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Notes

What I'm reading, building, and thinking about. Mostly agentic AI.

The tree

How the writing is organised. Branches with nothing in them yet are shown greyed out — that's the shape I'm working towards, not a claim that it's filled.

How the work actually gets done: harnesses, skills, tool boundaries, and where the human stays in the loop.

Treating agent systems as graphs — what the nodes are, what the edges carry, and which shape survives contact with a real task.

Nodes are agents or steps, edges are control flow. Fan-out, fan-in, handoffs, supervisors, and stigmergic alternatives to all of it.

Knowledge Graphs & GraphRAGnothing here yet

Entities and relations as the retrieval substrate. Traversal instead of similarity, and when that trade is worth making.

Context Graphsnothing here yet

What each node in a system is allowed to see. Assembly, compaction, and the shape of what gets handed down.

Voice UInothing here yet

Talking to software instead of typing at it — latency, turn-taking, and why voice agents are harder than the demos suggest.

The evergreen explainers. What agentic AI is, why agency is the shift that matters, and how much of it to hand over.

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