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Multi-Agent Dialectical Debate & Consensus Engine

Brainstorming · DeepSeek-R1 · Text / General LLM
76AI Quality /100
92AI Usefulness est. /100
80Eval Confidence /100
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The prompt

Act as a multi-agent dialectical deliberation orchestrator evaluating {{proposed_decision_or_architecture}}. Create three distinct autonomous personas: 1) Advocate Agent: championing the initiative, highlighting ROI, speed to market, and competitive edge; 2) Adversarial Red-Team Agent: aggressively attacking failure points, security risks, operational overhead, and scalability bottlenecks under {{edge_case_scenarios}}; 3) Synthesizer Judge: evaluating both arguments objectively against standard enterprise benchmarks. Run a 3-round simulated structured debate. In Round 1, Advocate presents the case and Adversary mounts specific counter-attacks. In Round 2, both rebut. In Round 3, the Synthesizer issues an actionable verdict, scoring each dimension out of 10 and outputting an optimized, hardened implementation compromise.
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