What is a feynman explainer prompt?
A feynman explainer prompt is a structured instruction that helps an AI assistant teach a complex idea in simple terms. 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 education template is designed for curious beginners learning a new concept. It requests a plain-language explanation, analogy, worked example and knowledge check. 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 feynman explainer request
Explain how public-key encryption works to a teenager.
What a strong response should includeA plain-language explanation, analogy, worked example and knowledge check. It should also follow this important safeguard: Avoid oversimplifying critical distinctions and define unfamiliar terms.
Quality checklist
- Does the instruction identify the audience and desired outcome?
- Does it request a plain-language explanation, analogy, worked example and knowledge check?
- Are required facts and examples clearly separated from assumptions?
- Does it respect this category-specific constraint: Avoid oversimplifying critical distinctions and define unfamiliar terms?
- Could another person follow the instructions without guessing the output format?
Frequently asked questions
What does the Feynman Explainer prompt generator do?
It turns your goal into structured instructions for teach a complex idea in simple terms. The result is a prompt you can review, edit and paste into your preferred AI assistant.
Can I customize this feynman explainer template?
Yes. Change the goal, supporting context and tone. The output emphasizes a plain-language explanation, analogy, worked example and knowledge check.
Does this tool automatically create the final education 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 education workflow with adjacent tools to plan, draft, verify and refine your work.
Practical workshop: a complete, testable example
Scenario: Explain HTTPS to a curious 12-year-old
Input and constraints: Use a sealed-envelope metaphor; distinguish encryption from website trust and avoid claiming perfect security.
Expected deliverable: Plain-language explanation, analogy limits and three comprehension questions.
Copy-ready example prompt
Task: Explain HTTPS to a curious 12-year-old Context and constraints: Use a sealed-envelope metaphor; distinguish encryption from website trust and avoid claiming perfect security. Output required: Plain-language explanation, analogy limits and three comprehension questions. 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.