In the news
Do evals the Airbnb way
Pydantic · Bill Easton · Published · 3 min read
In 30 seconds
- What happened
- Airbnb published a three-layer evaluation framework for generative AI: programmatic checks, LLM judges, and human review. Pydantic demonstrated implementing it end-to-end.
- Why it matters
- Engineers building production AI systems need evaluation strategies that scale beyond manual testing and catch real failure modes before deployment.
- Watch out
- The framework requires reading 50 to 100 actual outputs first to identify real failures. Generic evaluators written without seeing failures mostly measure the author's assumptions, not system quality.
Listen to this summary
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The patterns behind this
- Eval-Driven Development (Agent CI)
- Progressive Rollout & Shadow Mode
- Agentic Context Engineering (Evolving Playbook)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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