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context-engineering

6 articles

Context engineering is the practice of structuring what information an AI system receives. But most context engineering ignores the user layer entirely — treating all users as interchangeable.

Essential reading
Context Engineering Needs a User Layer
Opinion context-engineering self-models

Context Engineering Needs a User Layer

Context engineering has become the dominant paradigm for building with LLMs. But the entire discipline is missing a critical layer: persistent, evolving understanding of the human on the other end.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 9 min read

All articles
Context Engineering Without the User Layer
Opinion context-engineering ai-infrastructure

Context Engineering Without the User Layer

Context engineering enables AI systems to maintain persistent understanding across sessions without explicit user input layers.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 2 min read
Why Context Graphs Without User Models Are Just Fancy RAG
Opinion context-engineering RAG

Why Context Graphs Without User Models Are Just Fancy RAG

If your knowledge graph doesn't model the user, you built expensive RAG. Structure without user understanding serves everyone the same way.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 10 min read
From Context Graph to Context Intelligence
Opinion context-engineering architecture

From Context Graph to Context Intelligence

Context graphs are data infrastructure. Context intelligence adds reasoning about who consumes the data. The evolution from graph to intelligence requires a user understanding layer.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 8 min read
Context Graphs Miss the Epistemic Layer
Opinion context-engineering self-models

Context Graphs Miss the Epistemic Layer

Enterprise context graphs map relationships between entities. But they miss the most important context of all: what each user believes, knows, and needs. The epistemic layer is the missing piece.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 9 min read
Context Layer Problems Nobody Talks About
Opinion context-engineering RAG

Context Layer Problems Nobody Talks About

Your RAG pipeline retrieves documents. Your agent has a context window. But neither understands the user asking the question. The context layer gap that cripples AI personalization.
Robert Ta's Self-Model
Robert Ta's Self-Model
· 11 min read

Related topics
architecture (76) self-models (114) memory (6)

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