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Human in Control.

Not Human in the Loop.

The industry has a phrase for human oversight of AI: human in the loop. It treats you as a checkpoint at the end. The agent does the work. You approve the output. The loop closes.

That works fine for small, occasional decisions. It collapses at scale. Three agents shipping in parallel, twenty clarifications open at once, fifty diffs to review, and the loop becomes the bottleneck. The human becomes a rubber stamp on decisions they never saw being made.

A factory doesn't work that way. A factory has a director.

Human in Control (HIC) means you direct the work, not just approve it. Lit Factory is built on that distinction.

What HIC looks like in Lit Factory

You choose the responsibility before delegating. Set the autonomy mode for agent work: who drives, when the agent asks for input, and where a person reviews completion. Keep tool access and workflow instructions aligned with that responsibility.

You watch the work in flight, not after. The Floor brings recorded work activity, status, and clarification requests together. You can inspect connected evidence and intervene while the work is moving, within the visibility supported by each integration.

Agents ask for help when nuance is at stake. Models can't capture what users haven't yet put into words. Agents can request clarification or review, with the question attached to the work. Your team can respond with the context in view and redirect the next step.

The result is a factory you direct, not a queue you approve. That's the difference between supervising slop and directing craft. It's also the difference between autonomy that stalls at the human bottleneck and autonomy that scales with the team.

Five ways to share responsibility.

The autonomy dial changes the instructions an agent receives in supported work workflows. These are Lit Factory modes, not an industry-wide ranking.

Human-led
You drive the work. The agent assists when asked.
Collaborative
You and the agent work together through intermediate decisions.
Agent-led
The agent drives the work and brings decisive questions to you.
Review-gated
The agent drives the work and requests human review before completion.
Autonomous
The agent completes bounded work independently and escalates blockers.

Check what actually happened.

Recorded participation helps distinguish the autonomy you intended from the responsibility exercised. Review waits and interruptions help you decide what to change. Where evidence is incomplete, the result may be unknown.

Autonomy does not override tool permissions. Completion review is enforced in supported agent work flows; external clients and native automations can have different execution controls. Confirm the path you intend to use.

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