AI observability
The ability to see what an AI system did, why it did it, and how it performed.
Why it matters
Without observability, a team can see that a user was unhappy but not which source, prompt, permission, or model change caused the problem. Visibility makes improvement and incident response possible.
Use it well
- Trace the request across retrieval, model, tools, and review.
- Redact sensitive data before storing traces.
- Pair operational metrics with quality and outcome signals.