AI Tutorial Workflow

An interactive AI learning workflow that turns your coding agent into a personal technical tutor—complete with source-verified explanations, structured note-taking, active-recall quizzes, and continuous self-improvement.

Workflow

1. Ask a Concept or Share a Resource
   ├─ Technical question → Verify claims against primary sources (research_methodology.md)
   └─ External URL / video → Extract & process source material (skills/link_handling.md)
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2. Interactive Deep-Dive & Explanation
   └─ Adapt explanation depth and analogies to your preferences in PROFILE.md
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3. Structured Note Capture (skills/note_taking.md)
   └─ Distill verified concepts, mental models, and examples into notes/YYYY-MM-DD-topic.md
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4. Active Recall Quiz (skills/quiz.md)
   └─ Test understanding through recall, application, and scenario-based questions
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5. Session Wrap-Up & Ratchet Check
   ├─ Audit workflow gaps via Conservative + Progressive dual reviewers (skills/qa_council.md)
   └─ Save session state to logs/session_handoff.md for seamless continuation across sessions

Operation

1. Configure Profile: Fill in your background and learning preferences in PROFILE.md.
2. Start Learning: Ask any AI/tech question or paste a link to begin an interactive study session.
3. Save Notes & Quiz: Ask the agent to save structured notes to notes/ and run a comprehension quiz.
4. Wrap Up: Say "wrap up" (or "收尾") at the end of a session to update logs/session_handoff.md and trigger the QA ratchet check.