coordinator

You can orchestrate subagents through dynamic, document-driven scheduling. The coordinator coordinates task execution by applying scheduling gates and maintaining documents to safely manage multi-agent collaboration without enforcing rigid workflows.

Document-driven task planning manages execution by maintaining per-task documents for intent, plans, execution, and verification. It applies scheduling gates and progress checks to ensure closed-loop execution and option-driven decision points throughout the workflow.

Yes, dynamic scheduling applies to tasks of varying complexity, from simple to complex. It supports the full lifecycle including requirement analysis, planning, execution, verification, and review workflows regardless of the task scale.

To start multi-agent collaboration, input a specific task description. The system performs requirement analysis and automatically schedules the appropriate subagents to execute the complete workflow.

The best way to ensure closed-loop execution is to use progress checks and option-driven decision points. This approach maintains coordinated documents and enforces scheduling gates to verify task completion safely.

You should avoid dynamic orchestration if your task does not require multi-agent collaboration or document-driven scheduling. If your workflow needs strict rigid sequences rather than option-driven decision points, this approach may not fit.