AI Transformation as
System Redesign.
You are not adopting a tool. You are rewriting how the work works.
Roles, ownership, language, data, decision cycles. Most AI programs fail somewhere other than the model — they fail at the level of the activity itself.
Founders, product leaders, and small teams designing the operating models that come next.
Strategic Field Notes and weekend-buildable Product Seeds — no fluff, no playbooks recycled from 2019.
One long-form essay every other week. Subscribe to get it before it hits the archive.
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The Product
Frameworks Map.
Every framework a product person reaches for — on one navigable canvas.
A living atlas of 60+ frameworks across Thinking, Communication, and Action — organised by five levels from ontology to operation. Click any node to open its definition, core question, and where it fits in the loop.
- 01Three colour-coded domains so you can see what the framework actually does.
- 02Deep cards for each framework — author, core question, when to use, when not to.
- 03Shareable URLs per framework — bookmark, link, send to your team.
In the archive
All Field Notes →
Good Answers Don't Change What You Do.
Thirty-nine model calls against one. Two things survived, and both are free.
The AI Landscape 2026.
Ten layers from foundation models to enterprise harness — and a vocabulary for choosing.
From Pain Points to Activity Gaps.
Don't start with the idea. Start with the unfinished activity — and the missing means that closes it.
Resumes Are Too Thin.
The AI-native twin of job boards is not a better job board. It is a capability market.