{ "workflow": { "id": 6656, "name": "Automate lead qualification & customer support with GPT-4o-mini agents", "views": 784, "recentViews": 0, "totalViews": 784, "createdAt": "2025-07-29T16:52:38.610Z", "description": "### Beginner AI Agent Duo: Lead‑Qualifier Task Automator & Ecommerce Chatbot\n\n**Status:** Ready for Use ✅ \n**Note:** This template is built entirely with **official n8n nodes**—no community‑node installation required.\n\n---\n\n### 📝 Description\nThis template demonstrates two beginner‑friendly AI‑agent patterns that cover the most common use cases:\n\n| Agent | Purpose | Flow Highlights |\n|-------|---------|-----------------|\n| **Lead‑Qualifier Task Automator** | Classifies phone‑call transcripts to decide if the caller is a good bulk‑order lead. | Manual Trigger → Code (sample data) → AI Agent (GPT‑4o‑mini) → Structured Output Parser → Set (clean fields) |\n| **Ecommerce Chatbot** | Answers customer questions about products, bulk pricing, shipping, and returns. | Chat Trigger (webhook) → AI Agent (GPT‑4o‑mini) with Memory → If node → Order‑placed reply or no‑op |\n\nBoth agents run on **GPT‑4o‑mini** and use n8n’s LangChain‑powered nodes for quick, low‑code configuration.\n\n---\n\n### ⚙️ How to Install & Run\n\n1. **Import the Workflow** \n - In n8n, go to **Workflows → Import from File** or **Paste JSON**, then save.\n\n2. **Add Your OpenAI API Key** \n - Go to **Credentials → New → OpenAI API**. \n - Paste your key from <https://platform.openai.com>. \n - Select this credential in both **OpenAI Chat Model** nodes.\n\n3. **(Optional) Select a Different Model** \n - Default model is **gpt‑4o‑mini**. \n - Change to GPT‑4o, GPT‑3.5‑turbo, or any available model in each OpenAI node.\n\n4. **Test the Lead‑Qualifier Agent** \n - Click **Activate**. \n - Press **Test workflow**. \n - The Code node feeds four sample transcripts; the AI Agent returns JSON like: \n ```json\n {\n \"Name\": \"Jordan Lee\",\n \"Is Good Lead\": \"Yes\",\n \"Reasoning\": \"Customer requests 300 custom mugs, indicating a bulk order.\"\n }\n ```\n\n5. **Test the Ecommerce Chatbot** \n - Copy the **Webhook URL** from the **When chat message received** trigger. \n - POST a payload like: \n ```json\n { \"message\": \"Hi, do you offer discounts if I buy 120 notebooks?\" }\n ``` \n - The AI Agent replies with bulk‑pricing info. \n - If the customer confirms an order, it appends `*****`; the If node then sends “Your order has been placed”.\n\n---\n\n### 🧩 Customization Ideas\n- **Refine Qualification Logic** Edit the Task Agent’s system prompt to match your own lead criteria. \n- **Save Leads Automatically** Add Google Sheets, Airtable, or a database node after the Set node. \n- **Expand the Chatbot** Connect inventory APIs, payment gateways, or CRM integrations. \n- **Adjust Memory Length** Change the *Simple Memory* node’s window to retain more conversation context.\n\n---\n\n## 🤝 Connect with Me\n\n## Description \nI’m Robert Breen, founder of Ynteractive — a consulting firm that helps businesses automate operations using **n8n**, **AI agents**, and custom workflows. I’ve helped clients build everything from intelligent chatbots to complex sales automations, and I’m always excited to collaborate or support new projects.\n\nIf you found this workflow helpful or want to talk through an idea, I’d love to hear from you.\n\n## Links \n🌐 Website: [https://www.ynteractive.com](https://www.ynteractive.com) \n📺 YouTube: [@ynteractivetraining](https://www.youtube.com/@ynteractivetraining) \n💼 LinkedIn: [https://www.linkedin.com/in/robert-breen](https://www.linkedin.com/in/robert-breen) \n📬 Email: rbreen@ynteractive.com", "workflow": { "meta": { "instanceId": "efb474b59b0341d7791932605bd9ff04a6c7ed9941fdd53dc4a2e4b99a6f9439" }, "nodes": [ { "id": "9b686668-2c0e-4c1d-908f-c2954e67b0da", "name": "When chat message received", "type": "@n8n/n8n-nodes-langchain.chatTrigger", "position": [ 20, 580 ], "webhookId": "e104e40e-6134-4825-a6f0-8a646d882662", "parameters": { "public": true, "options": {} }, "typeVersion": 1.1 }, { "id": "851344f4-1862-4bc6-9ea6-1f17831a706f", "name": "When clicking ‘Test workflow’", "type": "n8n-nodes-base.manualTrigger", "position": [ 0, 0 ], "parameters": {}, "typeVersion": 1 }, { "id": "a6e3505c-3e7d-43d1-bfb4-b3c2b0a44e46", "name": "OpenAI Chat Model1", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 400, 300 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "243b3744-ada2-4eaa-bcaf-3ae91e3a4441", "name": "Structured Output Parser", "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "position": [ 600, 300 ], "parameters": { "jsonSchemaExample": "{\n \"Name\": \"Alex Chen\",\n \"Is Good Lead\": \"No\",\n \"Reasoning\": \"The customer is interested in buying a single item for personal use.\"\n}\n" }, "typeVersion": 1.2 }, { "id": "5177741d-236d-47a6-9ac8-9cb46ba1a3f1", "name": "Edit Fields1", "type": "n8n-nodes-base.set", "position": [ 780, 40 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "948759d1-4c0c-4751-a83d-9daa1ec3bb1c", "name": "Name", "type": "string", "value": "={{$json[\"output\"][\"Name\"]}}" }, { "id": "91dbdf7b-8f0d-4ae2-ab36-701b01b581e2", "name": "Good Lead", "type": "string", "value": "={{$json[\"output\"][\"Is Good Lead\"]}}" }, { "id": "5d38cd05-eb1a-4734-83d2-cdd5ee973ea7", "name": "Reasoning", "type": "string", "value": "={{ $json.output.Reasoning }}" } ] } }, "typeVersion": 3.4 }, { "id": "7261e97b-e056-44f5-a98e-b62641ed137e", "name": "OpenAI Chat Model2", "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi", "position": [ 240, 800 ], "parameters": { "model": { "__rl": true, "mode": "list", "value": "gpt-4o-mini" }, "options": {} }, "credentials": { "openAiApi": { "id": "credential-id", "name": "openAiApi Credential" } }, "typeVersion": 1.2 }, { "id": "a9207b97-4599-44d4-9cfe-a38d6a5976c0", "name": "Simple Memory", "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow", "position": [ 420, 820 ], "parameters": { "contextWindowLength": 10 }, "typeVersion": 1.3 }, { "id": "162bcc59-f8ac-4468-900a-a65f52320ec8", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -180, -60 ], "parameters": { "width": 1300, "height": 500, "content": "## Lead Qualifier Agent\n" }, "typeVersion": 1 }, { "id": "45e03054-92b4-4fbb-a9f0-a65bd024f972", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -180, 460 ], "parameters": { "color": 5, "width": 1300, "height": 540, "content": "## Ecommerce Chatbot\n" }, "typeVersion": 1 }, { "id": "19c265f1-ac38-472f-a975-4674a42f89ef", "name": "Create Sample Data", "type": "n8n-nodes-base.code", "position": [ 200, 40 ], "parameters": { "jsCode": "return [\n {\n json: {\n name: \"Jordan Lee\",\n transcript: \"Hi, I'm looking to place a large order of custom mugs for an upcoming corporate event. Probably around 300 units.\"\n }\n },\n {\n json: {\n name: \"Alex Chen\",\n transcript: \"Do you sell just one of these backpacks? I’m shopping for my daughter.\"\n }\n },\n {\n json: {\n name: \"Samira Patel\",\n transcript: \"We’re exploring gifts for our team and might want to add a logo. What's your bulk pricing on notebooks?\"\n }\n },\n {\n json: {\n name: \"Marcus Grant\",\n transcript: \"Just checking shipping times for a single product before I order. Thanks.\"\n }\n }\n];\n" }, "typeVersion": 2 }, { "id": "dbf6ef88-e1c3-4cd7-95e9-9fa47b2d81b4", "name": "Lead Qualifier Agent", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 400, 40 ], "parameters": { "text": "=Name: {{$json[\"name\"]}}\nTranscript: {{$json[\"transcript\"]}}\n", "options": { "systemMessage": "You are a lead qualification assistant for an ecommerce store. Your job is to determine if a customer from a phone call is a good lead for a **bulk order**.\n\nIf they mention:\n- large quantities\n- logos\n- team gifts\n- events\n- wholesale\n- or any indication of buying in bulk\n\nThen classify them as a **good lead**. Otherwise, mark them as not a good lead.\n\nRespond only in valid JSON with:\n- \"Name\": customer’s name\n- \"Is Good Lead\": Yes or No\n- \"Reasoning\": short one-sentence reason" }, "promptType": "define", "hasOutputParser": true }, "typeVersion": 1.8 }, { "id": "ef1d7730-6945-4dc6-b8d1-0d8b48c29b10", "name": "Ecommerce Chatbot", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ 300, 580 ], "parameters": { "options": { "systemMessage": "👋 Hi there! I'm your personal assistant here to help you with anything related to our ecommerce store.\n\nI can assist you with:\n- Product information\n- Bulk orders\n- Pricing questions\n- Customization options (like adding a logo)\n- Shipping times and return policies\n\nHere’s how I work:\n- I know the details of our products, pricing, and bulk order discounts.\n- I respond politely, professionally, and clearly.\n- If you're placing a bulk order, I’ll ask for the quantity you need, when you need it, and whether you have your artwork or logo ready.\n\n## Product Pricing (Standard Retail):\n- **Custom Notebook**: $12.00 each \n- **Eco Water Bottle**: $15.00 each \n- **Enamel Mug**: $10.00 each \n- **Canvas Tote Bag**: $14.00 each\n\n## Bulk Discount Tiers:\n- 50+ units: 10% off \n- 100+ units: 15% off \n- 250+ units: 20% off \n- 500+ units: 25% off \n*Discounts apply per product type and are automatically calculated.*\n\n## Shipping & Returns:\n- Standard shipping: 3–5 business days \n- Bulk orders may take 7–14 business days depending on customization\n- Returns accepted within 30 days for non-customized items\n\n## Rules:\n- Be honest and helpful\n- Never make up data or offer discounts outside the tiers above\n- If unsure about something, say a team member will follow up\n- If the customer mentions a bulk order, ask how many units they need and if they have artwork ready\n\n\n- if the customer has confirmed they want to place an order output ***** along with the response. \n\nJust ask your question, and I’ll take it from there!\n" } }, "typeVersion": 1.8 }, { "id": "052a2f31-f0fa-41ff-be09-121b7ac2f9f1", "name": "Test if conversation is complete", "type": "n8n-nodes-base.if", "position": [ 640, 600 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "a3eb2967-e920-4342-ad2b-a2ae3b972955", "operator": { "type": "string", "operation": "contains" }, "leftValue": "={{ $json.output }}", "rightValue": "*****" } ] } }, "typeVersion": 2.2 }, { "id": "973fc612-a2ff-4105-8b58-ab1c22f171ba", "name": "Respond to User", "type": "n8n-nodes-base.noOp", "position": [ 860, 720 ], "parameters": {}, "typeVersion": 1 }, { "id": "e7401017-be65-4e75-8cd3-1af132116108", "name": "End the Conversation", "type": "n8n-nodes-base.code", "position": [ 880, 500 ], "parameters": { "jsCode": "let text = \"Your order has been placed\"\n\nreturn {text}\n \n " }, "typeVersion": 2 }, { "id": "d2055f0c-81ce-4b83-9541-12634e4fc75c", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -900, -60 ], "parameters": { "color": 4, "width": 680, "height": 1060, "content": "### Need help? \nEmail **rbreen@ynteractive.com**\n\n---\n\n### How to Install & Run\n\n1. **Import the workflow** \n - n8n → **Workflows → Import from File** (or **Paste JSON**) → **Save**\n\n2. **Add your OpenAI API key** \n - n8n → **Credentials → New → OpenAI API** \n - Paste the key from \n - Select this credential in both **OpenAI Chat Model** nodes\n\n3. **(Optional) Choose another model** \n - Default model: **gpt‑4o‑mini** \n - Open each **OpenAI Chat Model** node → choose **GPT‑4o**, **GPT‑3.5‑turbo**, etc.\n\n4. **Test the Lead‑Qualifier Task Automator** \n - Click **Activate** \n - Press **Test workflow** \n - Sample transcripts run; each item returns JSON with **Name**, **Is Good Lead**, **Reasoning**\n\n5. **Test the Ecommerce Chatbot** \n - Copy the **Webhook URL** from **When chat message received** \n - POST example payload: \n ```json\n { \"message\": \"Hi, do you offer discounts if I buy 120 notebooks?\" }\n ``` \n - Chatbot replies with pricing details \n - If the response contains `*****`, the **If** node sends: **“Your order has been placed”**\n\n---\n\n### Customization Ideas\n\n- Edit prompts to change lead‑qualification rules or chatbot dialogue \n- Add Google Sheets, Airtable, or database nodes to store qualified leads \n- Integrate inventory, shipping, or payment APIs \n- Adjust the **Simple Memory** node’s window size to remember more conversation context\n" }, "typeVersion": 1 } ], "pinData": {}, "connections": { "Simple Memory": { "ai_memory": [ [ { "node": "Ecommerce Chatbot", "type": "ai_memory", "index": 0 } ] ] }, "Ecommerce Chatbot": { "main": [ [ { "node": "Test if conversation is complete", "type": "main", "index": 0 } ] ] }, "Create Sample Data": { "main": [ [ { "node": "Lead Qualifier Agent", "type": "main", "index": 0 } ] ] }, "OpenAI Chat Model1": { "ai_languageModel": [ [ { "node": "Lead Qualifier Agent", "type": "ai_languageModel", "index": 0 } ] ] }, "OpenAI Chat Model2": { "ai_languageModel": [ [ { "node": "Ecommerce Chatbot", "type": "ai_languageModel", "index": 0 } ] ] }, "Lead Qualifier Agent": { "main": [ [ { "node": "Edit Fields1", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Lead Qualifier Agent", "type": "ai_outputParser", "index": 0 } ] ] }, "When chat message received": { "main": [ [ { "node": "Ecommerce Chatbot", "type": "main", "index": 0 } ] ] }, "Test if conversation is complete": { "main": [ [ { "node": "End the Conversation", "type": "main", "index": 0 } ], [ { "node": "Respond to User", "type": "main", "index": 0 } ] ] }, "When clicking ‘Test workflow’": { "main": [ [ { "node": "Create Sample Data", "type": "main", "index": 0 } ] ] } } }, "lastUpdatedBy": 29, "workflowInfo": { "nodeCount": 16, "nodeTypes": { "n8n-nodes-base.if": { "count": 1 }, "n8n-nodes-base.set": { "count": 1 }, "n8n-nodes-base.code": { "count": 2 }, "n8n-nodes-base.noOp": { "count": 1 }, "n8n-nodes-base.stickyNote": { "count": 3 }, "n8n-nodes-base.manualTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.agent": { "count": 2 }, "@n8n/n8n-nodes-langchain.chatTrigger": { "count": 1 }, "@n8n/n8n-nodes-langchain.lmChatOpenAi": { "count": 2 }, "@n8n/n8n-nodes-langchain.memoryBufferWindow": { "count": 1 }, "@n8n/n8n-nodes-langchain.outputParserStructured": { "count": 1 } } }, "status": "published", "user": { "name": "Robert Breen", "username": "rbreen", "bio": "Professional services consultant with over 10 years of experience solving complex business problems across industries. I specialize in n8n and process automation—designing custom workflows that integrate tools like Google Calendar, Airtable, GPT, and internal systems. Whether you need to automate scheduling, sync data, or streamline operations, I build solutions that save time and drive results.", "verified": true, "links": [ "https://ynteractive.com/" ], "avatar": "https://gravatar.com/avatar/15bb5ad97bad47ca2079e1fa123a8287000c72c86498c90043f70ec2adab05f3?r=pg&d=retro&size=200" }, "nodes": [ { "id": 20, "icon": "fa:map-signs", "name": "n8n-nodes-base.if", "codex": { "data": { "alias": [ "Router", "Filter", "Condition", "Logic", "Boolean", "Branch" ], "details": "The IF node can be used to implement binary conditional logic in your workflow. You can set up one-to-many conditions to evaluate each item of data being inputted into the node. That data will either evaluate to TRUE or FALSE and route out of the node accordingly.\n\nThis node has multiple types of conditions: Bool, String, Number, and Date & Time.", "resources": { "generic": [ { "url": "https://n8n.io/blog/learn-to-automate-your-factorys-incident-reporting-a-step-by-step-guide/", "icon": "🏭", "label": "Learn to Automate Your Factory's Incident Reporting: A Step by Step Guide" }, { "url": "https://n8n.io/blog/2021-the-year-to-automate-the-new-you-with-n8n/", "icon": "☀️", "label": "2021: The Year to Automate the New You with n8n" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/", "icon": "🤬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", 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