ultrawork

Parallel task execution runs multiple independent tasks simultaneously rather than sequentially. This concurrent processing approach boosts overall throughput and reduces total completion time for high-volume workloads.

To start parallel processing, use the `/start-ultrawork` command followed by your task description. You must first gather explicit context, define acceptance criteria, and classify tasks before execution begins.

Evidence-based validation checks tasks through direct tool work and background evidence lanes. This structured workflow ensures that parallel processed tasks meet defined acceptance criteria before completion.

Context management ensures all necessary context is gathered before concurrent execution begins. This approach handles multiple independent tasks simultaneously while maintaining structured workflows and validation.

Parallel execution requires explicit context gathering and task classification before starting. Tasks must be independent to run simultaneously, and acceptance criteria must be defined upfront for evidence-based validation.

Sequential execution processes tasks one by one, which is less efficient than parallel processing. Running multiple independent tasks simultaneously boosts throughput and significantly reduces total batch processing time.