Constraint-Based Output Prompt
Specify hard limits on length, format, tone, and content to control output.
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.
Verliere nie wieder starke Prompts in Chat-Verläufen. Speichere Prompts direkt aus ChatGPT, Claude und Gemini mit der Marqly-Erweiterung und finde sie mit der semantischen Pro-Suche wieder.
Ein-Klick Prompt-Erfassung · Semantische Pro-Suche in deiner Sammlung · Erfahre, wie du KI-Chats speicherst und Capture-Funktionen nutzt, um nützliche Prompts direkt neben deinen Quellen zu sichern.
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.
- Copy the full prompt above.
- Replace the bracketed placeholders with your own details.
- Paste it into chatgpt, claude, gemini (or your preferred AI tool).
- 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.
Häufig gestellte Fragen
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.
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