prism-debate

Multi-agent adversarial debate works by assigning 3-5 fixed worldviews to distinct agents who present arguments, rebut, and track positions across iterative rounds to synthesize a final verdict with evidence.

Structured round-based debate is used to surface balanced arguments for or against a proposition, improving decision quality and clarity for product validation, policy analysis, and risk assessment.

To run a multi-agent debate, initiate the process by loading a proposition, allowing 3-5 agents to engage in iterative rounds of rebuttals, and synthesizing the final tracked positions into a verdict.

You can participate in adversarial analysis rounds using the user-participatory mode for collaborative debate, or select autonomous rounds and quick verdict modes for fully automated decision validation.

Use multi-agent position tracking when diverse viewpoints are required to improve clarity, as it surfaces counterarguments through adversarial analysis that a single agent approach would likely miss.

Fixed worldviews limit agents to their assigned perspectives, meaning the final synthesized verdict depends entirely on the breadth and appropriateness of the initial worldviews loaded for the proposition.