rrollout/ docs
HomePricingDocsGitHub
Sign inSign up free
SDKCLICookbook
  • Overview

Cookbook/Get started

Cookbook

Short, task-oriented recipes — the fastest path from zero to a working result. Each one is copy-paste first, with just enough explanation to adapt it to your own agent. Start with GEPA if you want to make an agent measurably better.

Optimize

Optimize a prompt with GEPA→Take a weak prompt, give GEPA a dataset and a verifier, and ship a measurably better one.Score outputs with a verifier→Turn pass / fail rules into a verifier that scores every output the same way.

Observe

Trace an agent end to end→Instrument an agent in two calls so every step, tool call, and token is captured.

Evaluate

Run a benchmark suite→Pull a shared task package and run it against your agent endpoint.
Next →Optimize a prompt with GEPA

On this page

  • Optimize
  • Observe
  • Evaluate
rrollout
HomeGitHubTermsPrivacy

© 2026 mv37 · the agent improvement loop