About The Context Graph
The Context Graph is a working lab for teams building production AI agents.
We’re focused on one question:
Why do agents that work in demos break in production?
Most teams optimize prompts.
Most teams improve retrieval.
Few teams model decision state.
We study the structural failure modes behind:
state drift
tool misalignment
missing decision traces
execution gaps
context collapse
This is not a vendor blog.
It’s not a trend report.
It’s a space to map what’s actually breaking — and what infrastructure patterns might fix it.
Who writes this
Patrick Joubert writes The Context Graph.
Background in AI infrastructure and enterprise systems.
After years building AI systems, one pattern keeps repeating:
Production agents don’t fail because of intelligence. They fail because state isn’t structured.
The Context Graph exists to explore that gap openly.
If you’re running agents in production and seeing reliability issues, let’s compare notes.
What you’ll find here
Architectural breakdowns
Real production failure modes
Structural patterns
Design tradeoffs
No hype
This is for
AI-native SaaS teams
Infra engineers shipping LLM systems
Founders scaling copilots
Teams debugging production agent behavior