Agent Prompt Improver
Takes an existing agent prompt that is not working and returns a rewritten version, a list of what was wrong, and the tests that prove the fix.
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Running it, start to finish
- Paste the actual prompt and a specific example of the wrong behaviour.
- Review the change list rather than adopting the rewrite blindly.
- Run the five tests, especially the case that was failing.
What you get back
The output this produces, every time.
- Diagnoses the specific line or missing section causing your problem rather than rewriting blindly.
- Preserves what was working, so you can tell what actually fixed the behaviour.
- Says when the problem is not fixable by prompting at all, which saves days of editing.
Getting better results
Where this usually goes wrong, and how to avoid it.
- Describe the failure precisely. 'It gives bad answers' cannot be diagnosed. A specific input and the wrong output it produced can.
- Add the examples. They are the single most effective addition to almost any prompt, and the most commonly missing section.
- Believe the cannot-fix verdict. Where the issue is missing context or model capability, further prompt editing is time spent on the wrong thing.
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Written for The AI University. Every prompt in this library is original work — authored, tested and revised here, not collected from elsewhere. 365 of them, free with an account.