Everyone rents intelligence by the token. What if you owned it?
Frontier when you must. Local for the rest.
The default path is a frontier API. It is easy to start, it meters you by the token, and it quietly sends your data out of the building on every call. For a demo, that is fine. For the bulk of real work, it is an expense that never ends and a dependency you did not choose.
What is underserved is the other path. Owning the stack. Open-weight models on your own hardware, with the memory, training, and evaluation around them. This briefing is a working blueprint for that path, and for knowing the thin slice of work that still belongs on the frontier.
The answers are in the presentation above. Play the briefing, about six minutes.
This is what the work looks like. The next one could be yours.
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