omk-industrial-control-loop

Agent orchestration loops require systematic stability analysis to identify missing stop conditions and runaway retries. Reviewing controller goals and feedback timing prevents oscillation and saturation, producing a structured loop diagnosis with explicit fixes.

State machine safety requires flagging ambiguous state transitions and ensuring a clear human override path. Reviewing the observed signals and actuator actions against the controller goals clarifies transitions and enforces explicit stop conditions to prevent unsafe fallbacks.

Agent workflows retry infinitely when they lack explicit stop conditions and proper feedback timing. Analyzing the controller goal, observed signals, and actuator actions identifies the runaway failure mode and recommends fixes to stabilize the loop.

Failure mode analysis is needed for feedback loops when agent workflows exhibit unstable behavior like oscillation, saturation, or unsafe fallbacks. Applying industrial-control inspired design principles identifies missing stop conditions and corrects ambiguous state transitions.

Control loop review for agent retry safety requires no dependencies. Providing the controller goal, observed signal, tool action, and feedback decision logic produces a structured diagnosis of failure modes and stop conditions directly.