dispatching-parallel-agents

To run parallel tasks, dispatch independent problems to specialized agents concurrently. This prevents idle waiting and reduces total turnaround time by enabling concurrent work without shared state dependencies.

Task dispatching in parallel orchestration assigns precise scopes and goals to specialized agents across separate domains. This enables concurrent work, preventing cross-contamination of context while improving overall delivery throughput.

Create focused agent tasks by assigning precise scope, goals, and constraints to one agent per independent domain. This ensures parallel work proceeds with minimal interference and avoids cross-contaminating context.

Dispatch parallel agents when multiple problems can be tackled simultaneously without shared state or dependencies, such as parallel research, data gathering, or testing, to prevent idle waiting and speed delivery.

Integrate parallel agent results by aggregating outputs and resolving conflicts during a review phase. This allows you to combine findings without re-running entire workflows or disrupting the independent task execution.

Dispatching parallel agents requires clearly defined domains and tasks without shared state or dependencies. If problems require sequential dependencies or shared state, parallel dispatch will cause interference and fail to reduce turnaround time.