# PMSOLO > 一个会改代码的产品经理,正在把 AI Agent 变成可交付的产品能力。15 年互联网产品,武汉。同时带两条产品线,业余把方法论写成能跑的 Skill、把英文技术书译成中文。这里记录过程,不记录结论。 ## 导航 - [体系](https://www.pmsolo.com/category/xiti/):系统学一个东西的连续记录(Agent 工程 / 产品经理学 Langchain / Agentic Design Patterns / 吴恩达机器学习) - [感悟](https://www.pmsolo.com/category/ganwu/):不教知识,只表达观点、思考与心境(AI 时代 PM 的身份与角色) - [学习](https://www.pmsolo.com/category/xuexi/):单个知识点的零星学习笔记 - [成果](https://www.pmsolo.com/works/):用 AI 生成的独立页面与交互 demo - [关于](https://www.pmsolo.com/about/):个人信息 / Now 月更 / Stack 工具链 ## 最新文章 - [我在群里纠正它,它真的记住了吗](https://www.pmsolo.com/digital-employee-feedback-repair/) - [交付包有了,离上线还差什么](https://www.pmsolo.com/digital-employee-delivery-acceptance/) - [它终于进群了,然后呢](https://www.pmsolo.com/digital-employee-chat-integration/) - [第一份 Skill 是怎么改出来的](https://www.pmsolo.com/digital-employee-first-skill/) - [工具都接了,为什么还是查不到](https://www.pmsolo.com/digital-employee-tools-and-evidence/) - [群聊里藏着哪些活](https://www.pmsolo.com/digital-employee-scenarios-from-chat/) - [客服群数字员工实操:一句话怎么走到业务闭环](https://www.pmsolo.com/customer-service-group-workflow-practice/) - [做数字员工,最难的不是 Prompt,是业务边界](https://www.pmsolo.com/digital-employee-discovery-delivery/) - [PDF 问答真正的短板:错误可能发生在模型之前](https://www.pmsolo.com/grounded-document-agent-evidence-chain/) - [从任务池到项目流:我们的 AI Coding 转型思考](https://www.pmsolo.com/from-task-pools-to-project-flow/) - [不要白忙活,企业AI化的两件事](https://www.pmsolo.com/enterprise-ai-context-token-governance/) - [GEO 生意全景:谁买单、怎么验收、机会在哪](https://www.pmsolo.com/geo-business-explained/) - [FDE 只是过渡期工种](https://www.pmsolo.com/fde-is-a-transitional-role/) - [去模型依赖,去框架依赖](https://www.pmsolo.com/remove-model-and-framework-dependencies/) - [Vibe Coding 还得让子弹飞一会](https://www.pmsolo.com/vibe-coding-needs-more-time/) - [内部信息化团队的宿命](https://www.pmsolo.com/internal-it-team-ai-context-and-token-governance/) - [vibe coding在道家感悟:动之徐生,贵柔守静](https://www.pmsolo.com/vibe-coding-taoist-reflection/) - [企业 Agent 上下文:不是多塞资料,而是组织记忆](https://www.pmsolo.com/enterprise-agent-context-engineering/) - [工资涨了,选择却少了:我重新理解了安全感](https://www.pmsolo.com/choice-is-the-real-wealth/) - [吴恩达亲自为产研同学续命](https://www.pmsolo.com/ai-engineering-software-fundamentals/) - [一次 AI 回答背后,到底发生了什么?](https://www.pmsolo.com/ai-observability-data-model/) - [别被平台绑住:选择 AI 观测工具前先想好怎么离开](https://www.pmsolo.com/tool-selection-exit-plan/) - [自托管 Langfuse:真正难的从来不是安装](https://www.pmsolo.com/langfuse-self-hosting-production/) - [AI 上线以后,哪些数据该留,哪些绝不能留?](https://www.pmsolo.com/production-observability-governance/) - [AI 出错不可怕,可怕的是你不知道它经过了哪里](https://www.pmsolo.com/advanced-agent-tracing/) - [会聊天不等于会办事:复杂 Agent 应该怎么评?](https://www.pmsolo.com/evaluate-conversation-rag-agent/) - [新版 AI 真的更好吗?上线前请先拿出证据](https://www.pmsolo.com/dataset-experiment-release-gate/) - [90 分的 AI,为什么用户还是不满意?](https://www.pmsolo.com/define-ai-product-quality/) - [改一句 Prompt 也可能翻车:如何发布、验证和回退?](https://www.pmsolo.com/prompt-version-feedback/) - [AI 又慢又贵,钱到底花在哪一步?](https://www.pmsolo.com/ai-token-cost-latency/)