ultrawork

To run independent tasks in parallel, you can use a parallel execution engine that dispatches work to multiple agents simultaneously. This approach reduces overall completion time by handling concurrent feature work or batch validations at once.

Multi-agent orchestration routes tasks to appropriate model tiers, such as haiku, sonnet, or opus, based on cost and complexity. This tier routing ensures efficient resource allocation when dispatching parallel work across different agents.

Yes, you can execute long-running operations in the background while continuing other work. Background execution allows long-running steps to run independently, enabling concurrent progress on multiple workflow tasks without blocking.

The best way to handle independent batch research and data gathering is through parallel task dispatch. By firing multiple agents simultaneously for independent tasks, you gather data and validate results faster without waiting for sequential completion.

Yes, parallel task dispatch works for lightweight verification when persistence is not involved. It fulfills requirements for concurrent validations and background chores by firing multiple agents simultaneously without needing persistent data storage.

You should avoid parallel task dispatch when tasks are dependent on each other or require persistent data storage. This approach is designed for independent tasks like batch validations and reporting where persistence is not involved.