ultrawork

To execute independent tasks in parallel and reduce completion time, dispatch them simultaneously across multiple agents. This maximizes throughput by handling concurrent work without requiring persistence or verification layers.

Smart routing for parallel task dispatch assigns independent tasks to appropriate model tiers like Haiku, Sonnet, or Opus. This optimizes cost and speed efficiency by matching task complexity to the correct model during concurrent operations.

You route concurrent agents to the appropriate model tier by explicitly specifying the model for each task. This balances cost and speed efficiency, directing simpler tasks to faster tiers and complex tasks to higher tiers.

Yes, you can run long-running background operations alongside short-running foreground checks. The system supports both execution modes simultaneously, allowing you to coordinate concurrent work while managing tasks with varying completion times.

The limitation of parallel task execution without persistence or verification is that no execution state is saved and outputs are not validated. You must manage data integrity and state tracking externally if your workflow requires reliable recovery or result validation.

Parallel task orchestration works with end-to-end pipelines when composed with tools like Ralph and Autopilot. While it handles parallelism and routing, the pipeline tools manage the surrounding persistence and verification layers to complete workflows.