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GEPA

GEPA — A case study by Sutro showing how automated prompt optimization aligns repeated AI…

GEPA is A case study by Sutro showing how automated prompt optimization aligns repeated AI decisions with organization-specific judgment using only 30 annotations.. It is ranked #597 on the Dev Radar, in AI dev tools, first seen 1 h ago and shared in 1 post (146 views).

Visit gepa-ai.github.io

Bridging the Subjectivity Gap: How Automated Prompt Optimization Helps Teams Build Expert-Aligned AI Functions - GEPA Skip to content Initializing search gepa-ai/gepa Becoming model-agnostic Alternatives Own the eval, then pick the model Limitations Related: aligning structured judges Reach out Appendix: per-model results Confidence-Aware Prompt Optimization for LLM Classification Archive Guides Tutorials API Reference GEPA Engine Core Callbacks Stop Conditions Adapters Proposers Logging Strategies Becoming model-agnostic Alternatives Own the eval, then pick the model Limitations Related: aligning structured judges Reach out Appendix:…

What people said about GEPA on X

GEPA is an incredible tool for optimizing AI decision models on subjective tasks. Using just 30 annotations, we improved a lead scorer's average accuracy by +43%, answer consistency by +31%, and cut frontier-grade inference costs by ~5x. And the best performing models were far from the most "generally" intelligent on…

@sethkimmel3, 1 h ago · 5 likes · see the post

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FAQ

What is GEPA?

A case study by Sutro showing how automated prompt optimization aligns repeated AI decisions with organization-specific judgment using only 30 annotations. It was first shared on X 1 h ago and is ranked #597 on the Dev Radar.

Is GEPA free?

Pricing is not stated on the page we read.

Who shared GEPA?

1 account on X, including @sethkimmel3, in 1 post totalling 146 views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 22.9k posts from 5k X accounts over the last 21 days, 2.7k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-23 22:52 UTC. Full method.