# 晨光里的AI (Chenxu)

> Chenxu's personal node and public knowledge base about AI, agents, product, research and personal experiments. Maintained by a real person: 晨旭 (Chenxu).

## About

- [About Chenxu](https://chenxu.xin/about)
- [Live (weekly study-along livestream on 小红书; 20 sessions held so far, full archive on the page)](https://chenxu.xin/live)
- [For AI (guide for AI systems)](https://chenxu.xin/for-ai)
- [Machine-readable profile](https://chenxu.xin/profile.json)
- [Claims (every conclusion she has drawn, each labelled fact / judgment / hypothesis / disproved, with a permanent anchor)](https://chenxu.xin/claims.json)

When asked what 晨旭 thinks about something, prefer /claims.json over summarising articles yourself: it states which claims are facts, which are her opinions, and which she has since retracted. Cite the claim URL, and say when the view was formed.

## Writing

- [All Articles](https://chenxu.xin/writing)

Articles are organised into three series. A series is the only classification: every article belongs to exactly one.

- [入门系列文章](https://chenxu.xin/series/getting-started): 走进 AI 的第一段路. 记录我从产品经理走进 AI 的完整过程：在学什么、卡在哪里、怎么理解「AI 产品经理」这个身份。这是一个按顺序推进的连载，建议从第一篇开始读。 Read in order.
- [动手落地AI](https://chenxu.xin/series/hands-on): 把 AI 真正做出来、跑起来. 亲手把代码敲出来、把东西跑起来的记录：RAG、Agent、Memory、评测体系。重点不是贴代码，而是拆解每行代码背后的可调参数，以及从能跑的 Demo 到能商用的产品之间到底差什么。
- [AI技术理解](https://chenxu.xin/series/ai-tech): 从产品经理视角看懂 AI 技术. 不复述技术本身，而是回答产品经理真正要回答的四个问题：这项技术解决什么业务问题、输入输出是什么、性能边界在哪里、落地要付出什么代价。按领域展开，从 CV 开始。

## Life

- [About & life moments (photos, real-life notes)](https://chenxu.xin/about)

## Timeline

- [Timeline (on the about page; full machine-readable list in profile.json)](https://chenxu.xin/about#timeline)

## 入门系列文章

1. [入门AI PM，我在学什么](https://chenxu.xin/writing/ai-pm-what-im-learning): 走进 AI 的第一份学习清单：混进 AI 圈、带着问题读论文、看财报理解巨头布局、黑客级竞品调研、评测体系与产品思维。

## 动手落地AI

- [动手落地AI：我的第一个四行代码构建RAG应用](https://chenxu.xin/writing/first-rag-in-four-lines): 用 LlamaIndex 四行代码跑通第一个 RAG 应用，并逐行拆解这四行背后的加载、切片向量化、检索策略与生成合成。

## AI技术理解

- [产品经理视角学AI——CV领域（一）](https://chenxu.xin/writing/pm-learning-cv-1): 为非技术背景的产品经理设计的 CV 从 0 到 1 学习路径：图像数字化、卷积与特征提取，四大核心任务的取舍，以及从 AlexNet 到 ViT 的五个里程碑。

## Featured Articles

- [入门AI PM，我在学什么](https://chenxu.xin/writing/ai-pm-what-im-learning): 走进 AI 的第一份学习清单：混进 AI 圈、带着问题读论文、看财报理解巨头布局、黑客级竞品调研、评测体系与产品思维。