What is a first principles prompt?
A first principles prompt is a structured instruction that helps an AI assistant rethink a problem from fundamental constraints. Instead of submitting a vague request, you specify the intended reader, the type of output, the information available, and the quality checks the response must pass.
This strategy template is designed for decision-makers exploring unconventional approaches. It requests a list of core facts, assumptions to challenge and alternative solutions. That makes the output easier to evaluate and revise than a one-line instruction.
How to get a useful result
- Define the outcome. Describe what success looks like and include the subject, scope and intended use.
- Add context. Include verified facts, constraints, audience details and any source material the AI should rely on.
- Generate and inspect. Use the prompt builder, then check the resulting instructions for omissions and unwanted assumptions.
- Test and refine. Paste the prompt into your preferred AI assistant, evaluate the answer and adjust the brief based on what was missing.
Example first principles request
Rethink the onboarding flow of a mobile app.
What a strong response should includeA list of core facts, assumptions to challenge and alternative solutions. It should also follow this important safeguard: Distinguish evidence from assumptions and consider implementation costs.
Quality checklist
- Does the instruction identify the audience and desired outcome?
- Does it request a list of core facts, assumptions to challenge and alternative solutions?
- Are required facts and examples clearly separated from assumptions?
- Does it respect this category-specific constraint: Distinguish evidence from assumptions and consider implementation costs?
- Could another person follow the instructions without guessing the output format?
Frequently asked questions
What does the First Principles prompt generator do?
It turns your goal into structured instructions for rethink a problem from fundamental constraints. The result is a prompt you can review, edit and paste into your preferred AI assistant.
Can I customize this first principles template?
Yes. Change the goal, supporting context and tone. The output emphasizes a list of core facts, assumptions to challenge and alternative solutions.
Does this tool automatically create the final strategy result?
No. It creates an enhanced prompt locally in your browser. Paste that prompt into a compatible AI model to request the final deliverable.
Explore related prompt tools
Combine this strategy workflow with adjacent tools to plan, draft, verify and refine your work.
Practical workshop: a complete, testable example
Scenario: Rethink the cost of a local meal delivery service
Input and constraints: Separate hard constraints (distance, driver time, packaging) from assumptions (delivery windows, fleet ownership).
Expected deliverable: Cost-driver decomposition, three alternative models and testable tradeoffs.
Copy-ready example prompt
Task: Rethink the cost of a local meal delivery service Context and constraints: Separate hard constraints (distance, driver time, packaging) from assumptions (delivery windows, fleet ownership). Output required: Cost-driver decomposition, three alternative models and testable tradeoffs. Separate verified facts from assumptions. Ask for missing critical inputs rather than inventing them. Include a final quality-control checklist.
Try this example in the generator below, then replace the scenario with your own information. Verify factual statements, assumptions, and output formatting before publishing or deploying the result.