dispatching-parallel-agents

Parallel agent orchestration dispatches a separate agent per independent problem domain to avoid shared state and execute investigations concurrently. It provides a protocol ensuring non-interference, parallel execution, and clear deliverables for each assigned task.

You should use parallel agent workflows when you have 2 or more independent problems that can be worked on without shared state or sequential dependencies. This approach reduces total time and improves coverage by dispatching focused agents concurrently.

You execute independent investigations by dispatching a dedicated agent for each problem domain. This ensures non-interference during parallel execution and provides consolidated summaries and outputs for seamless integration of the results.

No, parallel agent workflows are intended for independent problems without sequential dependencies. If tasks require shared state or must be completed in a specific order, this orchestration protocol is not suitable for your investigation.

The best way to consolidate outputs is to use an orchestration protocol that assigns each independent problem to a focused agent. After parallel execution, the protocol provides consolidated summaries and outputs for seamless integration.