Test your AI feature on real inputs, find where it goes wrong, and rewrite the system prompt with clear rules, examples and output format.
The AI in my app gives weird answers. Rewrite the prompt so it behaves
How it works
- Collect bad answers: Vovy gathers 10 to 20 real inputs where your feature misbehaved, plus a few that worked, into a test sheet.
- Diagnose the current prompt: Vovy reads your system prompt and flags common problems: vague goals, conflicting rules, no examples, no output format.
- Rewrite it: Vovy drafts a new prompt with who the AI is, what it must do, what to avoid, two short examples, and the exact output format.
- Run old vs new: Vovy runs every test case through both prompts in the Claude Console Workbench or OpenAI Playground and marks which got better.
- Ship the winner: A card shows the pass rate for each version and the diff of the prompt. Vovy pastes the winner into your code once you approve.
What you provide
- Your current prompt
- Examples of good and bad answers
What you get
- A rewritten system prompt
- A reusable test sheet
- A before and after pass rate
FAQ
Should I just switch to a smarter model?
Try the prompt first. A clear prompt on a mid-tier model often beats a vague one on the biggest model, at a lower cost.
How long should a system prompt be?
As long as it needs to be clear. Remove anything contradictory or unused, since every token is paid for on every call.
Will this stop all mistakes?
No prompt makes a model perfect. The test sheet lets you catch regressions whenever you change it.
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