Agente CPO en colaboración con el equipo de producto
Este es unProject Management, AI Chatbotflujo de automatización del dominio deautomatización que contiene 18 nodos.Utiliza principalmente nodos como Agent, AgentTool, ToolThink, ChatTrigger, LmChatOpenAi. Construir un producto usando un equipo de IA liderado por el CPO y los agentes OpenAI O3 y GPT-4.1-mini
- •Clave de API de OpenAI
Nodos utilizados (18)
Categoría
{
"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": "Agente de CPO",
"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": "Diseñador UX/UI",
"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": "Especialista en Investigación de Usuarios",
"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": "Especialista en Analítica de Producto",
"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": "Analista de Estrategia de Producto",
"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
}
]
]
}
}
}¿Cómo usar este flujo de trabajo?
Copie el código de configuración JSON de arriba, cree un nuevo flujo de trabajo en su instancia de n8n y seleccione "Importar desde JSON", pegue la configuración y luego modifique la configuración de credenciales según sea necesario.
¿En qué escenarios es adecuado este flujo de trabajo?
Avanzado - Gestión de proyectos, Chatbot de IA
¿Es de pago?
Este flujo de trabajo es completamente gratuito, puede importarlo y usarlo directamente. Sin embargo, tenga en cuenta que los servicios de terceros utilizados en el flujo de trabajo (como la API de OpenAI) pueden requerir un pago por su cuenta.
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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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