Explainers
The things we end up explaining anyway.
Written for directors and owners who are being asked to make decisions about AI without having been given the vocabulary to make them. No hype, no jargon tax. Each of these started as something we wrote for a specific client conversation.
Why governance comes first
The question that stops most AI programs is not technical. It is whether anyone can say where the data went and who approved it.
FundamentalsWhat is a harness?
Why the same underlying intelligence behaves completely differently in different products — and why that difference, not the model, is what your governance actually cares about.
Context captureYour judgment is the asset
Your best thinking happens where you cannot write it down. The whole loop that fixes this stands up in about an hour.
ArchitectureYour context window is not a source of truth
Every AI assistant starts each session with a blank slate, and none of them can see what the others produced. A shared memory layer changes that.
Getting startedYour first lap
Three things to understand before you start, and the order to learn them in. Written for the person who has been handed a licence and no instructions.
Start here
Or skip the reading and book the hour.
Everything on this page is something we would happily walk you through in person. The Context Capture hour is the version where you leave with the thing built rather than described.