swarm

Distributed task coordination decomposes complex work into parallel units, coordinating dozens to hundreds of workers when needed. It leverages background Workflows to execute heavy tasks and collates only structured final results back to the main window.

Adversarial verification in distributed workflows is a guardrail mechanism that strictly synthesizes and validates final results to prevent unvetted outcomes. It ensures that outputs produced by parallel background workers are checked before being returned to the coordinator.

You orchestrate large tasks by explicitly decomposing them into parallel work units and launching a background Workflow with per-worker configuration like model and effort. The system handles internal orchestration and returns a concise final report.

Yes, you can apply per-worker configuration specifying the model and effort level for each background worker in the swarm. This allows you to allocate resources appropriately based on the complexity of each decomposed task unit.

Avoid fire-and-forget swarm delegation when tasks require live steering or continuous interactive intervention. This approach is designed for scale and parallelism where heavy lifting runs autonomously in background contexts without real-time user input.

The coordinator tracks execution for auditability by maintaining a durable war diary that records internal orchestration steps, explicit task decomposition, and adversarial verification checks taken by the background workers.