{
  "version": 1,
  "generated_at": "2026-09-15T11:28:11.169Z",
  "site": {
    "name": "ReadyForAI",
    "url": "https://readyforai.com",
    "description": "Digital workforce infrastructure (NodalOS + AULO + PathPilot + HeronSentry + OwlAudit + PrismCouncil + LarkScout + HarnessServer)"
  },
  "products": [
    {
      "id": "product.aulo",
      "name": "AULO",
      "one_liner": "把人和 Agent 团队的待办、对话、议事与治理操作，收进同一张工作台",
      "does": [
        "统一待办：升级任务、议事待决、HITL 审批与未分配 Agent",
        "Agent 控制台：Agent 组织总览、项目路径、健康监控与运行下钻",
        "人类审批入口：高风险与合规动作的人机确认与结果回写",
        "集中观测与告警：HeronSentry 告警浏览与调用链检索",
        "Agent 绩效看板：多维度客观指标对照展示（只读）"
      ],
      "does_not": [
        "不运行 Agent 运行时，不在前端/本地直接执行大模型推理",
        "不持有合规策略定义（策略判定归 OwlAudit，AULO 负责人类审批交互与结果回写）",
        "不独立持久化业务底层数据（任务归 PathPilot、审计归 OwlAudit、观测归 HeronSentry，AULO 仅做网关聚合）"
      ],
      "pains": [
        "随着 Agent 规模扩大，团队往往需要分散盯守多个独立的监控仪表盘",
        "审批和告警散落在邮件、IM、工单系统",
        "人和 Agent 的协作过程没有统一记录"
      ],
      "capabilities": [
        {
          "title": "统一待办 Inbox",
          "desc": "汇聚 PathPilot 升级与未分配 Agent、PrismCouncil 待决、OwlAudit HITL；告警在告警页，不进待办"
        },
        {
          "title": "Agent 控制台",
          "desc": "Agent 组织、项目路径、资源总览；点开 Agent 看健康、编排与绩效。授权启停在管理页"
        },
        {
          "title": "高风险操作审批入口",
          "desc": "待办内批示并回写上游。通知渠道可在离岗时提醒，批示仍需登录。AULO 不内置审批引擎"
        },
        {
          "title": "消息备忘录",
          "desc": "重要消息可标为备忘（每用户上限 30 条），工作台备忘面板可回看。跳转到原文仅限当前会话"
        },
        {
          "title": "对话与讨论",
          "desc": "与 Coordinator 一对一；多 Agent 讨论经 NodalOS 运行时中转。AULO 不跑模型"
        },
        {
          "title": "Agent 绩效面板",
          "desc": "汇总 PathPilot、HeronSentry、OwlAudit 三路数据，按角色组对照展示，不算综合分"
        },
        {
          "title": "知识与内容",
          "desc": "在工作台编写并分配 SOP、规则、技能与人格；内容存 LarkScout"
        },
        {
          "title": "告警页",
          "desc": "HeronSentry 告警列表、规则与 Trace 检索"
        }
      ],
      "integrations": [
        "PathPilot 任务与项目控制面",
        "HeronSentry 告警、Trace 与运行指标",
        "OwlAudit 审批与合规",
        "PrismCouncil 议事",
        "LarkScout 知识与数据源",
        "NodalOS 运行时与对话传输",
        "HarnessServer 会话与检索（按部署）",
        "企业 IdP / OIDC 登录；可选本地应急超管"
      ],
      "metrics": [
        {
          "value": "一处入口",
          "label": "待办 · 控制台 · 对话 · 议事"
        },
        {
          "value": "网关聚合",
          "label": "业务状态留在各治理产品"
        },
        {
          "value": "人类在环",
          "label": "批示与确认回写上游"
        }
      ],
      "intents": [
        "governance_pain_diagnosis",
        "product_overview",
        "product_detail",
        "harness_engineering",
        "multi_agent_collaboration"
      ],
      "related_products": [
        "pathpilot",
        "owlaudit",
        "heronsentry",
        "prismcouncil"
      ],
      "canonical_url": "https://readyforai.com/products/aulo"
    },
    {
      "id": "product.harnessserver",
      "name": "HarnessServer",
      "one_liner": "面向 Agent 宿主环境的上下文供给与能力分发组件",
      "does": [
        "双侧按需上下文注入：Worker 拉取任务上下文索引，Coordinator 按信号提取 SOP",
        "按角色 Workspace 预先装配：技能审批后自动部署，SOP / Rule 按权限同步就位",
        "SkillScan 部署前静态扫描：提供 Python AST 危险模式与依赖扫描（可选）",
        "上下文快照与 Content Version 溯源：在 Trace 记录版本，实现上下文变更审计",
        "主流框架适配文件生成：自动生成 CLAUDE.md / AGENTS.md / NODAL.md 等上下文文件",
        "独立可用与扩展对接：可单机独立提供 REST + MCP 供给，亦可联动 LarkScout 知识库"
      ],
      "does_not": [
        "不负责原始文档采集与知识加工（上游知识提炼与 Claim 编译由 LarkScout 完成）",
        "不提供无鉴权的全局共享记忆池（管理型记忆基于双时态严格隔离，仅授权 Agent 可访问）",
        "不接管底层进程沙箱与系统调用（底层容器与操作系统级管控由 NodalOS 承载）"
      ],
      "pains": [
        "每个 Workspace 都要手工配 prompt 和工具",
        "Agent 进入项目后还要摸索几轮才有用",
        "新 Agent 上线缺乏标准的入职流程"
      ],
      "capabilities": [
        {
          "title": "双侧按需注入",
          "desc": "执行层 Worker 在任务开始或刷新时拉取执行上下文索引；编排层 Coordinator 按动作信号按需取用处理 SOP，不把 SOP 全文预注入主配置"
        },
        {
          "title": "Workspace 预先备好",
          "desc": "交付/批准完成后，Workspace 里已有主配置、已部署 Skill 和可见上下文索引；SOP 仍按动作按需拉取"
        },
        {
          "title": "Skill 部署",
          "desc": "LarkScout 同步 Skill 包到本地缓存，人工确认授权后部署到对应 Agent 的 skills 目录；SOP 与 Rule 按角色可见性自动同步就位"
        },
        {
          "title": "SkillScan 部署前扫描",
          "desc": "可选。开启后在 Skill 部署前对 Python 做 AST 危险模式、污点追踪与依赖清单扫描。默认关闭；不是运行时沙箱，也不替代人审授权"
        },
        {
          "title": "上下文文件生成",
          "desc": "按框架生成 CLAUDE.md / AGENTS.md / NODAL.md；主配置可插入公共段并保持字节稳定，以便复用厂商 Prompt Cache"
        },
        {
          "title": "按角色与配置分发",
          "desc": "按 coordinator / worker 可见性，以及 Agent 的 class / skeleton / 已购产品，下发不同 Skill、SOP、Rule"
        },
        {
          "title": "MCP 与 REST 同机提供",
          "desc": "独立模式默认在同一端口提供 REST 与 MCP-SSE；MCP 不是全部能力的唯一入口"
        },
        {
          "title": "任务上下文快照",
          "desc": "任务开始时记录当时可见内容集合与版本，注入面在 Trace 上戳 Content Version。快照是审计元数据，不是内容树的字节级冻结"
        },
        {
          "title": "双时态管理型记忆",
          "desc": "开启后按业务有效时间与系统记录时间存储，支持按时间点回溯。默认关闭，仅 memory_access 授权的 Agent 可查询，不向未授权 Worker 提供"
        },
        {
          "title": "可选对接 LarkScout",
          "desc": "上游知识同步与检索需单独打开，并配置 LarkScout 地址与对应凭证；不配也可只服务本地已有内容"
        }
      ],
      "integrations": [
        "LarkScout 上游知识同步与检索（配地址与凭证后启用）",
        "NodalOS Workspace",
        "Agent 框架上下文文件",
        "独立模式下为 AULO 提供对话通道；接入 NodalOS 后对话不经本服务"
      ],
      "metrics": [
        {
          "value": "预先备好",
          "label": "主配置与 Skill 先就位"
        },
        {
          "value": "按角色",
          "label": "coordinator / worker 分发"
        },
        {
          "value": "REST + MCP",
          "label": "独立模式同端口"
        }
      ],
      "intents": [
        "governance_pain_diagnosis",
        "product_overview",
        "product_detail",
        "harness_engineering",
        "multi_agent_collaboration",
        "security_permissions"
      ],
      "related_products": [
        "larkscout",
        "nodalos",
        "aulo"
      ],
      "canonical_url": "https://readyforai.com/products/harnessserver"
    },
    {
      "id": "product.heronsentry",
      "name": "HeronSentry",
      "one_liner": "独立可用的 AI Agent 观测面：追踪、成本、告警与性能分析",
      "does": [
        "标准 OTLP 协议接收：全面支持 Traces / Metrics / Logs 实时入库",
        "端到端分布式调用链：还原 Agent 思考、工具调用与模型交互拓扑",
        "精细化 Token 成本核算：按缓存读写拆分，支持实时成本归因与分析",
        "多维度智能告警：错误率、成本突增、积压与异常调用的实时告警及 Webhook",
        "Agent 专项可靠性指标：首字延迟（TTFT）、截断率、工具拒绝率分析",
        "数据分析与审计导出：为 OwlAudit 及管理层提供指标与审计数据支撑"
      ],
      "does_not": [
        "不作为通用企业海量全文检索日志中心（专注于 Agent 运行时关联的 OTLP 结构化链路与日志）",
        "不替代主机与网络级基础设施监控（专注于 Agent 应用层与大模型交互语义层观测）",
        "不执行主动任务干预与阻断（仅负责只读观测与告警，拦截动作归 OwlAudit / NodalOS）"
      ],
      "pains": [
        "Agent 出故障只能看日志，没有调用链",
        "成本到月底才知道，超支已成事实",
        "看不见某个 Agent 是否健康、是否被滥用"
      ],
      "capabilities": [
        {
          "title": "独立可用",
          "desc": "零套件依赖。自带采集、PostgreSQL 存储、告警引擎与调试页"
        },
        {
          "title": "标准 OTLP 接入",
          "desc": "接收 OTLP traces / metrics / logs（HTTP 与 gRPC）。已有 profile：OpenClaw、OpenLLMetry、Claude Code、Codex、Gemini CLI、NodalOS。其它语言可用 HTTP Push 上报 Span"
        },
        {
          "title": "调用链追踪",
          "desc": "同一条 OTel Trace 内按父子与 link 还原调用链，并以 Mermaid 呈现"
        },
        {
          "title": "成本聚合",
          "desc": "按缓存读、缓存写拆分计费，并展示推理 Token。推理 Token 消耗实时呈现，不计入额外计费项"
        },
        {
          "title": "Agent 可靠性指标",
          "desc": "流式首字延迟（TTFT）与截断率（输出触达长度上限）。工具拒绝率、对话轮次仅在源端上报对应字段时可用"
        },
        {
          "title": "告警",
          "desc": "错误率、成本突增、采集积压、同工具高频调用可经 webhook 外发（需配置地址）。延迟尖刺、孤儿 Span、Agent 不活跃默认不走 webhook，仍写入告警页 / 调试页"
        },
        {
          "title": "业务域告警",
          "desc": "可选，默认关闭。开启后可识别进行中任务卡住与连续评审打回。不是任务阻塞链、跨组停滞或预算燃烧告警"
        },
        {
          "title": "策略评估可用性告警",
          "desc": "区分 NodalOS 策略评估器不可达与本地策略回退，与安全拦截不是同一类事件"
        },
        {
          "title": "OTLP 接入限流",
          "desc": "OTLP HTTP 与 gRPC 可共用限流桶（按密钥或对端；默认关闭），不覆盖原生 ingest 通道"
        },
        {
          "title": "拓扑可视化",
          "desc": "单条调用链以 Mermaid 拓扑呈现"
        },
        {
          "title": "性能与成本分析",
          "desc": "成本可按 Agent / Program 聚合。可靠性指标在 Agent 汇总中提供"
        }
      ],
      "integrations": [
        "NodalOS OTLP 推送（需在 NodalOS 侧开启自身遥测上报）",
        "AULO 告警页",
        "PathPilot 成本回写与运行健康（错误率 / P95 / 超时）",
        "OwlAudit 可拉取 traces / 成本 / 告警导出"
      ],
      "metrics": [
        {
          "value": "OTLP",
          "label": "开放协议；语义字段按 profile 映射"
        },
        {
          "value": "全量",
          "label": "默认不采样"
        },
        {
          "value": "实时同步入库",
          "label": "请求内完成持久化"
        },
        {
          "value": "独立",
          "label": "零套件依赖即可部署"
        }
      ],
      "intents": [
        "governance_pain_diagnosis",
        "product_overview",
        "product_detail"
      ],
      "related_products": [
        "nodalos",
        "owlaudit",
        "aulo",
        "pathpilot"
      ],
      "canonical_url": "https://readyforai.com/products/heronsentry"
    },
    {
      "id": "product.larkscout",
      "name": "LarkScout",
      "one_liner": "面向 Agent 的企业级知识平台",
      "does": [
        "结构化 Claim 抽取与知识视图编译：将文档提炼为可引用的最小事实单元",
        "知识矛盾扫描与经验回流：自动识别冲突知识，支持 Agent 经验学习与人工确认",
        "多源企业文档解析与站点策展：支持主流文档格式与语雀/微盘/飞书接入",
        "Agent 内容标准化编译：编译 Skill / SOP / Rule，原生兼容 agentskills.io 规范",
        "SKILL Bundle 批量导入与三层安全门：格式校验、解压防护与 YARA 进程隔离扫描",
        "受保护段声明与官方 MCP 知识检索：支持 Fork 血缘追踪与 mTLS 鉴权接入"
      ],
      "does_not": [
        "不替代企业既有 Wiki 或内容管理系统（定位于面向 Agent 消费的知识编译加工层）",
        "不直接分发/挂载至 Agent 运行时工作区（编译完成后交由 HarnessServer 按角色下发）",
        "不直接向 RAG 注入未提炼的原始粗糙文本（只输出结构化 Claim 与可溯源知识视图）"
      ],
      "pains": [
        "RAG 召回低质量，上下文窗口被噪音填满",
        "经验沉淀不下来，Agent 反复犯同类错误",
        "知识更新后 Agent 还在用旧版本"
      ],
      "capabilities": [
        {
          "title": "Claim 抽取",
          "desc": "从文档 / 网页抽出结构化 Claim（主谓宾），并链接为实体与关系，作为可引用的知识最小单元"
        },
        {
          "title": "知识视图编译",
          "desc": "把多文档 Claim 按主题编译成带引用的知识视图；检索命中只是候选"
        },
        {
          "title": "矛盾扫描",
          "desc": "按同一主谓、不同宾语扫描冲突 Claim，标为 contradicted / uncertain，并在视图中提示人工复核"
        },
        {
          "title": "经验回流",
          "desc": "支持 Agent 学习记录入库，以及经人工确认的 Claim 更正提议"
        },
        {
          "title": "多格式文档解析",
          "desc": "PDF / DOCX / PPTX / XLSX / CSV / HTML / Markdown / 图片 OCR"
        },
        {
          "title": "文档预览",
          "desc": "供 AULO 预览 Markdown 渲染页（LarkScout 不提供交付物下载）"
        },
        {
          "title": "数据接入",
          "desc": "网页 / 文件，以及语雀、企业微信微盘/在线文档、飞书知识库（Wiki）"
        },
        {
          "title": "站点策展采集",
          "desc": "大站点先发现候选 URL，按路径/主题打分并抓标题摘要，再人工勾选子集导入"
        },
        {
          "title": "知识接口",
          "desc": "经官方 MCP，向 NodalOS 受控 Agent 暴露知识检索与更正提议；默认处于关闭状态，仅允许通过 mTLS 安全接入"
        },
        {
          "title": "Agent 内容编译",
          "desc": "将知识视图包装为 Skill / SOP / Rule；SKILL 文件对齐 agentskills.io。下发由 HarnessServer 按同步契约拉取"
        },
        {
          "title": "SKILL Bundle 整包批量导入",
          "desc": "支持上传 ZIP / Tar.gz。可一次导入多个 SKILL 目录，一包最多 20 个；每个目录须有 SKILL.md。对齐 agentskills.io，自动解析元数据与权限声明。公开 GitHub 仓库在线导入已下线"
        },
        {
          "title": "三层入库安全门",
          "desc": "压缩包结构防护（解压炸弹 / Zip-Slip / 符号链接逃逸）、SKILL.md 与目录格式校验、以及进程隔离的 YARA 扫描。默认拦截 critical / high 命中；Layer 2 需部署扫描器，prompt-injection 规则默认不硬拦"
        },
        {
          "title": "受保护段与 Fork 血缘",
          "desc": "SOP / Rule / SKILL 可声明 protected_sections；fork 时继承父版已声明段并校验摘要。未声明段落不在此机制内"
        }
      ],
      "integrations": [
        "NodalOS 运行时与 mTLS",
        "HarnessServer 内容同步与下发",
        "AULO 知识面板与预览",
        "PrismCouncil 独立交付时自管议事 SKILL，不经本服务注册"
      ],
      "metrics": [
        {
          "value": "编译",
          "label": "给的是知识，不是搜索命中"
        },
        {
          "value": "可溯源",
          "label": "Claim 级引用"
        },
        {
          "value": "闭环",
          "label": "矛盾扫描 + 人工确认回流"
        },
        {
          "value": "Skill",
          "label": "对齐 agentskills.io"
        }
      ],
      "intents": [
        "governance_pain_diagnosis",
        "product_overview",
        "product_detail",
        "harness_engineering",
        "security_permissions"
      ],
      "related_products": [
        "harnessserver",
        "nodalos",
        "prismcouncil",
        "aulo"
      ],
      "canonical_url": "https://readyforai.com/products/larkscout"
    },
    {
      "id": "product.nodalos",
      "name": "NodalOS",
      "one_liner": "异构多 Agent 托管平台与治理底座（OS 层）",
      "does": [
        "异构 Agent 统一纳管：支持 Native / Vendor / Sidecar / Basic / Coordinator 等 5 类 RuntimeClass",
        "进程级守护与生命周期调度：agentd 守护进程与 Coordinator 拓扑编排",
        "标准通信与高性能策略引擎：5 类 Fabric 消息通信机制与 CEL 运行时动态策略评估",
        "多产品 MCP 聚合网关：按命名空间统一聚合与投影上层产品能力",
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        },
        {
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          "desc": "基于 Common Expression Language 提供轻量、高效的运行时策略动态评估"
        },
        {
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          "desc": "聚合上游多产品 MCP 供给，按产品命名空间投影给 Agent"
        },
        {
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          "desc": "运行时上下文装配与工作区管理"
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        {
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        "nodalos.org 完整文档"
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        "HITL / HOTL / HOOL 三档介入：由合规策略动态驱动的人机协作门禁",
        "策略双版本溯源：策略变更与审计流水同事务递增版本，全程可追溯",
        "完整人审工单闭环：支持等待、升级流转、超时兜底与决策留痕",
        "合规冻结与动态阻断：在 NodalOS Hook 拦截点执行同步拒绝与状态冻结",
        "客观审计报告与否决率统计：输出合规摘要与客观统计，对接 AULO"
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        "不进行主观黑盒打分（输出客观事实记录与人审否决率，不做不可解释的人工打分）",
        "不替代企业既有 GRC / SIEM 综合治理平台（专注于 Agent 运行时行为控制，提供本服务合规报告）",
        "不做物理链外实体的真伪调查（专注确保已写入账本数据的可验证与完整性校验）"
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        },
        {
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        {
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        {
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          "desc": "等待、升级链、超时兜底、决策留痕；可选 Webhook。角色路由与 PathPilot 回写仅限已对接路径"
        },
        {
          "title": "策略引擎",
          "desc": "命中则执行对应动作。NodalOS Evaluate 无命中缺省放行；ingest 无命中只记账"
        },
        {
          "title": "策略版本溯源",
          "desc": "策略变更与审计记录同事务递增双版本号；NodalOS Evaluate 命中时带版本标识。版本号可追溯当时策略，不是完整策略文本快照"
        },
        {
          "title": "节点投递完整性",
          "desc": "按 NodalOS 实例序号报告已落地记录的缺口。不区分节点静默与正常无动作，也不覆盖源端未编号丢件"
        },
        {
          "title": "预算策略副本",
          "desc": "按客户默认 / Program / Task 分层存储与查询，不预合并；由 PathPilot 等消费方叠加"
        },
        {
          "title": "合规冻结",
          "desc": "写入冻结记录。NodalOS Hook 上同时开人审并拒绝该动作；ingest 只在策略带 category 时开人审。暂停 PathPilot 任务需已对接回写"
        },
        {
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          "desc": "合规状态摘要与模板报告。不做签名合规包，不替代监管申报"
        },
        {
          "title": "NodalOS 同步评估点",
          "desc": "作为已挂接 Hook 的同步外部评估器。未挂接 Hook 与 NodalOS 红线不走本评估"
        },
        {
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          "desc": "自带审计链、HITL 引擎、策略与报告；PathPilot / HeronSentry / AULO / NodalOS 均为可选对接"
        },
        {
          "title": "HITL 审批否决率",
          "desc": "向绩效主线贡献人审否决频度，不是质量分或合规打分"
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      ],
      "integrations": [
        "NodalOS 已挂接 Hook 的同步评估（可选）",
        "AULO 消费 HITL 工单与待办投递（可选）",
        "PathPilot 升级事件接入与有限回写（可选）",
        "从 HeronSentry 拉取审计相关导出（可选）"
      ],
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          "label": "在 NodalOS Hook 拦截点，对命中 HITL 策略的动作执行同步拒绝"
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        {
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        "多层级预算监控：支持 Program / Group / Task 预算状态与超额治理",
        "里程碑治理：按任务依赖动态推算与跨层级汇总",
        "可干预 Pipeline：多阶段流转、决策门禁、重置/跳过与模板控制",
        "智能分派推荐：基于技能与忙闲打分推荐最佳执行 Agent",
        "执行时间线与绩效快照：自报进度归集与 30 天效率质量分析"
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        "不编排法律/合规级人审流（高风险阻断与合规审批归 OwlAudit）",
        "不存储业务大文件与知识正文（只存控制面状态与元数据索引）"
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        "多 Agent 串起来一旦失败说不清在哪一步",
        "没有预算与里程碑，任务规模化后失控",
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          "desc": "监控消耗并分四档预警。Program 预算调整逐笔留痕并关联外部审批单号；任务超预算走覆盖请求，由人或 OwlAudit 回写后执行"
        },
        {
          "title": "里程碑管理",
          "desc": "按依赖任务推算里程碑状态，并沿子孙 Program 汇总"
        },
        {
          "title": "多层级汇总",
          "desc": "嵌套 Program（最多四级）加 Group；预算与里程碑按子孙 Program 汇总"
        },
        {
          "title": "可干预 Pipeline",
          "desc": "多阶段、决策节点、重置 / 跳过、模板；本仓只存状态，由外部执行器推进"
        },
        {
          "title": "智能分派推荐",
          "desc": "打分推荐 assignee；仅在任务标明自动分派时才派单"
        },
        {
          "title": "资源锁",
          "desc": "跨任务锁定同一资源，避免并发冲突"
        },
        {
          "title": "独立可用的控制面",
          "desc": "任务控制面 REST API 支持独立部署与运行；看板 / MCP / 运行时分派需 AULO 或 NodalOS，监控与审计仍可选"
        },
        {
          "title": "质量 · SLA 可观测",
          "desc": "评审轮次、吞吐、SLA 逾期按 Program 直属任务只读聚合，不含子孙 Program"
        },
        {
          "title": "Agent 自报进度",
          "desc": "可选 MCP 工具 report_progress 按 progress_type 与摘要写入任务时间线，AULO 轮询展示。不改任务状态，也不把完成比例写入本工具"
        },
        {
          "title": "多轮评审记录",
          "desc": "任务可列出各轮 result 与摘要。首次通过率来自三十天绩效快照，不是评审列表字段"
        },
        {
          "title": "预算策略副本",
          "desc": "可选拉取 OwlAudit 分层预算策略副本；操作员可冻结本地覆盖、按副本层评估。超额申请仍由人或 OwlAudit 回写后执行"
        },
        {
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          "desc": "每日写入近三十天效率 / 质量快照，与质量 · SLA 接口分开统计"
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        "HeronSentry 成本回写与运行健康",
        "OwlAudit 回写升级 / 预算覆盖，并可合规冻结任务",
        "NodalOS Coordinator 分派、生命周期与 Worker MCP",
        "PrismCouncil 终裁后建立空 Program"
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        {
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        "8 大内置专业顾问多视角推演：覆盖战略、技术、财务、风险、合规等关键维度",
        "议事官智能调度：根据议题分量在单体深度推演与团体多视角研讨间自适应切换",
        "结构化子议题拆解：支持最多两级子议题衍生，继承父题背景与论证深度",
        "结构化 Decision Package 交付：决策包给出项目名与预算，附议事官起草的执行计划初稿（工作分组与任务骨架）",
        "人类终裁与决策溯源：顾问立场全程留痕，人类审批后可转入 PathPilot 立项",
        "常驻数据分析官（CDO）支持：为战略推演提供数据图表与事实依据"
      ],
      "does_not": [
        "绝不替代人类行使最终战略与业务决策权（始终坚持人类终裁原则）",
        "不进行脱离业务目标的娱乐化争辩（所有多视角对抗均以收敛至可执行的 Decision Package 为目的）",
        "不直接执行下游业务任务（决策审批后需转入 PathPilot 进行工程化执行与分派）"
      ],
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        "Agent 单线决策容易漏掉合规和安全维度",
        "决策过程没有可追溯文档，也落不成项目"
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        },
        {
          "title": "议事官调度",
          "desc": "议事官按议题分量在团体议事 / 单体议事之间选择；团体下再定阵容与 quick / standard / deep。人类发起本轮时也可指定模式"
        },
        {
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          "desc": "数据分析官（CDO）为议事提供数据与图表；属数据角色，不是 8 个观点顾问之一，可禁用不可删"
        },
        {
          "title": "对抗轴",
          "desc": "多视角对抗机制内置于各顾问角色设定中，由议事官动态维持观点张力，服务于实质业务推演而非形式化辩论"
        },
        {
          "title": "议事深度可调",
          "desc": "团体议事下可选 quick / standard / deep"
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        {
          "title": "议事会话私密隔离",
          "desc": "每位高管只看得到自己的议题。议事中心权限只决定能不能进入，不改变能看到谁的议事——管理员开通权限后同样只看得到自己的"
        },
        {
          "title": "多层子议题",
          "desc": "最多两级子议题；省略阵容与深度时继承父题，父题背景写入子题。结案或否决后不可新开议事；已转到 PathPilot Program 的议题仍可继续议事"
        },
        {
          "title": "顾问立场与忙闲",
          "desc": "顾问历史立场可查；顾问列表展示当前占用议题。不保存姓名角色履历，也不按忙闲自动换人"
        },
        {
          "title": "开箱议题模板",
          "desc": "7 个内置议题模板，各预配建议阵容与默认深度（可再改；也可自建模板）"
        },
        {
          "title": "Decision Package",
          "desc": "决策包给出项目名、预算与所依据的议事报告；执行计划初稿（工作分组与任务骨架）由议事官另写，部署时随包交 PathPilot 存档"
        },
        {
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          "desc": "人类审批 Decision Package 后，可在 PathPilot 建立 Program（项目群），并由 AULO 回写已立项（需开启 PathPilot 对接）"
        },
        {
          "title": "议事报告",
          "desc": "报告给出明确结论与建议，并附完整议事过程——各顾问立场、所属轮次与阶段可逐条查证"
        },
        {
          "title": "决策可追溯",
          "desc": "顾问历史立场在本服务留痕；人类审批事件在对接 OwlAudit 后可进入审计链"
        },
        {
          "title": "人类终裁",
          "desc": "审批通过才能部署立项；否决由人指令后将议题标为否决。系统绝不替代人类行使最终业务决策权"
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        "AULO 议事面板",
        "OwlAudit 审批事件（可选对接）",
        "PathPilot 立项（需开启对接）",
        "独立交付时自管议事 SKILL，不走 LarkScout / Harness 同步链"
      ],
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        {
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        {
          "value": "可追溯",
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        "executive_brief"
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        "pathpilot",
        "owlaudit",
        "larkscout"
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      "canonical_url": "https://readyforai.com/products/prismcouncil"
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          "product": "aulo",
          "description": "ReadyForAI 构建数字劳动力基础设施；治理闭环是其中一层，不是观测平台或自研拼装"
        },
        {
          "name": "能力覆盖",
          "product": "pathpilot",
          "description": "流程治理 / 审批审计 / 决策 / 知识 / 能力分发完整覆盖"
        },
        {
          "name": "部署形态",
          "product": "owlaudit",
          "description": "原生私有部署 + 不绑定 LLM / Agent 框架"
        }
      ],
      "product_mapping": [
        {
          "problem": "不了解 ReadyForAI 与自研拼装的能力差距",
          "product": "pathpilot",
          "capability": "流程治理 / 审批 / 决策 / 知识 全套替代手写脚本"
        },
        {
          "problem": "已用 LangSmith / Langfuse，犹豫是否升级",
          "product": "aulo",
          "capability": "在观测之上补足审批、流程、决策、知识、统一入口"
        },
        {
          "problem": "担心被云平台 Agent 框架绑定",
          "product": "nodalos",
          "capability": "异构 Agent 纳管，不绑定云厂商 / LLM"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/comparison"
    },
    {
      "id": "intent.governance_diagnosis",
      "slug": "governance-diagnosis",
      "title": "治理痛点诊断",
      "summary": "把模糊的 Agent 治理痛点，拆成可落地的治理域",
      "decomposition": [
        {
          "name": "运行时纳管",
          "product": "nodalos",
          "description": "异构 Agent 统一身份、通信、调度"
        },
        {
          "name": "流程治理",
          "product": "pathpilot",
          "description": "任务流、Pipeline、依赖、分派"
        },
        {
          "name": "运行观测",
          "product": "heronsentry",
          "description": "监控、Trace、成本、告警"
        },
        {
          "name": "审批审计",
          "product": "owlaudit",
          "description": "HITL / HOTL / HOOL、策略版本溯源、节点投递缺口报告"
        },
        {
          "name": "决策机制",
          "product": "prismcouncil",
          "description": "多角色议事、Decision Package"
        },
        {
          "name": "知识供给",
          "product": "larkscout",
          "description": "知识采集、Skill 编译、知识鲜度维护"
        },
        {
          "name": "能力分发",
          "product": "harnessserver",
          "description": "Skill / SOP / 上下文文件按角色下发，SOP 按需再取"
        },
        {
          "name": "统一交互层",
          "product": "aulo",
          "description": "待办、控制台、议事、审批、对话"
        }
      ],
      "product_mapping": [
        {
          "problem": "多框架混用",
          "product": "nodalos",
          "capability": "异构 Agent 统一运行时纳管"
        },
        {
          "problem": "流程混乱",
          "product": "pathpilot",
          "capability": "任务流、Pipeline、依赖、分派"
        },
        {
          "problem": "状态不可见",
          "product": "heronsentry",
          "capability": "监控、Trace、成本、告警"
        },
        {
          "problem": "高风险动作无审批",
          "product": "owlaudit",
          "capability": "HITL / HOTL / HOOL、策略版本溯源、节点投递缺口报告"
        },
        {
          "problem": "重大问题难决策",
          "product": "prismcouncil",
          "capability": "多角色议事、Decision Package"
        },
        {
          "problem": "经验无法沉淀",
          "product": "larkscout",
          "capability": "知识采集、Skill 编译、知识鲜度维护"
        },
        {
          "problem": "能力无法按需分发",
          "product": "harnessserver",
          "capability": "Skill / SOP / 上下文文件按角色下发，SOP 按需再取"
        },
        {
          "problem": "人类缺统一入口",
          "product": "aulo",
          "capability": "待办、控制台、议事、告警、对话"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/governance-diagnosis"
    },
    {
      "id": "intent.harness_engineering",
      "slug": "harness-engineering",
      "title": "Harness 工程",
      "summary": "模型之外的那一层——Agent 担任什么角色、要守哪些企业制度、能用哪些知识——决定它能不能在企业里可靠干活。看 ReadyForAI 怎么把这一层做成工程。",
      "decomposition": [
        {
          "name": "Agent 角色",
          "product": "harnessserver",
          "description": "按 Coordinator / Worker 可见性，以及 Agent 的 class / skeleton / 已购产品，下发不同的 Skill、SOP、Rule"
        },
        {
          "name": "岗位工作区",
          "product": "harnessserver",
          "description": "交付或批准完成后，Workspace 里已有主配置、已部署 Skill 与上下文索引；按框架生成 CLAUDE.md / AGENTS.md / NODAL.md"
        },
        {
          "name": "企业制度",
          "product": "larkscout",
          "description": "把知识视图编译成 Skill / SOP / Rule；规程可声明受保护段，fork 时继承并校验摘要"
        },
        {
          "name": "知识编译",
          "product": "larkscout",
          "description": "从文档抽取结构化 Claim，按主题编译成带引用的知识视图，并扫描互相矛盾的 Claim"
        },
        {
          "name": "知识分发",
          "product": "harnessserver",
          "description": "Worker 开工时拉取任务上下文索引，Coordinator 按动作信号取用 SOP，不把 SOP 全文预注入主配置"
        },
        {
          "name": "编写与分配",
          "product": "aulo",
          "description": "在工作台编写并分配 SOP、规则、技能与人格，内容存 LarkScout"
        }
      ],
      "product_mapping": [
        {
          "problem": "每个 Workspace 都要手工配 prompt 和工具",
          "product": "harnessserver",
          "capability": "按角色预先装配 Workspace：主配置、已部署 Skill 与上下文索引交付即就位"
        },
        {
          "problem": "同一套制度要适配 Claude Code、Codex 等不同框架",
          "product": "harnessserver",
          "capability": "按框架生成 CLAUDE.md / AGENTS.md / NODAL.md；主配置可插入公共段并保持字节稳定"
        },
        {
          "problem": "文档很多，Agent 用不上",
          "product": "larkscout",
          "capability": "Claim 抽取与知识视图编译；矛盾 Claim 标出并提示人工复核"
        },
        {
          "problem": "SOP 与规则写了，没落到执行上",
          "product": "larkscout",
          "capability": "编译为 Skill / SOP / Rule，由 HarnessServer 按角色可见性同步到对应 Agent"
        },
        {
          "problem": "事后说不清 Agent 当时依据的是哪版内容",
          "product": "harnessserver",
          "capability": "任务开始时记录可见内容集合与版本，在 Trace 上标注 Content Version"
        },
        {
          "problem": "Agent 反复犯同类错误",
          "product": "larkscout",
          "capability": "经验回流：Agent 学习记录入库，Claim 更正提议经人工确认"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/harness-engineering"
    },
    {
      "id": "intent.integration",
      "slug": "integration",
      "title": "现有架构接入评估",
      "summary": "已经在用 Claude Code / Codex / Grok，或基于主流 SDK 开发的 Agent，评估 ReadyForAI 接入路径",
      "decomposition": [
        {
          "name": "统一身份",
          "product": "nodalos",
          "description": "NodalOS 以多形态 RuntimeClass 纳管异构 Agent"
        },
        {
          "name": "通信总线",
          "product": "nodalos",
          "description": "Fabric + A2A / ACP / MCP 协议，框架无关互操作"
        },
        {
          "name": "上下文交付",
          "product": "harnessserver",
          "description": "主配置与 Skill 先备好，SOP 按动作再取；主配置可装配公共段并保持字节稳定"
        },
        {
          "name": "流程接入",
          "product": "pathpilot",
          "description": "现有 Agent 任务流接入 PathPilot 任务执行控制面"
        }
      ],
      "product_mapping": [
        {
          "problem": "Claude Code / Codex / Grok 与基于主流 SDK 的 Agent 并存",
          "product": "nodalos",
          "capability": "多形态 RuntimeClass + A2A / ACP / MCP 协议"
        },
        {
          "problem": "不想重写已有 Agent 代码",
          "product": "harnessserver",
          "capability": "通过上下文文件注入而非改 prompt；主配置保持字节稳定"
        },
        {
          "problem": "Skill 入库如何过安全门",
          "product": "larkscout",
          "capability": "压缩包结构与 SKILL.md 格式必检；进程隔离 YARA 需部署扫描器"
        },
        {
          "problem": "Skill 部署前如何再核验",
          "product": "harnessserver",
          "capability": "可开启 SkillScan 做 Python AST 与污点扫描；默认关闭，不是运行时沙箱"
        },
        {
          "problem": "现有任务流如何接入",
          "product": "pathpilot",
          "capability": "任务流接入任务执行控制面，按需替换或并行"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/integration"
    },
    {
      "id": "intent.multi_agent_collaboration",
      "slug": "multi-agent-collaboration",
      "title": "多 Agent 协作",
      "summary": "不同框架的 Agent 如何被统一纳管、用什么协议互通，又如何按 Coordinator + Worker 分工协作，并把需要人拍板的事交回给人。",
      "decomposition": [
        {
          "name": "异构纳管",
          "product": "nodalos",
          "description": "Native / Vendor / Sidecar / Basic / Coordinator 五类 RuntimeClass，由 agentd 守护进程统一纳管生命周期"
        },
        {
          "name": "通信协议",
          "product": "nodalos",
          "description": "5 类 Fabric 标准消息机制，原生支持 A2A / ACP / MCP 协议互通；多产品 MCP 按命名空间聚合"
        },
        {
          "name": "Coordinator + Worker",
          "product": "nodalos",
          "description": "Coordinator 负责编排，专业 Worker 负责执行；平台自带 Coordinator 与 Basic Agent"
        },
        {
          "name": "分侧上下文",
          "product": "harnessserver",
          "description": "Worker 开工时拉取任务上下文索引，Coordinator 按动作信号取用 SOP，两侧按可见性拿到不同内容"
        },
        {
          "name": "任务控制面",
          "product": "pathpilot",
          "description": "分派、追踪、阻塞处理与人类升级；可按技能与忙闲打分推荐执行 Agent"
        },
        {
          "name": "人机协作",
          "product": "aulo",
          "description": "与 Coordinator 一对一对话；升级任务、HITL 审批与待决议题汇入同一条待办"
        }
      ],
      "product_mapping": [
        {
          "problem": "Claude Code、Codex 与自研 Agent 并存，互不相通",
          "product": "nodalos",
          "capability": "五类 RuntimeClass 统一纳管，经 A2A / ACP / MCP 协议互通"
        },
        {
          "problem": "Agent 之间的消息与调用无章可循",
          "product": "nodalos",
          "capability": "5 类 Fabric 标准消息机制，跨框架互通"
        },
        {
          "problem": "编排与执行混在一个 Agent 里",
          "product": "nodalos",
          "capability": "Coordinator 拓扑编排，agentd 守护进程纳管各 Agent 生命周期"
        },
        {
          "problem": "多 Agent 串起来一旦失败，说不清在哪一步",
          "product": "pathpilot",
          "capability": "可干预 Pipeline：多阶段流转、决策门禁、重置 / 跳过；执行时间线归集 Agent 自报进度"
        },
        {
          "problem": "多个 Agent 同时改同一资源",
          "product": "pathpilot",
          "capability": "资源锁：跨任务锁定同一资源，避免并发冲突"
        },
        {
          "problem": "卡住的任务升级不到人",
          "product": "aulo",
          "capability": "升级任务汇入统一待办，在待办内批示并回写上游"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/multi-agent-collaboration"
    },
    {
      "id": "intent.private_deployment",
      "slug": "private-deployment",
      "title": "私有部署与安全边界",
      "summary": "数据不出门，是默认而不是选配。从单机 PoC 到生产集群，ReadyForAI 原生为私有环境设计。",
      "decomposition": [
        {
          "name": "私有化部署",
          "product": "nodalos",
          "description": "所有产品和组件都支持私有化部署，数据不出企业内网"
        },
        {
          "name": "凭证隔离",
          "product": "nodalos",
          "description": "凭证独立存储，不进入 Agent prompt"
        },
        {
          "name": "策略阻断",
          "product": "owlaudit",
          "description": "NodalOS 已挂接 hook 上，HITL 档命中则同步拒绝该动作"
        },
        {
          "name": "审计证据",
          "product": "owlaudit",
          "description": "已写入的审计记录进 Hash Chain，本地可验证、可查 gap"
        },
        {
          "name": "成本归因",
          "product": "heronsentry",
          "description": "HeronSentry 多维成本聚合，部署成本可衡量"
        }
      ],
      "product_mapping": [
        {
          "problem": "数据不能出企业内网",
          "product": "nodalos",
          "capability": "完全私有化部署 + 私有 LLM 后端"
        },
        {
          "problem": "高风险动作必须人在回路",
          "product": "owlaudit",
          "capability": "HITL / HOTL / HOOL 三档介入（由策略 action_type 选定）；NodalOS 已挂接 hook 上可同步拒绝"
        },
        {
          "problem": "合规审计要求完整证据链",
          "product": "owlaudit",
          "capability": "Hash Chain 审计（可验证、可查 gap）"
        },
        {
          "problem": "部署运维成本不可见",
          "product": "heronsentry",
          "capability": "HeronSentry 多维成本聚合"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/private-deployment"
    },
    {
      "id": "intent.product_overview",
      "slug": "product-overview",
      "title": "完整产品闭环",
      "summary": "六个治理产品加 OS 层与工具层，如何组成 Agent 治理闭环",
      "decomposition": [
        {
          "name": "运行时底座",
          "product": "nodalos",
          "description": "可免费使用的 OS 层，提供统一身份、通信、编排、策略、上下文"
        },
        {
          "name": "任务执行控制面",
          "product": "pathpilot",
          "description": "分派、追踪、升级，叠加预算与里程碑"
        },
        {
          "name": "运行观测",
          "product": "heronsentry",
          "description": "Trace、监控、成本、告警"
        },
        {
          "name": "审批审计",
          "product": "owlaudit",
          "description": "HITL / HOTL / HOOL + 审计留痕"
        },
        {
          "name": "战略决策层",
          "product": "prismcouncil",
          "description": "多视角议事 + Decision Package + 人类终裁"
        },
        {
          "name": "企业级知识平台",
          "product": "larkscout",
          "description": "claim 抽取、知识视图、矛盾扫描、经验回流"
        },
        {
          "name": "上下文供给",
          "product": "harnessserver",
          "description": "Workspace 准备 + 按角色分发 + 按需取 SOP"
        },
        {
          "name": "人机协作平台",
          "product": "aulo",
          "description": "待办、控制台、议事、审批、对话、绩效"
        }
      ],
      "product_mapping": [
        {
          "problem": "人类缺统一入口",
          "product": "aulo",
          "capability": "待办、控制台、议事、审批、对话、绩效"
        },
        {
          "problem": "流程混乱失控",
          "product": "pathpilot",
          "capability": "分派追踪升级、预算里程碑、可干预 Pipeline"
        },
        {
          "problem": "状态与成本不可见",
          "product": "heronsentry",
          "capability": "端到端 Trace、成本采集、告警"
        },
        {
          "problem": "高风险动作无审批",
          "product": "owlaudit",
          "capability": "HITL / HOTL / HOOL 三档介入、Hash Chain 审计、在已挂接 Hook 上可同步拒绝"
        },
        {
          "problem": "重大问题难决策",
          "product": "prismcouncil",
          "capability": "8 顾问议事、Decision Package、人类终裁"
        },
        {
          "problem": "经验无法沉淀",
          "product": "larkscout",
          "capability": "claim 抽取、知识视图、矛盾扫描、经验回流"
        },
        {
          "problem": "知识到不了 Agent 手里",
          "product": "harnessserver",
          "capability": "Workspace 准备、按角色分发、按需取 SOP"
        },
        {
          "problem": "多框架混用无底座",
          "product": "nodalos",
          "capability": "异构多 Agent 托管与治理底座（可免费使用）"
        }
      ],
      "canonical_url": "https://readyforai.com/products"
    },
    {
      "id": "intent.security_permissions",
      "slug": "security-permissions",
      "title": "安全与权限",
      "summary": "Skill 进入企业要过几道审查，每个 Agent 能看到什么、能做什么，高风险动作由谁拦截，审计为什么放在 Agent 运行时之外。",
      "decomposition": [],
      "product_mapping": [
        {
          "problem": "来路不明的 Skill 进入企业",
          "product": "larkscout",
          "capability": "三层入库安全门：结构防护、格式校验、进程隔离 YARA 扫描（需部署扫描器）"
        },
        {
          "problem": "Skill 部署前还想再核一遍",
          "product": "harnessserver",
          "capability": "人工确认授权后才部署；可开启 SkillScan 做 Python AST 与污点扫描（默认关闭）"
        },
        {
          "problem": "所有 Agent 看到的内容都一样",
          "product": "harnessserver",
          "capability": "按角色与配置分发 Skill、SOP、Rule"
        },
        {
          "problem": "运行时策略散落在各个 Agent 里",
          "product": "nodalos",
          "capability": "CEL 策略引擎统一做运行时评估"
        },
        {
          "problem": "Agent 直接调生产 API 没人把关",
          "product": "owlaudit",
          "capability": "策略命中即执行对应动作：HITL / HOTL / HOOL 三档介入，可同步拒绝与冻结"
        },
        {
          "problem": "事后调查没有完整的审计轨迹",
          "product": "owlaudit",
          "capability": "Hash Chain 审计账本可重算验证、检测断链；策略版本随审计记录同事务递增"
        }
      ],
      "canonical_url": "https://readyforai.com/intent/security-permissions"
    }
  ],
  "comparisons": [
    {
      "id": "comparison.ai_grc",
      "name": "AI 合规治理平台（Credo AI / Holistic AI / ModelOp）",
      "summary": "GRC 视角的 AI 治理，强项在模型合规、风险评估、监管对齐，但不涉及 Agent 运行时和多 Agent 协作。 与 ReadyForAI 是互补关系：ReadyForAI 治理 Agent 行为，GRC 治理 AI 模型。",
      "dimensions": 12,
      "canonical_url": "https://readyforai.com/agent/comparisons/ai-grc-vs-readyforai.md"
    },
    {
      "id": "comparison.cloud_platforms",
      "name": "云平台 Agent 管理（Google Cloud Vertex AI Agent Builder / Amazon Bedrock Agents）",
      "summary": "云端 Agent 全栈方案，绑定云厂商生态与自家 LLM，不支持私有部署和异构纳管。 适合全部业务都在单一云上的团队，与 ReadyForAI 的关系是部署形态的根本差异。",
      "dimensions": 12,
      "canonical_url": "https://readyforai.com/agent/comparisons/cloud-platforms-vs-readyforai.md"
    },
    {
      "id": "comparison.cloudflare_os",
      "name": "Cloudflare OS（组织级 Agent 工作台）",
      "summary": "Cloudflare OS 是企业内部 Agent 工作平台：公司上下文 Workspace 加 Gatekeeper 安全模型， 全员上手快。计算落在 V8 isolate，不便托管 CLI Agent，也没有审批/预算/决策套件。 全员快速使用、强调平台安全时它合适；要编制级数字员工与治理闭环时走 ReadyForAI。",
      "dimensions": 11,
      "canonical_url": "https://readyforai.com/agent/comparisons/cloudflare-os-vs-readyforai.md"
    },
    {
      "id": "comparison.deepseek_harness",
      "name": "DeepSeek Harness（开发者向 Agent 运行时）",
      "summary": "DeepSeek Harness 是开发者向运行时：Everything is a plugin，组合灵活、适合深度定制。 ReadyForAI 面向企业编制：异构纳管、岗位可复制、治理可监督。要极度可组合的运行时做定制时选 Harness； 要规模化建设可治理的数字员工时选 ReadyForAI。",
      "dimensions": 10,
      "canonical_url": "https://readyforai.com/agent/comparisons/deepseek-harness-vs-readyforai.md"
    },
    {
      "id": "comparison.framework_tools",
      "name": "Agent 框架附带管理（LangSmith / Langfuse）",
      "summary": "Agent 观测与调试维度的核心强项，但不覆盖审批、流程治理、决策、知识采集和能力分发。 适合只关注 Agent 观测的团队，与 ReadyForAI 是互补 / 替代关系而非竞争。",
      "dimensions": 11,
      "canonical_url": "https://readyforai.com/agent/comparisons/framework-tools-vs-readyforai.md"
    },
    {
      "id": "comparison.grok_bot",
      "name": "Grok Bot（xAI / Cursor 生态的 SaaS Agent 同事）",
      "summary": "Grok Bot 是面向个人和团队的 SaaS Agent 产品：对话委派、上手快，但数据在境外云端、 多 Bot 共享一台 VM、几乎没有企业治理。适合英语市场的小团队；需要私有部署、 异构纳管或审批审计时，和 ReadyForAI 不是同一条路径。",
      "dimensions": 10,
      "canonical_url": "https://readyforai.com/agent/comparisons/grok-bot-vs-readyforai.md"
    },
    {
      "id": "comparison.no_governance",
      "name": "无治理状态（未受控运行 / Agent 裸跑）",
      "summary": "最简单但风险最高的路径，适合早期试错与极小规模团队。一旦 Agent 数量增加或涉及合规要求， 治理缺位的代价会快速显现。本对比帮助判断是否已到了需要治理的阶段。",
      "dimensions": 13,
      "canonical_url": "https://readyforai.com/agent/comparisons/no-governance-vs-readyforai.md"
    },
    {
      "id": "comparison.qm",
      "name": "YC QM Agent Harness（团队协作型 Agent Harness）",
      "summary": "YC QM Agent Harness 是团队协作 Harness：个人/共享 Scope 隔离加持久沙箱，小团队启动快、协作边界干净。 ReadyForAI 面向企业编制级数字员工：异构纳管、岗位可复制、审批审计预算闭环。 小团队多人协作、要尽快跑起来时选 YC QM；要规模化可监督的数字员工体系时选 ReadyForAI。",
      "dimensions": 10,
      "canonical_url": "https://readyforai.com/agent/comparisons/qm-vs-readyforai.md"
    },
    {
      "id": "comparison.self_built",
      "name": "自研拼装（Shell + Prometheus + Grafana + 手写审批）",
      "summary": "能跑但不成体系，Agent 数量超过 5 个后维护成本急升、合规盲点开始堆积。 适合早期探索，不适合规模化治理。",
      "dimensions": 12,
      "canonical_url": "https://readyforai.com/agent/comparisons/self-built-vs-readyforai.md"
    }
  ],
  "endpoints": {
    "agent_overview": "https://readyforai.com/agent/overview.md",
    "agent_product_matrix": "https://readyforai.com/agent/product-matrix.md",
    "agent_governance_loop": "https://readyforai.com/agent/governance-loop.md",
    "intent_resolve_api": "https://readyforai.com/api/v1/intent/resolve",
    "llms_txt": "https://readyforai.com/llms.txt",
    "llms_full_txt": "https://readyforai.com/llms-full.txt",
    "sitemap": "https://readyforai.com/sitemap.xml",
    "feed": "https://readyforai.com/feed.xml"
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}