Prompt Optimize Loop

An evolutionary optimizer for a prompt (OpenEvolve / AlphaEvolve-style). The artifact is a prompt that feeds the user's system; the feedback signal is a scalar metric printed by the user's own evaluation command. Each iteration proposes one quality-focused edit, re-runs the eval, and keeps the edit only if the metric improves — evolving the prompt toward higher scores. The eval is a black-box oracle the loop runs but never edits, so the optimization tracks what actually matters rather than gaming a number.

When to use

Use this when the user has a prompt and a command that scores the system using it, and wants the prompt improved to raise that score. Default to diagnosing the prompt's biggest current weakness each round and applying the one operator that addresses it; if the eval feedback points elsewhere, follow the feedback. Not for authoring a prompt from nothing, tuning weights/hyperparameters, or making a single manual edit with no score to compare against.

Setup