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製品チームとの協業のためのCPOエージェント

上級

これはProject Management, AI Chatbot分野の自動化ワークフローで、18個のノードを含みます。主にAgent, AgentTool, ToolThink, ChatTrigger, LmChatOpenAiなどのノードを使用。 OpenAI O3とGPT-4.1-miniエージェントによるCPO主導AIチームによる製品構築

前提条件
  • •OpenAI API Key

使用ノード (18)

StickyNote
Agent
AgentTool
ToolThink
ChatTrigger
LmChatOpenAi

カテゴリー

プロジェクト管理
AIチャットボット
ワークフロープレビュー
ノード接続関係を可視化、ズームとパンをサポート
React Flow
ワークフローをエクスポート
以下のJSON設定をn8nにインポートして、このワークフローを使用できます
{
  "meta": {
    "instanceId": "12e6f290a974a1eee154f8d915aade185e90e826260e6aeab8a087ba7386a1bc",
    "templateCredsSetupCompleted": true
  },
  "name": "CPO Agent with Product Team",
  "nodes": [
    {
      "id": "product-chat-trigger",
      "name": "チャットメッセージ受信時",
      "type": "@n8n/n8n-nodes-langchain.chatTrigger",
      "position": [
        -2864,
        -576
      ],
      "webhookId": "product-webhook-id",
      "parameters": {
        "options": {}
      },
      "typeVersion": 1.1
    },
    {
      "id": "cpo-agent",
      "name": "CPOエージェント",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        -2640,
        -816
      ],
      "parameters": {
        "options": {}
      },
      "typeVersion": 2.1
    },
    {
      "id": "product-think",
      "name": "思考",
      "type": "@n8n/n8n-nodes-langchain.toolThink",
      "position": [
        -2512,
        -496
      ],
      "parameters": {},
      "typeVersion": 1.1
    },
    {
      "id": "pm-agent",
      "name": "プロダクトマネージャー",
      "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デザイナー",
      "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": "ユーザーリサーチスペシャリスト",
      "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": "プロダクトアナリティクススペシャリスト",
      "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": "テクニカルライター",
      "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": "プロダクトストラテジーアナリスト",
      "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": "付箋ヘッダー",
      "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": "付箋メイン",
      "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
          }
        ]
      ]
    }
  }
}
よくある質問

このワークフローの使い方は？

上記のJSON設定コードをコピーし、n8nインスタンスで新しいワークフローを作成して「JSONからインポート」を選択、設定を貼り付けて認証情報を必要に応じて変更してください。

このワークフローはどんな場面に適していますか？

上級 - プロジェクト管理, AIチャットボット

有料ですか？

このワークフローは完全無料です。ただし、ワークフローで使用するサードパーティサービス（OpenAI APIなど）は別途料金が発生する場合があります。

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ワークフロー情報
難易度
上級
ノード数18
カテゴリー2
ノードタイプ6
難易度説明

上級者向け、16ノード以上の複雑なワークフロー

作成者
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

外部リンク
n8n.ioで表示 →

このワークフローを共有

カテゴリー

マルチモーダルAI
1540
人工知能
1108
コンテンツ作成
695
AI要約
516
マーケティング
419
AIチャットボット
251
エンジニアリング
241
市場調査
203
その他
193
その他
176
営業
162
IT運用
156
文書抽出
147
AI RAG検索拡張
146
ビルディングブロック
144
ソーシャルメディア
137
リード獲得
125
個人の生産性
117
DevOps
111
人事
101
サポート
97
リードナーチャリング
87
顧客管理
82
財務
81
プロダクト
77
サポートチャットボット
76
デザイン
70
チケット管理
67
セキュリティ運用
57
請求書処理
53
仮想通貨取引
49
ファイル管理
39
プロジェクト管理
35
内部Wiki
32

カテゴリー: 34