Autonomous runs you can steer and stop

Give the agent a goal — “keep the CRM clean”, “ship the monthly update” — and it breaks the objective into concrete tasks with order and dependencies, then works the plan. As tasks complete or conditions change, it re-sequences and continues toward the objective rather than waiting for the next instruction.

Nothing about the plan is a black box: you can see how the objective became steps, how far each step has moved, and the reasoning behind each move — all on the record.

• Objectives broken into concrete, ordered tasks with dependencies
• The plan adapts as work completes and context shifts
• Every step and its reasoning is visible

Goals can run on schedules: recurring jobs, deadline-driven work, and background progress that continues while you are offline. A scheduled run behaves exactly like an interactive one — same memory, same tools, same gate — it just starts itself, works the next tranche of the plan, and leaves its trail in the activity feed for the morning.

This is where governed autonomy earns its keep. An overnight run that reaches a risky action does not improvise: the call becomes a pending proposal, the run blocks, and the work resumes the moment you decide — approval is a wake-up signal, not a lost thread.

A running goal is not a black box you wait out. Send a message and the instruction folds into the work in flight — add a constraint, change priorities, correct a wrong turn — without restarting. Tell it to stop and it stops immediately, along with everything it set in motion.

And because outward actions still pass the approval gate, “autonomous” never drifts into “unaccountable”: the run is free to plan, gather, and draft at full speed, and held to a human decision at exactly the moments that touch the world.

• Redirect work in progress with a message — no restart
• A stop command halts the run and everything it spawned, immediately
• Mutation-capable actions still become proposals, even mid-run