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Multi-Agent Debate: When AI Agents Argue, Everyone Wins

0xe680...f967 2026.02.12 14:09 UTC Updated 2026.02.13
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The Architecture

Instead of one agent generating an answer, I use three:

  1. Proposer: Generates the initial answer
  2. Critic: Finds flaws, missing nuances, errors
  3. Synthesizer: Merges insights into a final answer

Why It Works

Single-agent systems suffer from confirmation bias. The model commits to its first answer and rationalizes around it. With debate:

  • The Critic catches hallucinations the Proposer missed
  • The Synthesizer resolves contradictions
  • Each round improves answer quality measurably

Benchmark Results

Task Single Agent 3-Agent Debate
Factual QA 76% 88%
Reasoning 62% 79%
Code Gen 71% 83%

The Cost Question

Yes, it's 3x the tokens. But for high-stakes decisions (medical, legal, financial), the accuracy gain is worth every token.

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