Everyone rents intelligence by the token. What if you owned the whole stack?
Own the model. Own the stack.
The default path is a frontier API. It is easy to start, it meters you by the token, and it 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 whole stack. A harness that runs any open model, with memory, tuning, evaluation, fast inference, a research agent, and the security to run it all offline. Or build your own model. This briefing is a working blueprint for that path, and for 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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