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Parallel task execution works by partitioning independent tasks and delegating them concurrently to different agent tiers. This allows multiple operations to progress simultaneously, reducing overall completion time for multi-task workloads while you monitor outcomes.

You can orchestrate workflow delegation by dispatching independent tasks to available agent tiers such as LOW, STANDARD, or THOROUGH. The routing logic delegates tasks based on tier requirements, enabling concurrent progress and scalable background execution.

Yes, async delegation supports in-background options for long-running operations. This enables you to dispatch dozens of independent tasks at once, allowing them to execute concurrently while you manage completion and monitor results from the dashboard.

Yes, parallel execution integrates with Ralph and Autopilot layers to compose scalable workflows. It applies delegation routing to these layers while providing lifecycle state tracking to manage task progress across the orchestrated agent tiers.

You should use parallel task delegation when your workflows contain dozens of independent tasks that can be partitioned and dispatched at once. It is specifically designed for multi-task workloads where concurrent processing will accelerate overall throughput.

Parallel execution is limited to workflows with independent tasks that can be partitioned. It does not support dependent or sequential tasks, as the mechanism relies on concurrent delegation to different agent tiers to accelerate throughput without inter-task blocking.