team-shinchan:debate

Structured debates among multiple AI agents are facilitated through a panel-based workflow that gathers opinions, synthesizes insights, and records decisions for traceability. You initiate the process by providing a topic and panel selection.

Available debate patterns for multi-agent decision-making include Round Table, Dialectic, and Expert Panel formats. These predefined patterns help coordinate complex architectural reviews, design choices, or policy trade-offs requiring multiple viewpoints.

Yes, the panel debate workflow is specifically useful for architecture reviews, design choices, and policy trade-offs. It organizes structured debates to surface optimal decisions by gathering and synthesizing multiple viewpoints.

The debate workflow uses auto-detection of when to finalize to determine the endpoint of the discussion. It executes stages for invocation, results, and finalization, then presents the final decision based on synthesized panel opinions.

Yes, the workflow logs decisions and rationale for traceability and future audits. This ensures that the outcomes of structured debates, including the reasoning behind architectural or policy choices, are recorded and reviewable.

The best way to coordinate complex decision-making across multiple AI agents is using a repeatable debate workflow. It provides predefined patterns and auto-finalization to reduce noise and surface well-reasoned outcomes from panel opinions.