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Summary
A multi-agent architecture, inspired by human organizational structures, significantly enhances AI reliability. By utilizing over 50 specialized agents with veto power, this system reduced error rates from 75% to 7.9% and achieved a 92.1% success rate in financial analysis tasks. The approach emphasizes that reliability stems from orchestration rather than intelligence alone, suggesting a transformative potential for AI deployment in critical fields like finance and healthcare.
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