A good AI study guide should not blur what came from your notes with what the model guessed. The prompt should preserve unsupported claims, mark missing pieces, and end with questions you can use to test yourself.
Use this when
- You have scattered notes and need one review sheet.
- You want definitions, examples, and formulas separated.
- You need a study guide that flags missing or uncertain material.
- You want practice questions attached to each section.
Copyable starter prompt
You are making a study guide from my class material.
Use only the notes I paste. Organize the guide into:
1. core concepts,
2. definitions,
3. formulas or procedures,
4. examples,
5. common traps,
6. likely exam questions,
7. missing or unclear material.
For every section, include two retrieval questions and one application question. Mark anything that is not directly supported by my notes as "needs verification" instead of filling the gap yourself.What to review first
Do not treat the generated guide as finished. Start with the missing-material section, then the common traps, then the practice questions. Those three areas usually expose the highest-risk gaps faster than rereading the clean summary from the top.
For formula-heavy courses, ask the guide to separate when to use a formula from how to calculate with it. For reading-heavy courses, ask it to separate the author's claim from your interpretation.