HN 提问：AI 在工作场所的效率
3 分•作者: localhoster•28 天前
我的一位同事花了三天时间写了一个提示词给 Claude，让 Claude 生成一份产品需求文档（PRD）。
Claude 生成了令人惊叹的 12 页 Notion 文档，其中包含图表、模式定义、预期行为等等。
我通读了所有内容，并就他决定的架构提出了一些疑问，因为他选择了与我们讨论的不同方向，但这也没关系。他大部分的回答是：“哦，那个忽略掉，是 Claude 加的。”
我们到底在做什么？同样的三天时间，本可以用来手写这份 PRD。当然，它可能不像前者那样光鲜亮丽，但至少是准确的！这正是我对大型语言模型（LLM）感到痛苦的地方，它们会生成大量文本，看起来效率很高。而真正的效率在于用最少的文字来描述功能。
我真的不知道该如何处理这个领域的问题，这与我们写东西的整个前提背道而驰。
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Someone at my workplace took 3 days to write a PROMPT to Claude to write a PRD.
It generated magnificent 12 notion pages with graphs, schema defenitions, expected behaviors, what-have-you.
I read through all of them and raised some questions regrading the architecture he decided to go with, as he went on a different direction that what we discussed, and thats OK. Most of his responses where "oh just ignore that, claude added that".
What are we even doing here? The same 3 days could've been spent writing the PRD by hand. Sure, it might not have been so as polished looking as the former, but at least it was accurate! This is exactly my pain with LLMs, they make loads of text, where, they appear efficient. Where actual efficiency is having the least amount of text to describe the feature.<p>I truly don't know what to do in this area, this goes against the whole premise of writing things up.