Zettelkasten Prompt: Convert Highlights into Atomic Notes
Convert highlights into a knowledge network: atomic notes with titles, tags, and connections that grow smarter over time.
Atomic Notes Explained
The Zettelkasten method β German for “slip box” β transforms reading highlights into a network of interconnected ideas. Unlike traditional notes organized by source, Zettelkasten notes are organized by concept, each containing exactly one idea that can stand alone.
An atomic note is a note with one idea. Not “notes from Chapter 3” or “thoughts on productivity” β but “Compound interest applies to skills, not just money” or “The planning fallacy emerges from inside view thinking.” Each note is self-contained, titled clearly, and linked to related concepts.
The power emerges from connections. When you add a note about cognitive biases, you link it to existing notes about decision-making, behavioral economics, and persuasion. Over time, your knowledge base becomes a web where unexpected connections surface β insights that wouldn’t emerge from linear, source-organized notes.
The Prompt: From Highlights to Network
The Cornell Notes prompt (C021) organizes information by source. This Zettelkasten prompt breaks free from source structure, creating notes that live independently in your knowledge network.
The prompt generates six elements for each atomic note:
Title: A clear, searchable phrase β not a sentence, not a question. “Feedback loops amplify small changes” works. “Chapter 3 β Key Insight” doesn’t. Good titles let you find and recognize notes instantly.
Core idea: The single concept in 1-2 sentences. If you need more, the note probably contains multiple ideas that should be split.
In my words: How you’d explain this to someone else. This forces processing beyond copy-paste highlighting. Your explanation is often more useful than the original quote.
Tags: 2-4 topic tags for finding related notes. Use consistent tags across your system: #decision-making, #psychology, #writing, etc.
Connects to: Other concepts this relates to. This is where the network forms. Link to existing notes in your system, or note concepts you haven’t captured yet.
Source: Where the idea came from. You may need to revisit the original context someday.
The “Connects to” field is the most valuable. Spend a moment thinking about what this idea relates to β that’s where compound knowledge growth happens. AI can suggest connections, but you’ll often see links AI misses.
Example: Highlights to Atomic Notes
Say you highlighted this from an article about habits: “Small changes in context produce large changes in behavior because they disrupt the automatic triggers that maintain habits.”
The Zettelkasten prompt converts this to:
Title: Context changes disrupt habit triggers
Core idea: Behavior is triggered by environmental cues. Changing context removes these triggers, making habit change easier.
In my words: When you change your environment β new city, new job, new morning routine β you break the automatic connections between cues and behaviors. That’s why big life changes are opportunities for habit change.
Tags: #habits #behavior-change #environment-design
Connects to: Environment beats willpower, Habit stacking, Implementation intentions
Source: [Article title, date]
This note now exists independently. You might link it to notes about environment design, about why New Year’s resolutions fail, or about designing workspaces for focus. The connections grow as your knowledge base grows.
Linking Notes: Where the Magic Happens
A note without links is just a note. A note with connections is a node in your thinking network.
Link to existing notes: When you create a new atomic note, scan your existing collection. What does this new idea connect to? Add bidirectional links β if Note A links to Note B, Note B should also link to Note A.
Link to concepts you haven’t captured yet: Sometimes you’ll realize “this connects to X” but you don’t have a note on X. Create a placeholder link. Later, when you encounter X in your reading, you’ll discover it already has incoming connections.
Use link types sparingly: Some systems distinguish “supports,” “contradicts,” “relates to.” This adds overhead. Start with simple links, add complexity only when simple linking fails you.
The Reading Journal Prompts (C024) can help you reflect on how new notes connect to your existing knowledge before you finalize links.
Not every highlight deserves a permanent note. Ask: “Will I think with this idea in the future?” If yes, create the note. If it’s just interesting context, leave it as a highlight. Quality over quantity β a focused network beats a cluttered archive.
Tools and Systems
Obsidian: The most popular choice for Zettelkasten. Native bidirectional linking, graph visualization, and local markdown files. Start with a “Zettelkasten” folder and use [[double brackets]] for links.
Roam Research: Built specifically for networked thought. Automatic backlinking and daily notes integration. More expensive, browser-based.
Notion: Works with @-mentions for linking, though less native than dedicated tools. Good if you’re already in the Notion ecosystem.
Physical cards: The original method. Index cards with IDs, stored in a physical box. Surprisingly effective if you prefer analog.
Explore more memory systems in the Notes & Memory pillar or return to the AI for Reading hub.
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