Designs clean handoff protocols between specialized agents so work passes between planner, coder, reviewer, and executor without losing context or creating circular dependencies.
Use cases
- Parallel agent execution
- Specialist-to-specialist handoffs
- Error recovery across agents
- Shared context propagation
Key features
- Define agent roles and boundaries
- Establish shared state contracts
- Design error escalation paths
- Test handoff failure modes
Related
Related
3 Indexed items
Agentic workflow design
Structures multi-step agent tasks with clear inputs, outputs, fallbacks, and handoff protocols so agents reliably complete complex workflows instead of stopping at the first blocker.
Multi-agent orchestration
Coordinates multiple AI agents on shared tasks with explicit handoffs, conflict resolution, and result aggregation—so parallel work stays coherent instead of fragmenting into inconsistent outputs.
Dispatching parallel agents
Splits embarrassingly parallel work—research chunks, file batches, or independent modules—across agents with crisp handoffs back to a single integrator.