Model and Agent Co-evolution

Each layer of guardrails in Harness (context compression, retries, pessimistic rights) pins a place where the model is still unstable.

When the next generation of the model internalizes the constraint—the code is removed; and the ability to internalize arises because the agent has driven through these potholes in real business, and it settles as a training signal.

The flywheel:

user puts forth a task → Harness fills in the missing → patches become signal for the next model iteration

The answer to “will the model swallow Harness”: yes, layer by layer, but swallowing will never complete—training takes months, business does not; there is always the freshest frontier, and each new generation of model unlocks a new one.