validation, evaluation metrics, and release gates.

TypeScriptNode.js
advanced2 technologies
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