Study Systems
AI note taking workflow for lectures and readings
Use AI to turn raw notes into reviewable material while keeping source verification intact.
The goal of AI note taking is not a prettier transcript. The goal is a note that helps you answer future questions faster.
Step 1: Capture before cleanup
Write rough notes during lecture or reading. Do not ask AI to summarize something you have not processed at all.
Step 2: Structure the note
Ask AI to separate definitions, claims, examples, procedures, formulas, and questions. This turns raw material into a study surface.
Step 3: Add retrieval questions
For each major section, ask for a question that tests use rather than recognition. Keep only questions you could imagine on an exam.
Step 4: Verify sources
Mark anything not clearly supported by the lecture, reading, or textbook. A fluent note is not automatically a correct note.
Step 5: Compress weekly
Move the strongest questions and traps into a weekly review. Delete filler.
Use the prompt pack for the AI prompts and the weekly review template for the review cadence.