CPO-Agent zur Zusammenarbeit mit dem Produktteam
Dies ist ein Project Management, AI Chatbot-Bereich Automatisierungsworkflow mit 18 Nodes. Hauptsächlich werden Agent, AgentTool, ToolThink, ChatTrigger, LmChatOpenAi und andere Nodes verwendet. Ein Produkt mit einer von CPO geführten KI-Teams unter Verwendung von OpenAI O3 und GPT-4.1-Mini-Agenten erstellen
- •OpenAI API Key
Verwendete Nodes (18)
Kategorie
{
"meta": {
"instanceId": "12e6f290a974a1eee154f8d915aade185e90e826260e6aeab8a087ba7386a1bc",
"templateCredsSetupCompleted": true
},
"name": "CPO Agent with Product Team",
"nodes": [
{
"id": "product-chat-trigger",
"name": "Wenn Chatnachricht empfangen wird",
"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": "Denken",
"type": "@n8n/n8n-nodes-langchain.toolThink",
"position": [
-2512,
-496
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "pm-agent",
"name": "Produktmanager",
"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-Spezialist",
"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-Spezialist",
"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": "Technischer Redakteur",
"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": "Produktstrategie-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-Modell 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-Modell1",
"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-Modell2",
"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-Modell3",
"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-Modell4",
"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-Modell5",
"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-Modell6",
"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": "Haftnotiz-Kopfzeile",
"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": "Haftnotiz-Hauptteil",
"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
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "pm-agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "ux-agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model3": {
"ai_languageModel": [
[
{
"node": "research-agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model4": {
"ai_languageModel": [
[
{
"node": "analytics-agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model5": {
"ai_languageModel": [
[
{
"node": "tech-writer-agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model6": {
"ai_languageModel": [
[
{
"node": "strategy-agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Chat Model CPO": {
"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
}
]
]
}
}
}Wie verwende ich diesen Workflow?
Kopieren Sie den obigen JSON-Code, erstellen Sie einen neuen Workflow in Ihrer n8n-Instanz und wählen Sie "Aus JSON importieren". Fügen Sie die Konfiguration ein und passen Sie die Anmeldedaten nach Bedarf an.
Für welche Szenarien ist dieser Workflow geeignet?
Experte - Projektmanagement, KI-Chatbot
Ist es kostenpflichtig?
Dieser Workflow ist völlig kostenlos. Beachten Sie jedoch, dass Drittanbieterdienste (wie OpenAI API), die im Workflow verwendet werden, möglicherweise kostenpflichtig sind.
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Yaron Been
@yaron-nofluffBuilding 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
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