Multi-agent role separation and handoffs
Give each role a focused responsibility and a clear output for the next step. Specify who owns the overall result and when a handoff should be rejected or reviewed.
Agents · Playbook
Multi-step agent workflows
LangGraph-style orchestration: specialized agents collaborating across research, ops, and delivery with shared state, handoffs, and checkpointing.
On this page
- Multi-agent role separation and handoffs
- Shared memory, checkpoints, and conversation control
- Evaluation loops, retries, and quality gates
Shared memory, checkpoints, and conversation control
Carry the information needed for the current task without mixing unrelated work. Define which state is shared, who can update it, and when it should be cleared.
Evaluation loops, retries, and quality gates
Review both individual steps and the completed outcome against representative examples. Use failed handoffs and operator corrections to improve the workflow before expanding its scope.
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