AI-driven products where the challenge is moving from experimentation to reliable production systems. Evaluation, observability, rollout and ownership define whether AI is shippable.
Thin slice to production
Production AI, acceptance criteria + rollout/rollback
RAG in production
RAG system, retrieval failure modes under latency budgets
LLM evaluation
Production AI, eval harness and regression gates
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How to use these case studies
•Case studies describe constraints, decisions, and responsibility boundaries
•The goal is to make trade-offs visible, not to claim outcomes
•Pick a context hub to see the full set and deep dives
Case Studies — Proof Across Product Contexts | Lazy Ants