Most agent tools put one person in a chat with one model. Command Center treats AI agents as a team you direct. You set objectives on a board, agents pick them up, and the work moves through planning, execution, and review while you watch it happen.
- Objectives sit on a kanban board, grouped by the system or project they belong to.
- Start an agent on an objective and it plans, then executes, with progress streaming back in real time.
- Nothing executes on its own. The plan and the result are held at an approval gate until a person signs off.
- Once approved, the agent continues to the next task until the objective is complete.
It tested whether a person can supervise several agents at once without losing control of what they do. The answer that held up was the approval gate: agent work stays behind a review step, so speed never comes at the cost of an unchecked action.
It is early: a tested prototype, with the orchestration and approval flow proven end to end.