前言

前言

这本书不讲 LangChain、不讲 RAG、不讲 Function Calling。市面上关于 AI 的书已经够多了，不缺我这一本讲技术的。

我想讲的一件事是：为什么你用了那么多 AI 工具，还是觉得 AI 不够聪明？

这些年我用过 ChatGPT、Claude、Copilot、Cursor、Codex、OpenCode……几乎每个主流 AI 客户端我都深度使用过。我得出的结论是：问题不在模型，不在工具，在于上下文。

你跟 AI 对话一小时，它表现惊艳。但第二天继续，它忘了昨天的一切。你换一个项目，它把上个项目的记忆混进来。你尝试用 Prompt 模板解决这个问题，但 Prompt 越长，AI 越容易跑偏。

这不是你的问题，这是当前 AI 协作方式的根本缺陷——对话不是上下文。

我花了很长时间摸索，最终沉淀出一套解决方案：AI Context Workspace。它不是一个新的 AI 工具，而是一种组织上下文的方法。它不绑定任何模型、任何客户端、任何框架。它只是一个目录结构、一套约定、一个工作流。

这套方法我已经在多个项目中实际使用，效果显著。它不复杂，核心思想一个下午就能讲清楚。但需要你转变一个认知：不要告诉 AI 怎么回答问题，要为 AI 准备好回答问题的上下文。

这本书不长，大约三万多字，分六个大篇。你可以从头读到尾，也可以按需跳读。如果你读完后觉得"这个思路有意思，但好像也没那么复杂"，那说明我写对了。

那就开始吧。

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