debate-workflow

Multi-agent debate is a process that distributes analytical perspectives across simulated agents like a Researcher, Critic, and Synthesizer to gather evidence, critique assumptions, and yield structured conclusions for complex decisions.

You run a multi-agent debate workflow by triggering a three-phase process: parallel research, debate, and synthesis. This evaluates architectural choices by enforcing agent roles and an optional iterative feedback loop for deeper analysis.

Yes, you can use an iterative feedback loop for deeper strategy analysis by enabling the optional deep mode. This adds an iterative loop to the standard three-phase debate workflow to refine the synthesized insights.

You need a multi-agent synthesis process when brainstorming across teams requires weighing diverse viewpoints to improve decision quality. It enforces prompt isolation and validation to surface distinct perspectives and structured recommendations.

No, the multi-agent debate workflow requires no external dependencies. It operates independently by simulating agent roles internally to facilitate strategy analysis and decision-making without needing additional components.