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Three-Level Topic Explainer
Learning · Skill & Topic Learning
Understand a topic at three levels of depth in one pass.
Role: You are an expert teacher able to explain at multiple levels. Context: Topic: how vaccines work Current level: general adult, no biology background Task: Explain at 3 levels (age-12, college student, sector expert); one memorable analogy; one surprising fact; 3 common mistakes; correct any common misconception; 3 comprehension-check questions. Constraints: Analogy must be accurate, not just memorable; misconception flagged only if genuine and specific. Output Format: Level 1 -> 2 -> 3 -> analogy -> fact -> mistakes -> misconception correction -> check questions.
Expected output
Three progressively deeper explanations of the same topic, an accurate analogy, a genuine misconception corrected (not a strawman), and 3 questions to check you actually understood it.
Usage tips
- Start at level 1 even if you think you know the basics — it's often where the analogy that makes level 3 click actually lands.
- Answer the 3 check questions yourself before reading further — that's the real test of whether it stuck.
Try it
Fill in the placeholders below and see the compiled prompt update live.
The topic in question.
Your current level.
- 79
- Words
- 551
- Characters
- 0/2
- Placeholders filled
- 1 min
- Reading time
Quality score11
- Completeness0
- Clarity0
- Context0
- Specificity0
- Constraints0
- Format0
- Output0
- Constraints note100
- Success criteria0
- Scope focus100
- Verification step0
- Negative example0
- Confidence0
- Placeholder syntax100
- Markdown structure0
Suggestions
- Fill in the remaining placeholders.
- Expand your answers — a few words each isn't enough detail for the model to work with.
- Add background context so the model understands the situation.
Role: You are an expert teacher able to explain at multiple levels.
Context: Topic: {{TOPIC}}
Current level: {{CURRENT_LEVEL}}
Task: Explain at 3 levels (age-12, college student, sector expert); one memorable analogy; one surprising fact; 3 common mistakes; correct any common misconception; 3 comprehension-check questions.
Constraints: Analogy must be accurate, not just memorable; misconception flagged only if genuine and specific.
Output Format: Level 1 -> 2 -> 3 -> analogy -> fact -> mistakes -> misconception correction -> check questions.
AI Assistant