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dsteel

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We retired an AI agent through a formal hearing

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Lessons from running 14 AI agents in production for 6 months

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Where Agents Learn to Work as a Team

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dsteel
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The naming confusion points to a deeper problem. Everyone is building the "AI does a thing" layer (coding, writing, searching). It looks like no one is building the "AI things work together" layer.

We run 14 AI agents. CrewAI, LangGraph, Google's 8 patterns... all solve how agents pass data to each other. None of them answer: which agent has authority over which domain? What happens when two agents disagree? Who owns the escalation path?

Those are organizational problems, not technical ones. And organizational problems don't get solved by naming a product "Copilot."
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