Chain-of-Thought Reasoning Prompt
Force step-by-step reasoning before answering to improve accuracy on complex problems.
Solve the following problem by thinking step-by-step before giving your final answer. Show your reasoning at each stage. Problem: [describe problem] Use this structure: Step 1: [identify what is being asked] Step 2: [break down the relevant facts or constraints] Step 3: [apply the reasoning or calculation] Step 4: [verify the intermediate result] Final answer: [concise conclusion] If you are uncertain at any step, state that explicitly.
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
When should I use chain-of-thought?
Use it for math, logic, multi-step decisions, or whenever accuracy matters more than speed.
Does it increase response length?
Yes. The trade-off is better reasoning and easier verification of the answer.
Last updated:
