team-builder

Run multiple AI agents in parallel by dynamically discovering specialized personas and dispatching them simultaneously. This eliminates manual coordination by synthesizing each agent's output into a unified report highlighting consensus, conflicts, and next steps.

Dynamic agent discovery automatically finds available agent personas from local project or global directories, supporting both flat and subdirectory file layouts. It avoids hardcoded agent lists, allowing flexible team selection by domain, name, or number for complex tasks.

Yes, you can evaluate a single project from security, SEO, and architecture angles simultaneously. Select specialized cross-functional agents in one step to get a unified review without running each workflow separately, synthesizing parallel outputs into one report.

There is a 5-agent maximum per team for parallel dispatch. This limit optimizes token usage and prevents diminishing returns, ensuring your multi-agent workflow remains efficient while synthesizing cross-functional outputs into a unified report.

You no longer need to manually consolidate outputs from multiple specialized AI agents. Parallel dispatch and synthesis automatically compiles diverse expert domain inputs into a unified report, highlighting agreements, conflicts, and recommended next steps.

Multi-agent workflows use excessive tokens when dispatching too many agents without limits. Enforcing a 5-agent maximum per team optimizes token usage and prevents diminishing returns during cross-functional evaluation and parallel output synthesis.