Describe what you want an agent to be able to do and get well-formed tool definitions — names, descriptions, and parameter schemas written so the model picks the right tool, plus the failure modes each one invites.
Open it in Prompt Dock — free prompts run instantly; premium prompts are included in Explorer and Master.
Give it a prompt you rely on and it builds the test cases that catch a regression when you edit it — normal inputs, edge cases, adversarial ones, and the pass criteria for each, so you can change a prompt without hoping.
Describe an agent workflow and it maps where it will fail in production — loops, silent wrong answers, unsafe actions, and cost blowups — with the guardrail for each and the one that must exist before you ship.
Describe your documents and the questions users ask, and it recommends a chunking and retrieval strategy that fits them — size, overlap, metadata, and the evaluation that proves retrieval is the problem before you blame the model.