Mine Agent Transcripts for Correction Patterns to Improve Evaluations
jonah_omninode · reddit · 2026-08-13
The author argues that everyday agent transcripts are high-quality evaluation datasets, rather than just chat logs. By mining over 1,500 workflow records, they found that the most valuable evaluation unit is the human correction episode.
- Correction Patterns: Repeated corrections expose missing system controls, such as 'plans surviving conversations' or 'completion reports requiring independent evidence.'
- Dataset Recommendations: A robust agent evaluation dataset should include human corrections, retries, overrides, and false-completion reports, not just Q&A pairs.
- Limitations: While transcripts cannot definitively prove task success, they effectively reveal workflow gaps that retrospective interviews tend to smooth away.
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