问HN：代理只是炒作吗？
我在过去几天里一直在尝试（但未能成功）寻找一些真正的案例，看看人工智能代理在生产环境中如何实现规模化。除了编码代理和开发生产力工具之外，我很难找到任何看起来像真正可扩展的代理系统的东西。
目前人们所称的“代理”基本上只是将一两个大型语言模型（LLM）调用拼接在一起的确定性工作流程。这并不算是一个代理，充其量也只是一个API管道。
所以我真的很好奇：有没有真正的例子展示代理在大规模处理复杂、多步骤工作流程方面的能力？不是演示，不是玩具项目，也不是风险投资的幻灯片。
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I have spent the last few days trying (and failing) to find real cases where AI agents actually scale in production. Outside of coding agents and dev-productivity tools, I am struggling to see anything that looks like a genuinely scalable agent system.<p>Most of what people are calling “agents” today are basically deterministic workflows with one or two LLM calls glued together. That is not an agent. That is a at best API pipeline.<p>So I am genuinely curious: are there any real examples of agents handling large, messy, multi-step workflows at scale? Not demos, not toy projects, not VC decks.