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I told the chatbot never to mention a competitor, and it worked the name into a reply anyway.
What you'll have at the end
A rewritten instruction, retested across five fresh conversations, that stayed clean where the original violated three times out of five, with every other 'don't' line in the same prompt converted the same way.
You need
A chatbot or LLM app whose system prompt you can edit, with at least one 'do not' instruction you can already watch the model break.
Not covered
Building an automated test harness that reruns this check on every future prompt edit, instead of the manual five-trial spot check here.
Leans on
Audit a failing prompt against a checklist of common mistakes
If the positive rewrite still gets violated, run the whole prompt through a broader mistake checklist before assuming this technique failed.
The same prompt can work on one chatbot and fail on another
If the same rewritten instruction holds on one chatbot and fails on another, that's a model difference to check separately, not a flaw in the rewrite.
Checked 18 Aug 2026
Part of the Prompt Engineering cookbook