> 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.md).

# 9. Improve — tune the system

- [Improve (workflow)](https://docs.layerlens.ai/9.-improve-tune-the-system/workflow.md): Stage 5 — Improve. Tune prompts, judges, and configurations. Re-run.
- [Premium surfaces](https://docs.layerlens.ai/9.-improve-tune-the-system/premium-surfaces.md)
- [Judge Optimization (GEPA)](https://docs.layerlens.ai/9.-improve-tune-the-system/judge-optimization.md): GEPA judge optimization — automatically tune your judge rubric to match labeled ground truth.
- [Tutorials](https://docs.layerlens.ai/9.-improve-tune-the-system/tutorials.md)
- [Tutorial 5: Optimize a judge with GEPA](https://docs.layerlens.ai/9.-improve-tune-the-system/05-gepa-optimize.md): Tutorial 5 — Optimize a judge with GEPA so its verdicts match your team's labels.
- [Cookbook](https://docs.layerlens.ai/9.-improve-tune-the-system/cookbook.md)
- [GEPA basics](https://docs.layerlens.ai/9.-improve-tune-the-system/gepa-basics.md): Recipe — judge optimization basics. Pointer to the SDK judge\_optimization sample.
- [GEPA holdout](https://docs.layerlens.ai/9.-improve-tune-the-system/gepa-holdout.md): Recipe — held-out validation when running judge optimization, to detect over-fit.
- [GEPA iterative labeling](https://docs.layerlens.ai/9.-improve-tune-the-system/gepa-iterative-labeling.md): Recipe — iteratively label examples and re-optimize judges as your bar evolves.
- [Daily smoke eval](https://docs.layerlens.ai/9.-improve-tune-the-system/daily-smoke-eval.md): Recipe — daily smoke evaluation against a representative trace set, scheduled by your own cron.
- [Quarterly rebench](https://docs.layerlens.ai/9.-improve-tune-the-system/quarterly-rebench.md): Recipe — quarterly model re-evaluation as the frontier moves.


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