dispatching-parallel-agents

To run parallel agents, divide a complex goal into independent tasks with clear boundaries and assign each to a separate agent. This coordinates concurrent work streams and merges their outputs into a single coherent result.

Coordinating multiple agents for cross-functional workflows requires enforcing clear task boundaries, shared context, and explicit assumptions. This pattern applies safely to multi-domain problems where independent work streams run concurrently and merge outputs.

Splitting a complex goal involves dividing it into independently deliverable tasks. You define explicit inputs, outputs, and assumptions for each agent to ensure safe result consolidation and conflict resolution across concurrent work streams.

Parallel task coordination supports multi-team debugging and parallel research tasks. It applies to multi-domain problems where independent work streams can run concurrently and their outputs must be merged into a single result.

You should not use parallel agents when a complex goal cannot be divided into independent tasks. This approach requires clear task boundaries and safe consolidation; tightly coupled tasks with shared dependencies are not suitable for concurrent work streams.

Dispatching parallel agents handles result consolidation by enforcing clear task boundaries and shared context. This ensures safe conflict resolution across agents and merges concurrent work stream outputs into a single coherent result.