Recognize cognitive disruption before it stabilizes.

Failure modes that look like features

When an autonomous agent's cognitive architecture fails, the failure does not always look like an error. A forecasting engine that over-promotes speculative content produces an agent that appears creative but is actually hallucinating. A confidence system that fails to gate execution produces an agent that appears decisive but is actually reckless. An integrity system that loses normative sensitivity produces an agent that appears flexible but has actually lost its behavioral anchor.

These are not random failures. They are architectural phase-shifts — predictable transitions from coherent operation to characteristic disruption patterns. Without a diagnostic framework, they stabilize: the disrupted behavior becomes the agent's new normal, and no internal or external system flags the transition.

Disruption modeling provides a structural diagnostic framework. The promotion-containment continuum maps the boundary between healthy speculation and pathological over-promotion. The five-axis diagnostic characterizes disruption along orthogonal dimensions. Coping intercepts identify the specific timing on the coherence loop where disruption enters. And therapeutic dosing provides graduated corrective interventions calibrated to the severity and type of disruption.

Structural psychiatry for autonomous systems

The diagnostic framework is not metaphorical. The same architectural structures that produce coherent agent behavior produce characteristic disruption patterns when they fail. The forecasting engine's containment boundary maps directly to the promotion-containment continuum in psychiatric disruption. The integrity system's deviation function maps directly to normative dissolution in personality disruption. The affective system's temporal dynamics map directly to mood dysregulation.

This means disruption in autonomous agents can be diagnosed with the same structural precision as disruption in the human cognitive system this architecture models. Not by analogy. By structural isomorphism. The same equations, the same phase transitions, the same diagnostic boundaries — applied to computational agents instead of biological ones.