Prompt Reverse Engineering: Fix Your Prompts by Studying the Wrong Answers

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Learn prompt reverse engineering: analyse wrong LLM outputs, identify missing constraints, patch prompts systematically, and iterate like a pro.
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Most “bad” LLM outputs are diagnostics. Treat them like stack traces: classify the failure, infer what your prompt failed to specify, patch the prompt, and re-test with a minimal change. Build a prompt changelog so you stop re-learning the same lesson.