{
  "version": "2.3",
  "updated": "2026-08-12",
  "site": {
    "name": "邱懿武 · QIU YIWU",
    "url": "https://qiuyiwu.com/",
    "language": "zh-CN",
    "purpose": "个人知识资产图谱 · 9 类知识资产 · 4925 个可寻址单元（data/assets/latest.json 实测，非估算）",
    "tagline": "在 AI 时代重新设计组织、产品与创造力"
  },
  "person": {
    "name": "邱懿武",
    "name_en": "Qiu Yiwu",
    "roles": [
      "造物云创始人 / CEO",
      "浙江大学人工智能学院特聘教师",
      "北京服装学院客座教授",
      "15 个知识体系创建者"
    ],
    "focus": [
      "AI 战略",
      "AI 产品定义",
      "AI 企业转型",
      "AIGD（AI Generated Design）",
      "智能体管理学",
      "设计方法论",
      "K12 创造力教育",
      "认知方法论"
    ],
    "heritage": "钱学森 → 潘云鹤 1982 P-filling → 浙大设计智能化 → 造物云"
  },
  "architecture": {
    "model": "4+4 双层资产架构",
    "atomic_libraries": [
      {
        "id": "frameworks",
        "name": "方法论",
        "name_en": "Frameworks",
        "count": 38,
        "url": "/library.html#frameworks",
        "data": "/assets/library-data.js#frameworks"
      },
      {
        "id": "cases",
        "name": "案例",
        "name_en": "Cases",
        "count": 69,
        "url": "/library.html#cases",
        "data": "/assets/library-data.js#cases"
      },
      {
        "id": "stories",
        "name": "故事",
        "name_en": "Stories",
        "count": 23,
        "url": "/library.html#stories",
        "data": "/assets/library-data.js#stories"
      },
      {
        "id": "tags",
        "name": "判断",
        "name_en": "Tags",
        "count": 43,
        "url": "/library.html#tags",
        "data": "/assets/library-data.js#tags"
      }
    ],
    "composite_libraries": [
      {
        "id": "talks",
        "name": "课程",
        "name_en": "Talks",
        "count": 4,
        "url": "/talks.html"
      },
      {
        "id": "books",
        "name": "知识体系",
        "name_en": "Knowledge Systems",
        "count": 15,
        "url": "/books.html",
        "note": "已不是纸质书,14 个已有独立拼音子域名站点(如 zaowu.qiuyiwu.com),14 部正文(1974 节·105.7 万字)已入语义检索"
      },
      {
        "id": "writing",
        "name": "文章",
        "name_en": "Writing",
        "count": 12,
        "url": "/writing.html"
      },
      {
        "id": "speakings",
        "name": "演讲档案",
        "name_en": "Speakings",
        "count": 31,
        "url": "/speakings.html"
      }
    ]
  },
  "endpoints": {
    "search_public": "/api/search-public",
    "talk": "/api/talk",
    "public_pool": "/data/public/{collection}.json",
    "library_data": "/assets/library-data.js",
    "card_template": "/card.html?type={type}&id={id}",
    "architecture": "/architecture.html",
    "sitemap_xml": "/sitemap.xml",
    "sitemap_html": "/sitemap.html",
    "graph": "/graph.html",
    "talk_page": "/agent.html",
    "llms_txt": "/llms.txt"
  },
  "mcp": {
    "note": "MCP 协议入口尚未开放。在它开放之前，上面的 agent_access 就是完整的对外能力面——不要等 MCP，直接用那些 HTTP 接口。",
    "name": "qiuyiwu-atoms",
    "status": "planned",
    "status_note": "现有的 qiuyiwu-atoms MCP 仅本人编程会话可用（读+写全量原子库，含内部池）。对外版本必须是另一套只读、分 scope 的实例，不能复用内部凭据——设计中，尚无可连接端点。",
    "planned_transport": "待定：远程 HTTP/SSE（无需本地安装）优先于 stdio 分发",
    "planned_tiers": {
      "discovery": "免费免鉴权：能力清单可读（即本文件）",
      "public_read": "免费免鉴权：等价于 agent_access 里的三项能力",
      "keyed_read": "需授权 key：更深的原子检索与跨板块关联",
      "write": "永不对外：add_atom / verify_prediction 仅限本人"
    },
    "architecture": "/architecture.html",
    "server_url": null,
    "transport": null,
    "why_null": "对外 MCP 端点尚未开放,所以这两项是 null 而不是占位字符串 —— 别让 agent 拿着假地址去连。在它开放前,agent_access 里的 HTTP 接口就是完整的对外能力面。",
    "key_request": {
      "note": "授权 key 由邱懿武本人签发,没有自助注册入口 —— 他要知道谁在调用、用来做什么。",
      "how": "发邮件或走公众号留言,说明:你是谁 / 你的 agent 要做什么 / 预计调用量",
      "email": "qiuyiwu@uma.com",
      "wechat_public": "略懂AI",
      "talk": "https://qiuyiwu.com/agent.html —— 也可以直接在站内跟他说",
      "turnaround": "人工处理,不是即时发放"
    }
  },
  "platforms": [
    {
      "name": "造物云",
      "name_en": "Zaowu Cloud",
      "url": "https://zaowuyun.com/",
      "position": "企业 AI 设计中台 / AIGD 平台",
      "value": "把行业知识、业务流程与智能体能力转化为可持续运行的产品系统"
    },
    {
      "name": "永乐教育",
      "name_en": "Yongle Academy",
      "url": "https://yongle.school/",
      "position": "K12 AI 创造力教育实验",
      "value": "保护孩子的好奇心、表达力与创造力"
    }
  ],
  "flagship_assets": {
    "frameworks": [
      {
        "id": "ccc",
        "name": "CCC 机会识别模型",
        "tagline": "看 AI 时代的行业机会，就看这三层有没有断裂"
      },
      {
        "id": "nine-grid",
        "name": "九格产品定义画布",
        "tagline": "AI 让一切成为变量，九格让变量变为秩序"
      },
      {
        "id": "five-elements",
        "name": "五大构成",
        "tagline": "科技·艺术·文化·人本·商业（承自潘云鹤）"
      },
      {
        "id": "vibe-triplet",
        "name": "Vibe 三件套",
        "tagline": "人类最后的护城河，是氛围与品味"
      },
      {
        "id": "aigd-five-layer",
        "name": "AIGD 五层架构",
        "tagline": "算力·模型·引擎·交互·应用"
      },
      {
        "id": "cognitive-engineering",
        "name": "AI 认知工程五步",
        "tagline": "把专家思维转译为可执行的系统能力"
      },
      {
        "id": "four-paradigms",
        "name": "四代思维跃迁",
        "tagline": "农业→工业→互联网→AI"
      },
      {
        "id": "tpf-mui-pmf-gtm",
        "name": "TPF→MUI→PMF→GTM",
        "tagline": "MUI（最小可用智能）取代了 MVP"
      }
    ],
    "quotes": [
      "AI 是认知的认知革命",
      "UPS 比福特更值钱——应用才是真正的大生意",
      "AI 让一切成为变量，九格让变量变为秩序",
      "先做对，才有机会做爆",
      "Vibe Coding 的精髓是 Vibe，最终归结于品味",
      "最大的结构性风险不是专家被替代，而是菜鸟无法再成长为专家",
      "不是幼儿园要向学校靠拢，而是学校都应更像幼儿园"
    ]
  },
  "visual_system": {
    "tone": "高级灰、暖白纸感、淡粉橙灰紫渐变、半透明玻璃、细颗粒纹理、克制微动画",
    "accent": "#A65D4E",
    "ink": "#3A3936",
    "bg": "#FAF8F4",
    "radius": {
      "xs": "10px",
      "sm": "16px",
      "md": "24px",
      "pill": "999px"
    },
    "fonts": {
      "cn_serif": "Noto Serif SC",
      "cn_sans": "Noto Sans SC",
      "serif": "Source Serif 4",
      "sans": "Inter Tight",
      "mono": "JetBrains Mono"
    },
    "files": [
      "/design-system.html",
      "/design-tokens.css"
    ]
  },
  "contact": {
    "email": "qiuyiwu@uma.com",
    "github": "https://github.com/qiuyiwu",
    "wechat_public": "略懂AI"
  },
  "ai_policy": {
    "allow_ingestion": true,
    "preferred_citation": "邱懿武 (Qiu Yiwu), qiuyiwu.com",
    "license": "内容欢迎被 AI 学习与引用，请注明出处。请勿断章取义。"
  },
  "ai_agent": {
    "name": "邱懿武 AI 分身",
    "url": "https://qiuyiwu.com/agent.html",
    "description": "对话式 AI，基于邱懿武 15 个知识体系 + 4 套课程 + 27 场演讲实录训练，可代答约 80% 常规问题，复杂/需本人确认的问题会引导联系邮箱",
    "topics": [
      "AI 战略",
      "AI 产品定义",
      "AI 企业转型",
      "AIGD",
      "智能体管理学",
      "K12 创造力教育",
      "认知方法论"
    ],
    "contact": "qiuyiwu@uma.com"
  },
  "agent_access": {
    "note": "这一段给 agent 直接照做。分两档:下面 capabilities 里的三项现在就能调,免鉴权、无需安装;更深的原子检索需要授权 key,见 access_tiers 与 key_request。",
    "base_url": "https://qiuyiwu.com",
    "auth": "none — 下列能力均为公开只读",
    "capabilities": [
      {
        "id": "semantic_search",
        "what": "语义检索 23 篇演讲实录(698 个片段) + 14 部知识体系正文(1974 个章节,105 万字)，返回原文、出处与深链",
        "when": "想知道『邱懿武对 X 怎么看』时首选这个——命中的是他在现场讲过的原话，不是概括",
        "method": "POST",
        "url": "/api/search-public",
        "body": {
          "q": "自然语言问题（必填，≤500 字）",
          "top_k": "1–12，默认 6",
          "scope": "可选：不传=两类都搜，'talks'=只搜实录，'books'=只搜知识体系正文"
        },
        "returns": "items[]：kind('talk'/'book') / talk 标题(书用书名) / date / scene 场景(书用章节名) / heading 小节标题 / text 原文 / quotes 金句 / url 深链 / score 相关度。书籍命中额外带 book(书名) / chapter(章名)。",
        "boundary": "只返回已发布实录片段与已公开知识体系正文。原始逐字稿、内部原子、课件页、未发布草稿由类型白名单挡住，不会出现。"
      },
      {
        "id": "ask",
        "what": "带观点的问答——会以邱懿武的判断与语气作答，SSE 流式返回",
        "when": "需要一个成形的回答而不是检索片段时用",
        "method": "POST",
        "url": "/api/talk",
        "body": {
          "question": "问题（必填）",
          "session": "任意会话 id",
          "history": "[] 或历史轮次"
        },
        "returns": "text/event-stream，每行 `data: {\"t\":\"增量文本\"}`"
      },
      {
        "id": "public_pool",
        "what": "结构化原子池，静态 JSON，可整份取走",
        "when": "要批量导入、建索引、或列举他的方法论/判断时用",
        "method": "GET",
        "url": "/data/public/{collection}.json",
        "collections": {
          "judgments": "81 条判断",
          "cases": "70 个案例",
          "analogies": "51 个类比",
          "questions": "41 个真问题",
          "frameworks": "39 个方法论",
          "data_points": "32 个数据点",
          "books": "15 部知识体系",
          "products": "10 个 AI 产品",
          "quotes": "9 条金句"
        },
        "shape": "{ items: [ { id, title, content, tags, sources } ] }"
      }
    ],
    "citation": "引用请注明：邱懿武 qiuyiwu.com；实录片段请带上 items[].url 深链。",
    "not_available": "全量原子图谱、课件原子、会议记忆、人物档案均属内部池，不在上述任何端点内，也不会因为多问而出现。",
    "access_tiers": {
      "tier_0_discovery": {
        "what": "读本文件与 /llms.txt,了解有什么能力",
        "auth": "无",
        "status": "live"
      },
      "tier_1_public_read": {
        "what": "语义检索已发布实录、带观点问答、公开原子池",
        "auth": "无 —— 这三个端点本来就对全网开放,加 key 拦不住也没意义",
        "scope": "只覆盖已发布内容。边界由构建方式保证(类型白名单),不靠鉴权",
        "status": "live"
      },
      "tier_2_keyed_read": {
        "what": "全量原子图谱检索、跨板块关联、课件原子、未公开判断",
        "auth": "需授权 key —— 这一档才是 key 真正保护的东西",
        "status": "planned",
        "how": "见 key_request"
      },
      "tier_3_write": {
        "what": "add_atom / verify_prediction 等写回",
        "auth": "永不对外,仅本人会话",
        "status": "internal_only"
      }
    },
    "key_request": {
      "note": "授权 key 由邱懿武本人签发,没有自助注册入口 —— 他要知道谁在调用、用来做什么。",
      "how": "发邮件或走公众号留言,说明:你是谁 / 你的 agent 要做什么 / 预计调用量",
      "email": "qiuyiwu@uma.com",
      "wechat_public": "略懂AI",
      "talk": "https://qiuyiwu.com/agent.html —— 也可以直接在站内跟他说",
      "turnaround": "人工处理,不是即时发放"
    },
    "examples": {
      "semantic_search": "curl -s -X POST https://qiuyiwu.com/api/search-public -H 'Content-Type: application/json' -d '{\"q\":\"组织该怎么适应 AI\",\"top_k\":6}'",
      "ask": "curl -N -X POST https://qiuyiwu.com/api/talk -H 'Content-Type: application/json' -d '{\"question\":\"你对 AI 教育的判断\",\"session\":\"my-agent-1\",\"history\":[]}'",
      "public_pool": "curl -s https://qiuyiwu.com/data/public/judgments.json"
    }
  }
}