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从Demo到生产
AI工程化实战
This book is 96% completeLast updated on 2026-08-22
一本面向有一定 AI 基础的工程师、技术负责人与产品人的实战手册。它回答一个被大多数 AI 内容回避的问题：为什么大多数 AI 项目止步于 Demo，而少数能真正跑进生产？
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About
About the Book
全书用一条贯穿主线组织：把 AI 能力转化为可测量（measure）、可控制（control）、可改进（improve）的生产系统。书中提出两条互补的框架——
- 「三问」是原则层：Can we measure it? Can we control it? Can we improve it?
- 「七道门」是执行框架：Value → Problem → Evaluation → Engineering → Safety → Production → Learning。
这两条线通过一个教学构造的贯穿案例「青野生态监测 AI Agent」串起来。青野从 Day 0 的问题定义，一路走到 Day 365 的 AI Engineering Flywheel，每一关都留下可复用的工程资产：价值标尺、任务树、数据契约、行为评测集、Agent Runtime、失败分类、威胁模型、CI/CD 门禁、发布检查单、成本账本、SLO 与 RACI。
书中不堆砌概念，而是把抽象原则变成可复盘的工程事件：一次提示注入触发的横向越权、灰崩溃（HTTP 200 但业务静默恶化）、评测集随失败生长、生产环境的质量闸门。所有教学数字均标注来源层级——【演示假设】/【作者经验】/【公开研究】——并明确区分教学构造案例与真实公司档案。
读完后你带走的不是 300 页知识，而是一套可以照着执行的生产手册：拿到一个 AI 项目，就能按七道门推进，并在每道门落下具体的工程资产。
配套可独立使用的「90 天行动地图」按个人开发者、技术负责人、产品/业务方三种角色给出下一步动作，让书自然延伸为一份 AI Engineering Playbook。
Author
About the Author
kejia shao
AI正在重写价值规则。未来属于会驾驭智能的人。
我是 SKJ（kejia shao），AI 产业实践者、算法工程师、技术作者。过去十余年我一直在 AI 一线：从推荐算法到深度学习，从气象 AI、生态大模型到企业 AI 落地，再到今天的 Agent 时代——申请多项发明专利，帮助墨迹天气在国际公认的 Forecastwatch 天气预报评测中取得全球第一成绩。现在，我主导碳寻时空大模型的研发。
我只关注一个问题：在 AI 越来越强的时代，个人和组织如何建立持久的价值？
我的「AI时代个人操作系统」书系覆盖一条完整的成长路径：
· 看懂 AI 带来的结构性变化（《断层线》）
· 建立 AI 替代不了的能力（《判断力》《不可替代》）
· 学会管理 AI Agent（《拒绝裸驾》）
· 打造自己的 AI 生产力系统（《手把手教你开发AI Agent》）
我的目标：帮助更多人从 AI 使用者，升级为 AI 创造者。
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AI is reshaping how humans work, create, and compete.
I am SKJ (kejia shao), an AI practitioner, algorithm engineer, and author exploring the future of human–AI collaboration. Over the past decade I have worked across recommendation systems, weather and ecological AI, large-scale data intelligence, and enterprise AI deployment — through the deep-learning era, the LLM era, and now the agent era.
My books focus on one central question: how can individuals and organizations build lasting value in the age of AI?
The "AI Era Personal Operating System" series covers a complete growth path: understanding AI-driven disruption, building irreplaceable human capabilities, managing AI agents effectively, and creating your own AI-powered systems.
My goal: help people move from AI users to AI creators.
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