team-builder

To run multiple AI agents in parallel, you select desired markdown personas from an interactive menu to assemble a task-specific team. The system then dispatches these agents simultaneously, aggregating their parallel results into a synthesized report.

Workflow orchestration for domain-aware agent selection is the process of browsing markdown personas organized by domain subdirectories to compose on-demand teams. It coordinates parallel agent tool calls to achieve quick, domain-spanning collaboration.

Yes, you can organize agent personas using both flat and subdirectory layouts. When using subdirectories, the interactive team picker automatically applies domain-aware discovery to group and organize agents by their specific domains.

You create a multi-agent team for domain-spanning collaboration by using the interactive team picker to browse your pool of markdown personas. After selecting the appropriate agents, you launch them in parallel to execute the required task.

Yes, dispatching parallel agent teams works without external dependencies. The system independently handles domain-aware discovery, agent selection, and the coordination of parallel tool calls to aggregate synthesized results.

When executing parallel multi-agent workflows, the results from all simultaneously running agents are automatically aggregated. The system compiles the outputs from each selected markdown persona into a single synthesized report for review.