{
  "site": "https://chenxu.xin",
  "stance_definitions": {
    "fact": "可核实的事实",
    "judgment": "作者的判断，基于证据但可能被推翻",
    "hypothesis": "作者的猜想，尚无证据支撑",
    "disproved": "作者曾经这么认为，后来发现是错的；保留但不代表现在的观点"
  },
  "tags": [
    {
      "id": "ai-pm",
      "name": "AI PM",
      "description": "AI 产品经理这个身份本身：能力模型、职责边界、和传统产品经理的差别。"
    },
    {
      "id": "learning-method",
      "name": "学习方法",
      "description": "怎么学：读论文、看财报、做竞品、把自己泡进 AI 圈的具体方法。"
    },
    {
      "id": "learning-path",
      "name": "学习路径",
      "description": "某个领域从 0 到 1 该按什么顺序学、每一步该掌握到什么程度。"
    },
    {
      "id": "evaluation",
      "name": "评测",
      "description": "怎么判断一个 AI 系统做得好不好：指标、数据集、评测流程。"
    },
    {
      "id": "agent",
      "name": "Agent",
      "description": "Agent 的组成、记忆、工具调用、多 Agent 协作与评测。"
    },
    {
      "id": "career",
      "name": "职业发展",
      "description": "AI PM 这个角色本身：能力模型、岗位要求、与相邻角色的边界。"
    },
    {
      "id": "product-teardown",
      "name": "产品拆解",
      "description": "拆开一个具体产品看它怎么做的：交互、架构、商业模式。"
    },
    {
      "id": "industry",
      "name": "行业观察",
      "description": "报告解读、访谈拆解、趋势判断这类对外部信息的二次消化。"
    },
    {
      "id": "rag",
      "name": "RAG",
      "description": "检索增强生成：切片、向量化、检索策略、生成合成与工程取舍。"
    },
    {
      "id": "memory",
      "name": "记忆",
      "description": "Agent 怎么记住东西：上下文与记忆的区别、记忆的读写与遗忘、跨会话的状态延续。"
    },
    {
      "id": "context-engineering",
      "name": "上下文工程",
      "description": "在有限的上下文窗口里放什么、什么时候放、怎么组织，让模型发挥出最好的能力。"
    },
    {
      "id": "llamaindex",
      "name": "LlamaIndex",
      "description": "LlamaIndex 框架的具体用法与踩坑。"
    },
    {
      "id": "cv",
      "name": "CV",
      "description": "计算机视觉：分类、检测、分割、生成，以及各自的能力边界与成本。"
    },
    {
      "id": "hands-on",
      "name": "动手实践",
      "description": "亲手把代码敲出来、把东西跑起来的记录。"
    },
    {
      "id": "harness",
      "name": "Harness 工程",
      "description": "模型之外的那一整套系统：循环、状态、队列、权限、恢复与观测。决定 Agent 能不能从 Demo 变成线上服务。"
    }
  ],
  "count": 15,
  "claims": [
    {
      "id": "four-lines-hide-a-battlefield",
      "text": "LlamaIndex 把 RAG 浓缩成四行代码，但每一行背后都是一片可以优化的战场。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-11-22",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "动手落地AI：我的第一个四行代码构建RAG应用",
        "slug": "first-rag-in-four-lines",
        "series": "动手落地AI",
        "url": "https://chenxu.xin/writing/first-rag-in-four-lines"
      },
      "tags": [
        "rag",
        "llamaindex",
        "hands-on"
      ],
      "url": "https://chenxu.xin/writing/first-rag-in-four-lines#four-lines-hide-a-battlefield"
    },
    {
      "id": "rag-moat-is-data-processing",
      "text": "RAG 产品的护城河往往不在模型端，而在数据处理端：谁能把复杂文档解析得更干净，谁的效果就更好。",
      "stance": "judgment",
      "confidence": "medium",
      "note": null,
      "formed_at": "2025-11-22",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "动手落地AI：我的第一个四行代码构建RAG应用",
        "slug": "first-rag-in-four-lines",
        "series": "动手落地AI",
        "url": "https://chenxu.xin/writing/first-rag-in-four-lines"
      },
      "tags": [
        "rag",
        "llamaindex",
        "hands-on"
      ],
      "url": "https://chenxu.xin/writing/first-rag-in-four-lines#rag-moat-is-data-processing"
    },
    {
      "id": "chunk-size-is-a-tradeoff",
      "text": "chunk_size 是检索颗粒度与 Token 成本的博弈，similarity_top_k 要按业务场景定。",
      "stance": "fact",
      "confidence": null,
      "note": null,
      "formed_at": "2025-11-22",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "动手落地AI：我的第一个四行代码构建RAG应用",
        "slug": "first-rag-in-four-lines",
        "series": "动手落地AI",
        "url": "https://chenxu.xin/writing/first-rag-in-four-lines"
      },
      "tags": [
        "rag",
        "llamaindex",
        "hands-on"
      ],
      "url": "https://chenxu.xin/writing/first-rag-in-four-lines#chunk-size-is-a-tradeoff"
    },
    {
      "id": "rag-is-open-book-exam",
      "text": "RAG 不是大模型学会了知识，它只是在做一场开卷考试：检索系统 + 阅读理解系统。",
      "stance": "fact",
      "confidence": null,
      "note": null,
      "formed_at": "2025-11-22",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "动手落地AI：我的第一个四行代码构建RAG应用",
        "slug": "first-rag-in-four-lines",
        "series": "动手落地AI",
        "url": "https://chenxu.xin/writing/first-rag-in-four-lines"
      },
      "tags": [
        "rag",
        "llamaindex",
        "hands-on"
      ],
      "url": "https://chenxu.xin/writing/first-rag-in-four-lines#rag-is-open-book-exam"
    },
    {
      "id": "demo-to-product-gap",
      "text": "从 Demo 到 Product，还差数据持久化、复杂文档解析和自动化评测这三件事。",
      "stance": "judgment",
      "confidence": "medium",
      "note": null,
      "formed_at": "2025-11-22",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "动手落地AI：我的第一个四行代码构建RAG应用",
        "slug": "first-rag-in-four-lines",
        "series": "动手落地AI",
        "url": "https://chenxu.xin/writing/first-rag-in-four-lines"
      },
      "tags": [
        "rag",
        "llamaindex",
        "hands-on"
      ],
      "url": "https://chenxu.xin/writing/first-rag-in-four-lines#demo-to-product-gap"
    },
    {
      "id": "pm-four-questions-for-cv",
      "text": "产品经理理解 CV 技术的抓手是核心四问：业务问题、输入输出、性能边界、落地成本。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-09-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "产品经理视角学AI——CV领域（一）",
        "slug": "pm-learning-cv-1",
        "series": "AI技术理解",
        "url": "https://chenxu.xin/writing/pm-learning-cv-1"
      },
      "tags": [
        "cv",
        "learning-path",
        "ai-pm"
      ],
      "url": "https://chenxu.xin/writing/pm-learning-cv-1#pm-four-questions-for-cv"
    },
    {
      "id": "resolution-quadruples-pixels",
      "text": "分辨率翻倍会让像素数变成四倍，成本-质量曲线是每个 CV 产品都必须做的战略取舍。",
      "stance": "fact",
      "confidence": null,
      "note": null,
      "formed_at": "2025-09-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "产品经理视角学AI——CV领域（一）",
        "slug": "pm-learning-cv-1",
        "series": "AI技术理解",
        "url": "https://chenxu.xin/writing/pm-learning-cv-1"
      },
      "tags": [
        "cv",
        "learning-path",
        "ai-pm"
      ],
      "url": "https://chenxu.xin/writing/pm-learning-cv-1#resolution-quadruples-pixels"
    },
    {
      "id": "risk-shifted-to-data-quality",
      "text": "从 SIFT 到 CNN，产品风险从「算法设计得对不对」转移到了「数据质量够不够」。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-09-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "产品经理视角学AI——CV领域（一）",
        "slug": "pm-learning-cv-1",
        "series": "AI技术理解",
        "url": "https://chenxu.xin/writing/pm-learning-cv-1"
      },
      "tags": [
        "cv",
        "learning-path",
        "ai-pm"
      ],
      "url": "https://chenxu.xin/writing/pm-learning-cv-1#risk-shifted-to-data-quality"
    },
    {
      "id": "detection-and-generation-are-tradeoffs",
      "text": "检测选 YOLO 还是 R-CNN、生成选 GAN 还是扩散模型，本质都是速度与精度的场景取舍。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-09-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "产品经理视角学AI——CV领域（一）",
        "slug": "pm-learning-cv-1",
        "series": "AI技术理解",
        "url": "https://chenxu.xin/writing/pm-learning-cv-1"
      },
      "tags": [
        "cv",
        "learning-path",
        "ai-pm"
      ],
      "url": "https://chenxu.xin/writing/pm-learning-cv-1#detection-and-generation-are-tradeoffs"
    },
    {
      "id": "architecture-is-a-snapshot",
      "text": "架构优劣只是时间快照，今天最优的选择 18 个月后可能过时，产品战略要保留架构灵活性。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-09-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "产品经理视角学AI——CV领域（一）",
        "slug": "pm-learning-cv-1",
        "series": "AI技术理解",
        "url": "https://chenxu.xin/writing/pm-learning-cv-1"
      },
      "tags": [
        "cv",
        "learning-path",
        "ai-pm"
      ],
      "url": "https://chenxu.xin/writing/pm-learning-cv-1#architecture-is-a-snapshot"
    },
    {
      "id": "immersion-before-judgment",
      "text": "理解 AI 的前提是沉浸其中：先成为顶尖模型的重度使用者，再谈判断力。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-07-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "入门AI PM，我在学什么",
        "slug": "ai-pm-what-im-learning",
        "series": "入门系列文章",
        "url": "https://chenxu.xin/writing/ai-pm-what-im-learning"
      },
      "tags": [
        "ai-pm",
        "learning-method",
        "evaluation"
      ],
      "url": "https://chenxu.xin/writing/ai-pm-what-im-learning#immersion-before-judgment"
    },
    {
      "id": "read-papers-with-questions",
      "text": "读论文要带着问题批判性地读，重点是识别技术不足与落地鸿沟，而不是复述结论。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-07-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "入门AI PM，我在学什么",
        "slug": "ai-pm-what-im-learning",
        "series": "入门系列文章",
        "url": "https://chenxu.xin/writing/ai-pm-what-im-learning"
      },
      "tags": [
        "ai-pm",
        "learning-method",
        "evaluation"
      ],
      "url": "https://chenxu.xin/writing/ai-pm-what-im-learning#read-papers-with-questions"
    },
    {
      "id": "evaluation-is-the-first-skill",
      "text": "评测是 AI 产品落地的基石，也是 AI PM 的第一大技能——用评测驱动产研团队。",
      "stance": "judgment",
      "confidence": "high",
      "note": null,
      "formed_at": "2025-07-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "入门AI PM，我在学什么",
        "slug": "ai-pm-what-im-learning",
        "series": "入门系列文章",
        "url": "https://chenxu.xin/writing/ai-pm-what-im-learning"
      },
      "tags": [
        "ai-pm",
        "learning-method",
        "evaluation"
      ],
      "url": "https://chenxu.xin/writing/ai-pm-what-im-learning#evaluation-is-the-first-skill"
    },
    {
      "id": "competitive-research-goes-to-algorithms",
      "text": "竞品调研要深入到「算法如何实现」的层面，而不是停留在功能对比。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-07-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "入门AI PM，我在学什么",
        "slug": "ai-pm-what-im-learning",
        "series": "入门系列文章",
        "url": "https://chenxu.xin/writing/ai-pm-what-im-learning"
      },
      "tags": [
        "ai-pm",
        "learning-method",
        "evaluation"
      ],
      "url": "https://chenxu.xin/writing/ai-pm-what-im-learning#competitive-research-goes-to-algorithms"
    },
    {
      "id": "dual-empathy",
      "text": "AI 产品经理的核心是「双重同理心」：既理解用户，也理解 AI 本身。",
      "stance": "judgment",
      "confidence": null,
      "note": null,
      "formed_at": "2025-07-25",
      "supersedes": null,
      "superseded_by": null,
      "source": {
        "title": "入门AI PM，我在学什么",
        "slug": "ai-pm-what-im-learning",
        "series": "入门系列文章",
        "url": "https://chenxu.xin/writing/ai-pm-what-im-learning"
      },
      "tags": [
        "ai-pm",
        "learning-method",
        "evaluation"
      ],
      "url": "https://chenxu.xin/writing/ai-pm-what-im-learning#dual-empathy"
    }
  ],
  "updated_at": "2026-09-02"
}