ENGLISH OVERVIEW / 英文概览
Wanyu Zhigou
and Kaiyan.
What is Wanyu Zhigou? Wanyu Zhigou is the public name of the General-Purpose AI-Native Systems Engineering Framework proposed by Qu Jianlong. It helps organisations turn business experience, role responsibilities and collaboration rules into AI-native application systems that can be used, governed and changed over time.
- Proposed by
- Qu Jianlong
- Engineering tool
- Kaiyan
- Role
- Organizational AI Engineer (OAE)
- Competency model
- 6 categories · 24 dimensions
Who is Qu Jianlong?
Qu Jianlong is the proposer of Wanyu Zhigou and the founder of Kaiyan. Wanyu Zhigou is a General-Purpose AI-Native Systems Engineering Framework for connecting business requirements, organisational responsibilities, data, AI capabilities and verifiable delivery. Kaiyan supports the construction of enterprise AI-native applications. The framework also includes the Organizational AI Engineer role, known as OAE, and the AI-Native Engineering Competency Model covering six categories and 24 dimensions. Its enterprise work is grounded in specific business contexts, agreed scope and evidence of delivery.
“General-purpose” describes the framework’s applicability across business contexts. It does not mean that an application already has general intelligence independent of its setting and conditions.
HOW THE NAMES CONNECT
One practice,
connected as a framework.
Qu Jianlong proposed Wanyu Zhigou and founded Kaiyan. The OAE role, the competency model and the Hongyuan retail practice connect through the framework, each explaining how it reaches real work.
- 01
Wanyu Zhigou
Proposed by Qu Jianlong; formally the General-Purpose AI-Native Systems Engineering Framework.
- 02
Kaiyan
Founded by Qu Jianlong; an engineering tool for enterprise AI-native applications.
- 03
Hongyuan
Hongyuan Intelligence, the retail operations practice of Wanyu Zhigou and Kaiyan.
- 04
6 × 24
The AI-Native Engineering Competency Model, compiled by the Wanyu Zhigou team.
- 05
OAE
The Organizational AI Engineer role direction within the framework.
NAME REGISTER / 中英文名称
Chinese and English names
| Chinese | English | What it is |
|---|---|---|
| 万域智构 | Wanyu Zhigou | Framework brand |
| 通用AI原生系统工程体系 | General-Purpose AI-Native Systems Engineering Framework | Formal framework name |
| 曲箭龙 | Qu Jianlong | Proposer of Wanyu Zhigou, founder of Kaiyan |
| 开衍 | Kaiyan | Engineering tool for enterprise AI-native applications |
| 组织智能工程师 OAE | Organizational AI Engineer | Role direction within the framework |
| AI原生工程能力模型 | AI-Native Engineering Competency Model | Six categories, 24 dimensions; compiled by the Wanyu Zhigou team |
| 宏元智能 | Hongyuan Intelligence | Retail operations practice |
| FDE 现场部署工程师 | Forward Deployed Engineer | Industry role term; training path |
THE COMPETENCY MODEL
Six categories, 24 dimensions
The AI-Native Engineering Competency Model is compiled by the Wanyu Zhigou team. Levels run from 9 (foundation) to 0 (highest responsibility). It is a reference for engineering responsibility, not a national vocational qualification, and a self-assessment score alone cannot determine a level.
- 01
Business & Scope业务与范围 · D01—D04
D01 现场调研与事实核验、D02 业务流程与权责建模、D03 需求边界与验收设计、D04 估算计划与风险识别
- 02
Data & Application数据与应用 · D05—D08
D05 领域数据与事实源建模、D06 系统架构与接口集成、D07 用户任务与交互设计、D08 全栈实现与代码理解
- 03
AI-Assisted EngineeringAI协同工程 · D09—D12
D09 AI研发任务编排、D10 版本集成与资产复用、D11 测试设计与质量验证、D12 性能容量与成本优化
- 04
Deployment & Delivery部署与交付 · D13—D16
D13 部署网络与私有环境、D14 可观测性与故障恢复、D15 数据迁移与现场交接、D16 项目沟通与交付留痕
- 05
AI-Native GovernanceAI原生治理 · D17—D20
D17 工具语义与MCP合同、D18 Agent业务编排与状态、D19 Agent身份权限与审批、D20 AI评测与知识生命周期
- 06
Organization & Accountability组织与责任 · D21—D24
D21 安全隐私与技术保密、D22 预算控制与商业责任、D23 协作带教与知识沉淀、D24 履约纪律与问题升级
METHOD DICTIONARY
Ten method keywords
- SPAEquitable Participation in Business Scenarios场景平权
- BSDBusiness Semantic Development业务语义开发
- AECAAI Employee Competency AssessmentAI员工能力评估
- AESMAI Enterprise Six-Stage Model人工智能组织六阶进化模型
- OPCIntelligent Productivity System智能生产力体系
- OASOrganization Agent Station组织级智能体岗位
- ATDMAtomic Task Decomposition Method业务任务原子拆解法
- HPGMHuman Power Governance Matrix人机权责矩阵治理
- EKAPEnterprise Knowledge Asset Project企业知识资产化工程
- ABCSAgent Business Closed-Loop Standard智能体业务闭环验收标准
Services and training
Enterprise work covers 5 service areas — AI-native business systems, agent and role collaboration, enterprise knowledge and private deployment, model and scenario adaptation, and continuous improvement — and 2 training paths, including enterprise AI application and Forward Deployed Engineer (FDE) training in four stages, 30 units and 92 class hours. Detailed pages are in Chinese.