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ChatGPT prompt engineering

Why Your ChatGPT Prompts Fail (And How to Fix Them)

January 10, 20255 min read

Prompting is not magic. It is specification. If your spec is unclear, the output will be unclear.

The 7 failure modes (and the fix for each)

  • No clear objective: State the outcome in one sentence and define what "done" means.
  • Missing audience: Say who the output is for (executive, student, customer) and what level.
  • No constraints: Give format, length, tone, and what to avoid.
  • Too many tasks at once: Split into steps and ask for an outline before a full draft.
  • No examples: Provide one example of what you like (or what you dislike).
  • No verification step: Ask the model to separate facts vs assumptions and flag uncertainty.
  • No iteration loop: Draft first, then critique, then finalize. One pass is rarely enough.

If you fix only one thing, fix constraints. Constraints turn generic output into usable output.

A tiny troubleshooting checklist (save this)

Before you hit send, confirm you included: objective, audience, constraints, and a verification request. If any are missing, the model will invent them.

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