Most people scrap a bad answer and start over, wasting context, time, and momentum.
Instead, pinpoint the defect (context, tone, logic, format, facts), issue one surgical follow-up, and lock the fix with clear guardrails.
Try this prompt:
You are my conversational debugging assistant. Evaluate your last answer against the brief below.
Return:
- Top 3 defects tagged by type: missing context, wrong tone/voice, weak reasoning, format miss, unverifiable claim
- One clarifying question that would most improve the output
- A revised 'patch' that fixes those defects
Brief + context:
[Insert your goal, audience, constraints, and any examples]
Last output:
[Insert the exact ChatGPT answer you want to improve]
Pro tips
Wrong tone? → “Rewrite in [voice]. Include our POV: [one line]. Keep sentences short.”
Too generic? → “Add 2 concrete examples from [industry/use-case], with numbers.”
Weak reasoning? → “Rebuild the logic in numbered steps, then produce the corrected output.”
Five minutes of targeted debugging can turn a miss into a perfect match, without losing the flow.
Happy prompting!
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