A demo answers three questions; production answers thousands. Build an evaluation set from real documents and questions, including cases where the correct answer is “not found”.
Measure groundedness (does the answer match the source?), completeness and escalation accuracy. Re-run evaluations after every prompt or model change.
What to do next
- Include “cannot answer” cases
- Measure groundedness against sources
- Block release on regressions
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