Knowledge Graph

Your knowledge graph is a living map of your expertise. Every capture adds nodes and connections, and over time the graph reveals the structure of your practice — patterns, relationships, and insights you may not have seen on your own.

How the graph works

Each knowledge atom extracted from your captures becomes a node in the graph. Relationships between atoms create edges. The more you capture, the denser and more valuable the graph becomes.

Node types

• Concepts — Abstract ideas, principles, theories
• Techniques — Specific methods, processes, procedures
• Materials — Physical substances, tools, equipment
• Outcomes — Results, observations, measurements
• Conditions — Environmental factors, constraints, dependencies

Relationship types

• USES — A technique uses a material or tool
• PRODUCES — A process produces an outcome
• CAUSES — One condition causes another
• REQUIRES — A technique requires a prerequisite
• EVOLVES_TO — A method evolves into a refined version
• CONFLICTS_WITH — Two approaches that contradict each other

Searching your graph

Use natural language to query your knowledge. Ask questions like:

• "Why did the glaze crack in the last firing?"
• "What techniques work best for low-fire clay?"
• "How has my approach to student feedback changed?"

The system traverses your graph to find relevant atoms and synthesize an answer grounded in your own knowledge.

Weekly synthesis

Every week, Private Language analyzes your recent captures and generates a synthesis report. These reports surface emerging patterns, forgotten threads, and connections across your practice.