dispatching-parallel-agents

Run parallel tasks by dispatching one autonomous agent per independent problem domain. Provide unrelated failures to the system, which allocates a focused agent to each domain and returns concurrent results ready for merging.

Dispatch autonomous agents when you face 2+ independent tasks with no shared state or sequential dependencies. If separate investigations can proceed concurrently without overlapping scopes, parallel agents save time compared to sequential execution.

Scope tasks for parallel dispatch by grouping failures by what is broken and creating focused agent tasks. Each agent receives a specific scope with a clear goal and constraints to ensure non-overlapping investigations and structured outputs.

Parallel agents are not suited for subsystems with shared state. This dispatch approach requires 2+ independent problem domains where separate investigations can proceed concurrently without sequential dependencies or shared state interference.

Parallel agent results are merged by synthesizing the structured outputs returned from each concurrent investigation. The system generates separate results for each domain that can be inspected and integrated directly into your workflow.