Debugging AI Agents with an 'Apology Metric'
arpit_bhayani · x · 2026-07-10
The author proposes a simple yet effective method for debugging AI Agents: monitoring the "apology metric." If an agent frequently responds with phrases like "sorry" or "you're right," it usually indicates poor-quality context rather than a lack of model capability.
Debugging Tips:
- Log responses during deployment and track apology keywords (e.g., sorry, my mistake).
- For high-apology scenarios, investigate whether the documentation is clear, if API descriptions are vague, or if retrieval is failing to provide the right context.
- Optimizing context is often a better fix than blindly switching to a more expensive model.
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