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Task based model routing and cost governance

Selects models by task policy, enforces privacy before transport, validates every result, bounds repair, and attributes every attempt and tenth of a cent.

When to use it
Different AI tasks have different quality, privacy, speed, and cost requirements.
Expected outcome
Better control of model spend and routing, with each result checked and its quality, latency, and cost visible.
SYSTEM PORTRAITSwitchboard
TASKPOLICYROUTERVALIDATE + TRACEFASTDEEPPRIVATEVISIONQUALITY / LATENCY / COST ATTRIBUTED

Switchboard is the routing and cost layer for production AI. Applications describe the task, schema, sensitivity, latency, and quality floor without naming a model. The registry chooses the least expensive qualified route, privacy rules run before transport, and every result is checked against observable evidence. Repair is bounded and uses an alternate model family. The answer returns with a complete trace of quality, latency, and cost.

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