team-builder

To assemble multiple AI agents for parallel task execution, you use team composition features to browse available agent personas across domain layouts, interactively select them, and spawn them simultaneously to handle cross-domain tasks.

Dynamic agent discovery is the process of identifying suitable agent personas across flat or domain-subdirectory layouts to form deployment-ready teams that cover diverse skills for cross-domain tasks.

Yes, you can compose ad-hoc teams from multiple domains. The system allows you to browse and compare available agents across different domain layouts and interactively refine the team composition before deployment.

Results from parallel agent execution are synthesized into a unified report using conflict-aware synthesis, which reconciles overlapping outputs and integrates findings with robust error handling.

Yes, the team builder supports interactive selection before deployment. You can browse and compare available agents, compose ad-hoc teams, and interactively refine the team composition to ensure it meets your requirements.

The best way to manage workflow automation with multiple agent personas is to use a domain-based layout system that supports dynamic discovery, parallel spawning, and conflict-aware result synthesis for robust task execution.