8
n8n 中文网amn8n.com

与产品团队协作的CPO代理

高级

这是一个Project Management, AI Chatbot领域的自动化工作流，包含 18 个节点。主要使用 Agent, AgentTool, ToolThink, ChatTrigger, LmChatOpenAi 等节点。 使用OpenAI O3和GPT-4.1-mini代理通过CPO主导的AI团队构建产品

前置要求
  • •OpenAI API Key

使用的节点 (18)

StickyNote
Agent
AgentTool
ToolThink
ChatTrigger
LmChatOpenAi

分类

项目管理
AI 聊天机器人
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
  "meta": {
    "instanceId": "12e6f290a974a1eee154f8d915aade185e90e826260e6aeab8a087ba7386a1bc",
    "templateCredsSetupCompleted": true
  },
  "name": "CPO Agent with Product Team",
  "nodes": [
    {
      "id": "product-chat-trigger",
      "name": "When chat message received",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -2864,
        -576
      ],
      "webhookId": "product-webhook-id",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "cpo-agent",
      "name": "CPO Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -2640,
        -816
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2.1
    },
    {
      "id": "product-think",
      "name": "Think",
      "type": "@n8n/n8n-nodes-langchain.toolThink",
      "position": [
        -2512,
        -496
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "pm-agent",
      "name": "Product Manager",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -2240,
        -96
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in product roadmaps, feature specifications, user stories, and product planning"
      },
      "typeVersion": 2.2
    },
    {
      "id": "ux-agent",
      "name": "UX/UI Designer",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1280,
        -704
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in user experience design, wireframes, user flows, and interface specifications"
      },
      "typeVersion": 2.2
    },
    {
      "id": "research-agent",
      "name": "User Research Specialist",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1840,
        -304
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in user research, surveys, interviews, persona creation, and market analysis"
      },
      "typeVersion": 2.2
    },
    {
      "id": "analytics-agent",
      "name": "Product Analytics Specialist",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1328,
        -80
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in product metrics, KPI tracking, A/B testing, and data-driven insights"
      },
      "typeVersion": 2.2
    },
    {
      "id": "tech-writer-agent",
      "name": "Technical Writer",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1744,
        -1024
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in product documentation, API docs, user guides, and technical specifications"
      },
      "typeVersion": 2.2
    },
    {
      "id": "strategy-agent",
      "name": "Product Strategy Analyst",
      "type": "@n8n/n8n-nodes-langchain.agentTool",
      "position": [
        -1344,
        -1264
      ],
      "parameters": {
        "text": "={{ $fromAI('Prompt__User_Message_', ``, 'string') }}",
        "options": {},
        "toolDescription": "call this AI Agent that specializes in competitive analysis, market positioning, go-to-market strategy, and product-market fit"
      },
      "typeVersion": 2.2
    },
    {
      "id": "cpo-model",
      "name": "OpenAI Chat Model CPO",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -2672,
        -496
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "o3",
          "cachedResultName": "o3"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "pm-model",
      "name": "OpenAI Chat Model1",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -2208,
        368
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "ux-model",
      "name": "OpenAI Chat Model2",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1312,
        -496
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "research-model",
      "name": "OpenAI Chat Model3",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1824,
        -144
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "analytics-model",
      "name": "OpenAI Chat Model4",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1328,
        96
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "tech-writer-model",
      "name": "OpenAI Chat Model5",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1776,
        -768
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "strategy-model",
      "name": "OpenAI Chat Model6",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        -1312,
        -944
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
          "name": "OpenAI account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "product-header-sticky",
      "name": "Sticky Note Header",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3808,
        -880
      ],
      "parameters": {
        "color": 7,
        "width": 580,
        "height": 320,
        "content": "=======================================\n        CPO AGENT WITH PRODUCT TEAM\n=======================================\nFor any questions or support, please contact:\n    Yaron@nofluff.online\n\nExplore more tips and tutorials here:\n   - YouTube: https://www.youtube.com/@YaronBeen/videos\n   - LinkedIn: https://www.linkedin.com/in/yaronbeen/\n======================================="
      },
      "typeVersion": 1
    },
    {
      "id": "product-main-sticky",
      "name": "Sticky Note Main",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        -3808,
        -544
      ],
      "parameters": {
        "color": 7,
        "width": 740,
        "height": 2500,
        "content": "## 🚀 **CPO AGENT WITH PRODUCT TEAM - AI WORKFLOW**\n\n**🔥 Powered by OpenAI O3 & GPT-4.1-mini Multi-Agent System**\n\n#ProductManagement #ProductOps #n8nWorkflows #OpenAI #ProductStrategy\n\n---\n\n### 📝 **Overview**\n\nThis multi-agent n8n automation creates a comprehensive product development team. A strategic CPO agent receives your input, analyzes product opportunities, and coordinates specialized agents for product management, UX design, user research, analytics, documentation, and strategy—delivering end-to-end product development support with AI efficiency.\n\n---\n\n### ⚙️ **How It Works**\n\n1. **Chat trigger** receives product requests (e.g., \"Design a new mobile app feature for user onboarding\")\n2. **CPO Agent** (O3) analyzes requirements and creates product strategy\n3. Delegates to specialist agents:\n   - Product Manager\n   - UX/UI Designer\n   - User Research Specialist\n   - Product Analytics Specialist\n   - Technical Writer\n   - Product Strategy Analyst\n4. Each agent uses **GPT-4.1-mini** for specialized execution\n5. Results compiled into comprehensive product deliverables\n\n---\n\n### 👥 **Meet Your AI Product Team**\n\n| Agent | Purpose | Model | Output |\n|-------|---------|-------|--------|\n| 🚀 **CPO Agent** | Product vision & strategy coordination | O3 | Strategic oversight |\n| 📋 **Product Manager** | Roadmaps, specs, user stories | GPT-4.1-mini | Product requirements |\n| 🎨 **UX/UI Designer** | User flows, wireframes, interfaces | GPT-4.1-mini | Design specifications |\n| 🔍 **User Research** | Research plans, personas, insights | GPT-4.1-mini | User understanding |\n| 📊 **Analytics Specialist** | Metrics, KPIs, A/B tests | GPT-4.1-mini | Data-driven insights |\n| 📝 **Technical Writer** | Documentation, guides, specs | GPT-4.1-mini | Clear documentation |\n| 🎯 **Strategy Analyst** | Market analysis, positioning | GPT-4.1-mini | Strategic insights |\n\n---\n\n### 💡 **Use Cases**\n\n- **Feature Development**: Concept → Research → Design → Specs → Metrics\n- **Product Launch**: Strategy → Documentation → Analytics → Go-to-market\n- **User Experience**: Research → Personas → Flows → Testing → Optimization\n- **Competitive Analysis**: Market research → Positioning → Differentiation\n- **Product Roadmaps**: Vision → Priorities → Timeline → Resource planning\n- **Documentation Suite**: User guides → API docs → Technical specs\n\n---\n\n### 💸 **Cost Optimization**\n\n- **O3 for CPO**: Strategic product decisions only\n- **GPT-4.1-mini for execution**: 90% cost reduction\n- **Parallel processing**: All specialists work simultaneously\n- **Template reuse**: Leverage proven product frameworks\n\n---\n\n### 🏷️ **Tags**\n\n#ProductManagement #UXDesign #UserResearch #ProductStrategy #ProductOps\n#ProductAnalytics #TechnicalWriting #ProductDevelopment #FeatureDesign #ProductAI\n#n8n #OpenAI #MultiAgentSystem #ProductTech #ProductLeadership #Innovation"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "product-think": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "ux-agent": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "pm-agent": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "tech-writer-agent": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "pm-model": {
      "ai_languageModel": [
        [
          {
            "node": "pm-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "ux-model": {
      "ai_languageModel": [
        [
          {
            "node": "ux-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "research-model": {
      "ai_languageModel": [
        [
          {
            "node": "research-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "analytics-model": {
      "ai_languageModel": [
        [
          {
            "node": "analytics-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "tech-writer-model": {
      "ai_languageModel": [
        [
          {
            "node": "tech-writer-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "strategy-model": {
      "ai_languageModel": [
        [
          {
            "node": "strategy-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "cpo-model": {
      "ai_languageModel": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "strategy-agent": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "research-agent": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "product-chat-trigger": {
      "main": [
        [
          {
            "node": "cpo-agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "analytics-agent": {
      "ai_tool": [
        [
          {
            "node": "cpo-agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流？

复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景？

高级 - 项目管理, AI 聊天机器人

需要付费吗？

本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。

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工作流信息
难度等级
高级
节点数量18
分类2
节点类型6
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Yaron Been

Yaron Been

@yaron-nofluff

Building AI Agents and Automations | Growth Marketer | Entrepreneur | Book Author & Podcast Host If you need any help with Automations, feel free to reach out via linkedin: https://www.linkedin.com/in/yaronbeen/ And check out my Youtube channel: https://www.youtube.com/@YaronBeen/videos

外部链接
在 n8n.io 查看 →

分享此工作流

分类

多模态 AI
1540
人工智能
1108
内容创作
695
AI 摘要总结
516
营销
419
AI 聊天机器人
251
工程
241
市场调研
203
杂项
193
其他
176
销售
162
IT 运维
156
文档提取
147
AI RAG 检索增强
146
构建模块
144
社交媒体
137
潜在客户开发
125
个人效率
117
开发运维
111
人力资源
101
客户支持
97
客户培育
87
客户关系管理
82
财务
81
产品
77
客服机器人
76
设计
70
工单管理
67
安全运维
57
发票处理
53
加密货币交易
49
文件管理
39
项目管理
35
内部知识库
32

分类: 34