Connect schemas into navigable knowledge structures.
Individual atoms of knowledge become powerful when linked into a navigable structure.
Concepts are nodes and relationships are edges — together they form a graph.
Your externalized thoughts are the raw material for a knowledge graph.
Relationships between ideas deserve as much attention as the ideas themselves.
A link labeled causes is more useful than a generic link labeled related.
When A links to B, B should know that A links to it — bidirectional linking reveals hidden patterns.
A densely connected area of your graph represents deep understanding.
An idea connected to nothing else is either missing links or not worth keeping.
Nodes with many connections are core concepts that deserve extra attention.
Ideas that link separate areas of your knowledge graph are especially valuable.
Following connections through your knowledge graph generates new insights.
The shortest route between two seemingly unrelated ideas shows how they connect.
Natural groupings in your knowledge graph show you what you know most about.
Areas where connections should exist but do not indicate knowledge gaps.
Add new nodes and edges daily and the graph becomes increasingly powerful over time.
Periodically review and clean your graph — remove dead links and add missing connections.
Seeing your knowledge graph visually reveals structures that lists and outlines hide.
Filing systems come and go but a well-linked graph retains its value regardless of how you browse it.
A well-structured personal knowledge graph becomes an input that AI can leverage.
Your externalized knowledge graph is a functional extension of your biological cognition.