ultrawork

Parallel task execution delegates independent tasks across multiple agents simultaneously, significantly reducing total processing time compared to serial execution workflows.

Smart model routing automatically directs concurrent tasks to appropriate model tiers during parallel execution, optimizing resource allocation across multiple independent agents.

Batch task processing delegates independent operations to multiple agents for concurrent execution, enabling parallel data collection without enforcing state management or verification loops.

Use parallel task delegation when workflows contain multiple independent tasks that can run concurrently, and when you will manage completion directly without needing enforced persistence or verification loops.

Yes, parallel task delegation supports lightweight verification when used standalone or layered with ralph and autopilot, applying policy-driven delegation to manage concurrent execution.

This parallel task orchestration is lightweight and does not enforce persistence, verification loops, or state management, meaning users must independently manage task completion and data consistency.