dispatching-parallel-agents

To run parallel agents, you dispatch dedicated agents for each independent problem domain with isolated scopes. This enables parallel execution for faster triage when 3+ failures can be analyzed separately without shared state or sequential dependencies.

Parallel agent orchestration is ideal when you have 3+ failures or subsystems that can be analyzed separately. It requires clearly defined problem domains, no shared state between tasks, and no sequential dependencies to ensure safe parallel execution.

The best way to coordinate independent investigative tasks is dispatching dedicated agents to work in parallel. Each agent targets a separate problem domain, returns concise summaries, and outputs are aggregated without cross-domain state for scalable orchestration.

Parallel agents are not suitable when sequential dependencies or shared state exist. This approach requires isolated scopes for each agent and clearly defined problem domains to enable safe parallel execution without cross-domain state interference.

Structured summary outputs in parallel agent orchestration allow each dedicated agent to return concise results independently. These summaries are then aggregated without cross-domain state, enabling scalable orchestration with minimal coordination overhead.