How to split your stack into owned and rented layers on purpose, and which layer pays back the effort of owning it.
Strategy · Team · Legibility · Roadmap
Every product that calls a model is making a bet about ownership, whether the team knows it or not. This pack turns a frame that came out of founder workshops at Sequoia into a working method for deciding what parts of your AI you own, what you rent, and how you keep the whole thing honest.
The frame was built in a room of 80 founders and AI leaders working one question: how do you build your own AI stack from scratch? Sonya at Sequoia laid out four steps. Strategy, team, legibility, technical roadmap. The rest of the day tested them against real companies.
Who this is for: a founder shipping a product that depends on one API key, an investor trying to read the infrastructure layer, or a corporate leader holding an AI mandate with no build plan under it. If your answer to "what happens when the vendor goes down" is a shrug, start here.
How to split your stack into owned and rented layers on purpose, and which layer pays back the effort of owning it.
A routing layer that survives a vendor outage, and a ledger that tells you exactly what each call cost and why it failed.
The fine tuning treadmill, the single key company, and the failover that hides problems until they get expensive.
The details, the stack, the instruments, what goes wrong, two workflow maps, the reality check, a week of experiments and the sources. Yours for €29.