Governed seam

The Thin Model Layer Router

One governed layer in front of many models. Compose a task and watch it routed by rule, logged with provenance, and swappable without touching the app. No model is called here: the seam returns a simulated result so you can see the pattern.

Task type
Sensitivity
Cost tolerance

What this shows. You cannot out-vary a frontier model, so you give it less room. Deterministic rules bound the choice, sensitive work is forced onto the sovereign path, and everything flows through one seam you can log, evaluate, and swap. That is sovereignty as control.

Routing decision

Waiting for a task

Send a task to see which rule fires.

runModel() output will appear here.

Calling code (never changes)

result = modelLayer.run(task) // the app never names a model

Swap any model below and this line stays exactly the same.

Provenance log

No tasks routed yet. Send one, and every routing decision is recorded here.

Placeholder model names, synthetic tasks, simulated output. This shows an architectural pattern, not any live system.

Paired with the article Doing More With Less Is a Trap.