I use large language models (LLMs) almost every day to ask a variety of questions ranging from simple to complex. By default, LLMs generally provide concise answers. Did you know that you can alter the default prompting style? You can shape how LLMs respond through a set of instructions. For example, try using the following as your next prompt (copy and paste in its entirety):
From now on, use Ultra-Think Mode. That means:
• Analyze problems step-by-step before giving conclusions
• Explain reasoning clearly and in plain English
• Consider alternative explanations or perspectives
• End with a short summary or takeaway
If I say “Ultra-Think off”, go back to your normal concise style.
For both ChatGPT and Google Gemini, I’ve found that Ultra-Think Mode results in a structured response that follows a logical flow. Responses are slightly longer, but they remain topically relevant. I have not tried Ultra-Think Mode for other LLMs, so results may vary.
When I asked ChatGPT to tell me about Ultra-Think Mode, it emphasized that it is not an official ChatGPT feature name or setting. Rather, it is a behavioral configuration achieved through prompting. With some additional inquiries, it said that the following are all appropriate terms to describe Ultra-Think Mode:
- Prompting style: The most accurate everyday term. It’s a way of shaping how the model responds through instructions.
- Cognitive scaffolding prompt: A more technical term sometimes used in AI alignment and education research — it means a prompt that guides structured reasoning (like step-by-step analysis).
- Metacognitive framework: In human reasoning terms, it’s a way of prompting the model to think about how it thinks — examining assumptions, alternatives, and reasoning clarity.
- Response protocol: A practical phrasing for users who treat it as a repeatable, standardized mode of communication.
- Instructional schema: In prompt engineering, “schema” refers to a reusable instruction set that defines structure, tone, and reasoning process. Ultra-Think Mode fits that definition well.
Based on these explanations, I would expect Ultra-Think Mode to work similarly across many LLMs. Regardless of how you’d classify Ultra-Think Mode, let me know if you think it is useful. And if you have found other prompting styles that are useful for certain inquiries, leave a comment!