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The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy integrations fail at scale.

For much of the last two years, multi-agent systems have been treated as the natural next step in artificial intelligence. If one large language model can reason, plan, and act, then several working ...