AutomationFlowsAI & RAG › Build Products with Cpo-led AI Team Using Openai O3 and Gpt-4.1-mini Agents

Build Products with Cpo-led AI Team Using Openai O3 and Gpt-4.1-mini Agents

ByYaron Been @yaron-nofluff on n8n.io

Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution.

Chat trigger trigger★★★★☆ complexityAI-powered18 nodesChat TriggerAgentTool ThinkAgent ToolOpenAI Chat
AI & RAG Trigger: Chat trigger Nodes: 18 Complexity: ★★★★☆ AI nodes: yes Added:

This workflow corresponds to n8n.io template #6903 — we link there as the canonical source.

This workflow follows the Agent → Agenttool recipe pattern — see all workflows that pair these two integrations.

The workflow JSON

Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →

Download .json
{
  "meta": {
    "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
      ],
      "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": {
          "name": "<your credential>"
        }
      },
      "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": {
          "name": "<your credential>"
        }
      },
      "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": {
          "name": "<your credential>"
        }
      },
      "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": {
          "name": "<your credential>"
        }
      },
      "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": {
          "name": "<your credential>"
        }
      },
      "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": {
          "name": "<your credential>"
        }
      },
      "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": {
          "name": "<your credential>"
        }
      },
      "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": "## \ud83d\ude80 **CPO AGENT WITH PRODUCT TEAM - AI WORKFLOW**\n\n**\ud83d\udd25 Powered by OpenAI O3 & GPT-4.1-mini Multi-Agent System**\n\n#ProductManagement #ProductOps #n8nWorkflows #OpenAI #ProductStrategy\n\n---\n\n### \ud83d\udcdd **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\u2014delivering end-to-end product development support with AI efficiency.\n\n---\n\n### \u2699\ufe0f **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### \ud83d\udc65 **Meet Your AI Product Team**\n\n| Agent | Purpose | Model | Output |\n|-------|---------|-------|--------|\n| \ud83d\ude80 **CPO Agent** | Product vision & strategy coordination | O3 | Strategic oversight |\n| \ud83d\udccb **Product Manager** | Roadmaps, specs, user stories | GPT-4.1-mini | Product requirements |\n| \ud83c\udfa8 **UX/UI Designer** | User flows, wireframes, interfaces | GPT-4.1-mini | Design specifications |\n| \ud83d\udd0d **User Research** | Research plans, personas, insights | GPT-4.1-mini | User understanding |\n| \ud83d\udcca **Analytics Specialist** | Metrics, KPIs, A/B tests | GPT-4.1-mini | Data-driven insights |\n| \ud83d\udcdd **Technical Writer** | Documentation, guides, specs | GPT-4.1-mini | Clear documentation |\n| \ud83c\udfaf **Strategy Analyst** | Market analysis, positioning | GPT-4.1-mini | Strategic insights |\n\n---\n\n### \ud83d\udca1 **Use Cases**\n\n- **Feature Development**: Concept \u2192 Research \u2192 Design \u2192 Specs \u2192 Metrics\n- **Product Launch**: Strategy \u2192 Documentation \u2192 Analytics \u2192 Go-to-market\n- **User Experience**: Research \u2192 Personas \u2192 Flows \u2192 Testing \u2192 Optimization\n- **Competitive Analysis**: Market research \u2192 Positioning \u2192 Differentiation\n- **Product Roadmaps**: Vision \u2192 Priorities \u2192 Timeline \u2192 Resource planning\n- **Documentation Suite**: User guides \u2192 API docs \u2192 Technical specs\n\n---\n\n### \ud83d\udcb8 **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### \ud83c\udff7\ufe0f **Tags**\n\n#ProductManagement #UXDesign #UserResearch #ProductStrategy #ProductOps\n#ProductAnalytics #TechnicalWriting #ProductDevelopment #FeatureDesign #ProductAI\n#n8n #OpenAI #MultiAgentSystem #ProductTech #ProductLeadership #Innovation"
      },
      "typeVersion": 1
    }
  ],
  "connections": {
    "Think": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "UX/UI Designer": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Product Manager": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Technical Writer": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model1": {
      "ai_languageModel": [
        [
          {
            "node": "Product Manager",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model2": {
      "ai_languageModel": [
        [
          {
            "node": "UX/UI Designer",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model3": {
      "ai_languageModel": [
        [
          {
            "node": "User Research Specialist",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model4": {
      "ai_languageModel": [
        [
          {
            "node": "Product Analytics Specialist",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model5": {
      "ai_languageModel": [
        [
          {
            "node": "Technical Writer",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model6": {
      "ai_languageModel": [
        [
          {
            "node": "Product Strategy Analyst",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "OpenAI Chat Model CPO": {
      "ai_languageModel": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Product Strategy Analyst": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "User Research Specialist": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "When chat message received": {
      "main": [
        [
          {
            "node": "CPO Agent",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Product Analytics Specialist": {
      "ai_tool": [
        [
          {
            "node": "CPO Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    }
  }
}

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About this workflow

Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution.

Source: https://n8n.io/workflows/6903/ — original creator credit. Request a take-down →

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