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context-graphs

3 articles

The Context Graph Is Missing a Layer
Deep Dive context-graphs enterprise-ai

The Context Graph Is Missing a Layer

Foundation Capital calls context graphs a trillion-dollar opportunity. But the thesis has a blind spot: it models what organizations know, not what individual users believe, understand, or need. The epistemic layer is the missing piece that turns context infrastructure into personalization infrastructure.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 15 min read
Context Graphs Will Commoditize. User Models Won't.
Deep Dive context-graphs strategy

Context Graphs Will Commoditize. User Models Won't.

Infrastructure commoditizes. Every technology wave proves it. Context graph capabilities like entity extraction, relationship mapping, and graph traversal are already converging across vendors. What does not commoditize is the interpretation layer: understanding what data means for each specific user. User models are the durable moat.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 13 min read
Reification Is the Right Idea, Applied to the Wrong Thing
Deep Dive context-graphs reification

Reification Is the Right Idea, Applied to the Wrong Thing

TrustGraph brought reification to the context graph discourse: metadata on relationships. Powerful concept. But reification applied to user beliefs, not just organizational knowledge, unlocks alignment scoring, belief drift detection, and epistemic intelligence.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 13 min read

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