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control theory

An approved goal drives an AI controller and target system, with verified outcome feedback and external governance, policy, identity, and stop controls.

AI Feedback Loops: Cybernetics and Control Theory for Agents

Published September 16, 2026 by Paul Bryant

Design agent feedback around goals, observations, bounded actions, verification, and correction. Use control-theory concepts to examine stability, observability, and the limits of automation.

Categories AI Tags Agentic AI, AI Governance, control theory, feedback loops, observability, reinforcement learning Leave a comment
Retry requests pass an execution gate backed by approved intent, current authority, stop controls, durable state, action budgets, and controller ownership.

AI Agent Stability: When Retries Become the Incident

Published September 12, 2026 by Paul Bryant

Prevent retries and corrective actions from amplifying an incident. Define retry ownership, finite budgets, stabilization rules, and reconciliation for actions whose outcomes remain unknown.

Categories AI Tags Agentic AI, AI Governance, automation, control theory, feedback loops, Kubernetes 1 Comment

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