Taking Notes
What is the most effective way to take actionable notes?
Start with Pen and Paper. Taking notes by hand promotes reframing the content which assists comprehension and retention.
Start with goal or set a question to answer
Systemizing Insights
Organize notes into easily digestible summaries.
Always start on paper. Then map out.
- Key objectives
- State changes and influences
- What core concepts/principles
- Capture unfamiliar concepts/vocabulary (Record time)
- Capture topics where elaboration required
- Write down questions
- Draw connections
Semantic Tree
Build a Semantic Tree by first focusing on understanding the trunk and big branches of knowledge so you have a schema for the leaves/details to hang on.
For example, first skim chapter outlines or watch a video on double speed with loose curiosity. When you find a word or phrase you don't understand, write it down but don't dwell on it.
Once you have skimmed through everything quickly (can be multiple passes), seek to understand those unfamiliar concepts before reading or watching in depth. The Knowledge Schema method shows how to map a new domain against one you already own — accelerating which branches deserve deep attention.
Digitalisation
Digitize paper notes to evolve your digital knowledge schema
- Create a document page(s)
- Quantify gaps or value in spreadsheets
- Extract heuristics and make them memorable
- Create ANKI flashcards referring back to page here
Create digital drawings using standard components to grow and share knowledge.
- Convert notes into components
- Connect the dots with comments on relationships
- Copy components to create different diagrams
Add page for the subject
- Link page to diagram
- Link to related concepts that add context
The better your notes the faster you'll learn.
Your Voice
AI assists note-taking at speed. The cost: notes generated by an AI assistant converge toward the average of everything it has read — not your synthesis.
An agent can re-research any topic. It cannot re-think your thought.
The discipline is knowing which notes belong to which category:
| Type | Who maintains it | Characteristic |
|---|---|---|
| Storage | Agent-maintainable | Could have been written by anyone reading the same sources |
| Synthesis | Human-owned | Requires your specific prior experience to make sense of |
Storage is valuable as foundation. Synthesis is irreplaceable — it is the note only you could write. When the two are mixed without distinction, agents update synthesis as though it were storage. The thinking gets averaged out over time even when each individual session feels productive.
Graduation Mechanism
When AI contributes to your notes, build an explicit step between "generated" and "permanent":
- Review agent-generated summaries
- Mark notes that accurately represent YOUR thinking as protected — off-limits to future agent updates
- Leave the rest updatable as new sources arrive
Without this step, the system converges toward the average. With it, two compounding layers develop simultaneously: agent-speed coverage and human-owned conviction — each growing without crowding out the other.
The synthesis layer is where graduation matters most. Cross-domain connections, predictions, hard-won corrections to previous beliefs — these are the notes that cannot be recovered if overwritten. Protect them explicitly.
Context
- Meta-Learning Pipeline — The 8-step cycle where note-taking sits between Capture and Filter
- Knowledge Schema — How to map a new domain against one you own — determines which branches deserve deep notes
- Research — What research produces that needs capturing and protecting
- Matrix Thinking — Empty cells in a matrix are the research targets notes should fill
- Mission Loop — One gap, one bound, one artifact — note-taking in a single session
Links
Questions
What is the difference between notes you take and notes you actually use?
- At what point do better notes become a way of feeling productive without doing the work?
- Which note-taking habit increases your learning speed — and which one just increases volume?
- How would your notes look different if their purpose was to be read by you in 5 years?
- Which of your notes could an AI have written — and which could only you have written?
- Where is your synthesis, and is it protected from being updated into the average?