Agent frameworks & orchestration
AI Evals: Everything You Need to Know
The FAQ’s central recommendation is to build product evaluations from real failure patterns—not generic metrics or failures you only imagine.
Why it matters: This approach directs effort toward problems users actually encounter. It also helps teams choose inexpensive code checks where rules are objective, reserve LLM judges for subjective failures, and test those judges against human labels before relying on their scores.