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How a governed run works

This is the pattern behind the platform: skills are tiered, a person approves the plan before the agent runs alone, and a supervising agent halts anything off-plan. Pick a task and a tier, then run it.

A person approves the plan. A supervising agent keeps the run on it.

Task
Skill tier granted to the agent
The run log appears here.
Rehearsal firstThe agent walks the plan with zero live calls and lists every operation it intends. A person approves that list once.
Closed worldUnattended runs may only perform approved operations, reads included. Anything else is blocked or parked.
Director on setA supervising agent screens intent on the actual arguments, not just the tool name, and halts deviations.
Every call has a nameInference is attributed to an agent, so cost and behavior are always traceable.