EvalWatch
Trace outputs. Spot failures early. Catch regressions before users do.
EvalWatch gives AI product teams one operating surface for live traces, failure review, evaluation planning, and regression checks before release.
Most teams find regressions after a prompt change, model swap, or retrieval tweak reaches production. EvalWatch is built to move that review loop forward.
Workflow
- 1. Capture the live prompt and response pair.
- 2. Flag suspicious latency or weak output before it spreads.
- 3. Define eval coverage around the risky parts of the product.
- 4. Compare the next candidate against the current baseline.
Observability
Review traces with the metadata that matters when behavior changes.
Failure review
Turn suspicious sessions into a queue instead of waiting for anecdotal bug reports.
Regression control
Keep prompt, model, and chain changes visible before the next release.