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Model layer

Local and hosted models behind one gateway. Swap a model without touching an agent.

The Model layer is the intelligence. It is also the layer most likely to change under you, which is exactly why it is a layer and not a dependency.

What it holds

Swapping a model

Because agents and skills talk to the gateway and never to a provider, changing the model behind a task is a routing change. Architect makes it, re-runs the evals, and reports the difference. No agent is edited; no skill is rewritten.

Token use tied to outcomes

Every request through the gateway is attributed to a build, an outcome and a session. You can see what each outcome costs in tokens and compare it with the value delivered. Token spend that does not trace to an outcome is the first thing we look at.

What it never does

Why it matters

"We bought a SaaS AI in Q1 built on a model that already feels out of date, but we have invested so much time in it." We hear it constantly. In Adam AI the model is a component you change, not a foundation you are stuck on.

Related: Architect.