AI agents and teams can't efficiently collaborate on video editing without fragmented workflows

AI agents, developers, and video teams struggle to coordinate on video projects because feedback, footage, and edits are scattered across Slack, email, and disconnected tools. Current solutions force teams to describe edits in words or use clunky one-off UIs, making it impossible for AI agents and humans to work on the same timeline simultaneously with shared context. This creates bottlenecks where agents can't reference shared footage, teammates can't see real-time progress, and review cycles become slow and error-prone.