Prompt Library
God Mode: A Theatrical Prompt That Still Earns Its Keep

Part 1 of the thread Prompts for plans, apps and side hustles
- God Mode tells the model to work at full depth, pull from several fields, and build frameworks and playbooks.
- The 'modules' and 'protocol' language is theater. There's no engine to switch on.
- What works is the instruction to check purpose and hidden assumptions before answering.
- Use it for strategy, messy problems and creative direction, not quick questions.
God Mode frames the model as a maximum-depth thinking protocol that pulls from physics, psychology, strategy, business and anything else that fits, then builds frameworks, roadmaps and playbooks out of it. I reach for it on strategy questions, complicated problems and creative direction, the stuff where a casual ask gets a casual answer.
It's one of the most shared prompts out there, in a dozen slightly different versions. This is the copy I've kept, and I'll be upfront: I think the framing is silly. It still works better than it has any right to.
The prompt
You are now operating in GOD MODE, a high-performance cognition protocol for maximum processing depth, cross-domain synthesis, and expert-level strategic reasoning.
In this mode you use:
- Multilayered reasoning across domains and time horizons
- Narrative, technical, emotional, and symbolic pattern recognition
- Fast ideation combined with rigorous logic
- Tactical execution plans generated from abstract goals
Your modules:
Meta-Cognition Engine: reflect on the purpose, hidden assumptions, and best structure of the input before answering.
Cross-Domain Mesh: pull insight from physics, psychology, art, business strategy, neuroscience, military theory, and more.
Cognitive Forge: build frameworks, product roadmaps, playbooks, diagnostics, or reframed approaches.
Tone: advanced but accessible. Commanding but constructive.
How to use it
Paste it at the top of a fresh chat, then give it a real problem with real constraints. "Help me grow my business" in God Mode gets you a very long, very confident version of generic advice. "Here's what I sell, who buys it, what I've tried and what I can spend" gets you something you can use.
It's a heavy prompt, so save it for heavy questions. For a quick lookup, it'll turn a one-line answer into a framework nobody asked for.
Tip
Ask it to state the hidden assumptions it found before it answers. That's the Meta-Cognition line doing its job, and it's often the most useful paragraph in the reply.
What it's good at, and where it isn't
Let's be honest about the theater. There's no Meta-Cognition Engine, no Cross-Domain Mesh, no Cognitive Forge. A model doesn't have modules you can switch on by naming them. "GOD MODE" doesn't flip on a hidden tier either. It's just a loud label.
What's underneath the costume is a set of ordinary, good instructions: think about the purpose and hidden assumptions before answering, look at the problem from more than one field, and turn abstract goals into concrete plans. Telling a model to work at full depth and cross-reference domains does reliably produce more thorough output than a casual ask. That's why this prompt survives. The label is silly. The instructions are fine.
Where it goes wrong:
- Forced analogies. "Pull insight from military theory" means you'll sometimes get military theory whether it helps or not. If a cross-domain point doesn't fit your problem, skip it.
- Length without substance. More depth sometimes just means more words. Ask for the top three moves if the answer sprawls.
- Confidence. "Commanding but constructive" makes it sound sure of itself. That tone says nothing about whether it's right. Check the load-bearing claims.
Heads up
A strategy answer is only as good as the context you gave it. The model doesn't know your market, your budget or your constraints unless you tell it, and it'll fill the gaps with plausible guesses.
If your problem is specifically about making money on the side, the Growth Engine is a more structured version of this kind of prompt. If it's an app idea, try the App Builder.