Guides
Long-form playbooks, one for each question teams get stuck on before they build. Each guide walks through the decisions in order, with a worked example labelled by where it comes from, a checklist you can use on your own product, and the service that does it with you.
All guides
Working with a white-label AI partner
For design, brand, marketing and development agencies whose clients want AI work: what stays with you and what moves to the partner, how to scope a request before you quote it, keeping the partner invisible, the contract terms that protect the client relationship, and how to know the work will hold up.
Building an AI venture beside a family business
How an established business builds an AI venture on what it already holds: map the assets, decide whether there's a venture at all, set it up beside the core business with its own decisions, test it with your own customers, and launch it with a named owner.
Launching features people notice
Why good features go unnoticed, and how to launch the moment instead: find when the feature matters, tell it on the Narrative Spine, ship it with proof, package it for every channel and for AI search, and keep doing it every month.
How to scope an AI product before you build it
The seven decisions to make before anyone designs a system: the buyer and the moment that changes, success and the stop line, the data, where a model earns its place, the first release, the constraints, and how you'll know it works.