The Deterministic Core vs Wattfare

The Deterministic Core: A Fixed Foundation for AI Collaboration, by Brandon Bell.

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About The Deterministic Core

The Deterministic Core: A Fixed Foundation for AI Collaboration, by Brandon Bell. The engineer patches a defect, runs an audit, receives a score. They are measuring distance, from each model's internal, implicit, and mutually inconsistent standard of completeness. The surface area of "not quite done" expands faster than it can be closed. The model cannot recognize completion, not because the build is incomplete, but because completion is not a state the model's architecture can represent.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.