Bring your dataset
Drop in labelled examples — the input/output pairs every candidate prompt is scored against.
The source, the CLI, sample datasets and configs, and the prompt templates that drive every round — all in one place.
Three plain steps from your dataset to a better prompt — no commands to memorize.
Drop in labelled examples — the input/output pairs every candidate prompt is scored against.
Point PromptPotter at the pipeline you want to improve. It reads the tunable params and never edits your code.
Watch the loop generate, score and critique — round after round — until your numbers move.
Free and open source — no license keys, no seats. Pick how you want to run it.
Drop-in examples so you can watch the loop move on round one — no setup.
The meta-prompts that drive each stage of the loop — read the source that checks in, generates, critiques, reframes the task, and replans.