> For the complete documentation index, see [llms.txt](https://docs.layerlens.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.layerlens.ai/9.-improve-tune-the-system/gepa-iterative-labeling.md).

# GEPA iterative labeling

Recipe — iteratively label examples and re-optimize judges as your bar evolves.

Treat judge optimization as a continuous loop:

1. Use judge in production / pre-deploy
2. When verdicts disagree with reviewers, log + label
3. Quarterly: append new labels to the training set; re-optimize
4. Compare old vs new agreement rate

This keeps the judge calibrated to your team's evolving bar.

## See also

* [Concept: Judges](/8.-evaluate-score-the-outputs/judges-1.md)
* [Tutorial 5: GEPA](/9.-improve-tune-the-system/05-gepa-optimize.md)