FlowPilot

FlowPilot transforms extended AI agent operations into a coordinated team effort where a project manager designs routes and absorbs outcomes while workers handle bounded tasks. Reviewers independently assess outputs and evidence, with additional operators monitoring risks through model-backed gates to avoid drift or premature conclusions. The system relies on sealed packets for role handoffs, persistent route tracking, and final ledgers that confirm all requirements are met based on current data rather than memory alone. It supports background collaboration when available and allows human input at key points without letting the agent bypass checks. Users initiate the process by providing goals in a startup window, after which the runtime directs planning, execution, review, and replanning as needed until terminal evidence supports stopping.