AI evaluation
A repeatable way to test whether an AI system is useful, safe, and improving.
Why it matters
Demo quality is not production quality. Evaluations make changes visible and let a team decide whether a prompt, model, retrieval strategy, or workflow actually improved the system.
Use it well
- Create a small, representative test set before optimizing.
- Track failures by type, not only by one score.
- Run evaluations whenever prompts, models, or sources change.