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  "text": "Pay attention to this one if you build multi-agent systems.\n\nCoordination is as important as prompts or agent architecture.\n\nMulti-agent LLM systems fail in production at rates between 41% and 87%.\n\nThe majority of those failures are coordination defects, not base-model capability. Most published comparisons of multi-agent architectures can't even tell you whether the gain came from coordination or from one configuration just having larger context windows.\n\nThis new research argues that coordination should be treated as a configurable architectural layer, separable from agent logic and from information access. Then it backs the position with an information-controlled experiment: same LLM, same tools, same prompt template, same per-call output cap. The only thing that varies is coordination structure.\n\nWhy it matters:\n\nuntil you control for information access, \"multi-agent beats single-agent\" doesn't actually mean coordination won. This paper gives you a cleaner methodology for actually testing it, and a vocabulary for reasoning about coordination as architecture instead of plumbing.\n\nPaper: https://t.co/8m0P8kCQ2a\n\nLearn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c",
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