orchestrate

To break down a complex objective into parallel tasks, you provide the high-level goal to an orchestrator. It decomposes the objective into discrete, independent subtasks and dispatches them across multiple agents for isolated execution.

Multi-agent task orchestration coordinates the execution of independent subtasks across parallel agents. You need it for complex goals with parallelizable subtasks, no inter-task state sharing, and a need for aggregated results.

No, parallel task dispatch is applicable for scenarios with no inter-task state sharing. You should only use this orchestration approach when subtasks can be executed in isolation without depending on each other's live state.

The best way to aggregate results from parallel agents is to use an orchestrator that collects individual outputs, detects conflicts, and compiles them into a final, coordinated report with automated monitoring and safety checks.

Yes, multi-agent orchestration validates the task decomposition with the user before dispatching work. It maintains state throughout the workflow to ensure safe, bounded concurrency during parallel execution.