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Prompt Engineering #constraints#output format#prompt control#prompt engineering#chatgpt

Constraint-Based Output Prompt

Specify hard limits on length, format, tone, and content to control output.

Full prompt
Answer the following question under these strict constraints:

Question: [your question]

Constraints:
- Maximum length: [X words / sentences / bullet points]
- Format: [paragraph / bullet list / table / JSON]
- Tone: [neutral / formal / playful]
- Include at least [number] examples
- Exclude [topics, assumptions, or language]
- Cite only [provided sources / well-known facts]

If you cannot satisfy all constraints, say which one conflicts and why.

How to use this prompt

Study the structure, then adapt it to your own task. The key is giving the model a clear role, format, and evaluation criteria.

  1. Copy the full prompt above.
  2. Replace the bracketed placeholders with your own details.
  3. Paste it into chatgpt, claude, gemini (or your preferred AI tool).
  4. Iterate on the output: add constraints, ask follow-ups, or combine multiple results.

Why this prompt works

It gives the AI a clear role, specific inputs, and an output format. That structure reduces vague responses and gives you a draft you can refine in minutes instead of hours.

Frequently asked questions

Why are constraints useful?

They reduce ambiguity and shape output so it fits your intended use case.

What if constraints conflict?

Ask the model to flag conflicts rather than silently ignoring a constraint.