Multi Agent

To coordinate multiple AI agents for complex analysis, you can load predefined team presets like development or debate groups, assign specific tasks, and manage multi-round discussions to generate comprehensive, collective insights.

Multi-agent orchestration is the process of managing AI teams to perform complex analysis. You need it when a task requires diverse perspectives, such as exploring pros and cons or collaboratively analyzing software architecture.

To start a multi-agent discussion, ask the AI to initiate the session by specifying a predefined team preset and assigning a particular task, which will trigger the collaboration among the selected agents.

You cannot create custom team configurations; AI coordination is enforced by predefined team configurations and task protocols to ensure safety, limiting orchestration to existing presets like development or creative groups.

Collaborative analysis handles group decision-making by managing multi-round discussions among the loaded AI team members, allowing them to explore different perspectives and synthesize comprehensive collective insights for the user.