GPT-4o-mini를 사용하여 Intercom 메시지를 분류하고 ClickUp 또는 Slack으로 전송

• •Slack Bot Token 또는 Webhook URL
• •HTTP Webhook 엔드포인트(n8n이 자동으로 생성)
• •OpenAI API Key

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    {
      "id": "c9ffdea8-c384-4ec1-ba34-f228c1ec6694",
      "name": "📨 Intercom Webhook 트리거",
      "type": "n8n-nodes-base.webhook",
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      "webhookId": "your-webhook-id-here",
      "parameters": {
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        "httpMethod": "POST"
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      "typeVersion": 1
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    {
      "id": "74f38000-b249-404d-b430-7d864652d00f",
      "name": "🧠 Classifier – AI prompt",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
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      "parameters": {
        "text": "You are an AI assistant designed to analyze customer conversations from Intercom. Your task is to classify each conversation into structured fields for workflow automation.\n\nConversation: {{ $json[\"data\"][\"item\"] }}\n\nBased on the provided conversation JSON, respond ONLY with a valid JSON object in the following format:\n\n{\n  \"category\": \"<Support | Product | Sales | Other>\",\n  \"sentiment\": \"<Positive | Neutral | Negative>\",\n  \"urgency\": \"<High | Medium | Low>\",\n  \"reasoning\": \"<Brief explanation of how you classified it>\",\n  \"tags\": [\"tag1\", \"tag2\"]\n}\n\nGuidelines:\n- \"category\": Determine the main topic. Use:\n  - \"Support\" for help requests, bugs, technical issues, etc.\n  - \"Product\" for feature requests, feedback, or UX issues.\n  - \"Sales\" for pricing, demo, onboarding, or enterprise inquiries.\n  - \"Other\" if it doesn't fit above.\n- \"sentiment\": Analyze customer tone. Choose Positive, Neutral, or Negative.\n- \"urgency\": \n  - High = frustrated users, urgent bug, blocked access.\n  - Medium = requesting help soon, moderately concerned.\n  - Low = casual inquiry, general feedback.\n- \"reasoning\": Explain how you decided on the classification.\n- \"tags\": Suggest 2–4 keywords as tags based on context (e.g., \"billing\", \"login\", \"onboarding\").\n\nOnly output valid JSON. Do NOT include explanations or extra text outside the JSON.",
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        "promptType": "define"
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      "typeVersion": 2
    },
    {
      "id": "68ee4343-685a-4f13-b0a7-c57c271dafb0",
      "name": "GPT model (GPT-4o-mini)",
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          "mode": "list",
          "value": "gpt-4o-mini"
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        "options": {}
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      "credentials": {
        "openAiApi": {
          "id": "YOUR_OPENAI_CREDENTIAL_ID",
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      "name": "🧮 Process Classification",
      "type": "n8n-nodes-base.code",
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      "parameters": {
        "jsCode": "// Parse the OpenAI response and structure the data\nconst aiResponse = $input.first().json.choices[0].message.content;\n\ntry {\n  const classification = JSON.parse(aiResponse);\n  \n  // Extract original conversation data\n  const conversationData = $('📨 Intercom Webhook').first().json.data.item;\n  \n  return {\n    json: {\n      // Classification results\n      category: classification.category,\n      sentiment: classification.sentiment,\n      urgency: classification.urgency,\n      reasoning: classification.reasoning,\n      tags: classification.tags || [],\n      \n      // Original conversation data\n      conversation_id: conversationData.id,\n      subject: conversationData.conversation_parts.conversation_parts[0].subject || 'No Subject',\n      message: conversationData.conversation_parts.conversation_parts[0].body,\n      customer_name: conversationData.user.name,\n      customer_email: conversationData.user.email,\n      created_at: conversationData.created_at,\n      \n      // Formatted data for tasks\n      task_title: `[${classification.category.toUpperCase()}] ${conversationData.conversation_parts.conversation_parts[0].subject || 'Support Request'}`,\n      task_description: `**Customer:** ${conversationData.user.name} (${conversationData.user.email})\\n\\n**Original Message:**\\n${conversationData.conversation_parts.conversation_parts[0].body}\\n\\n**AI Classification:**\\n- Category: ${classification.category}\\n- Sentiment: ${classification.sentiment}\\n- Urgency: ${classification.urgency}\\n- Reasoning: ${classification.reasoning}\\n\\n**Conversation ID:** ${conversationData.id}`\n    }\n  };\n} catch (error) {\n  throw new Error(`Failed to parse AI response: ${error.message}`);\n}"
      },
      "typeVersion": 2
    },
    {
      "id": "9ef8a0da-aae3-4c64-96cb-24ef077b389f",
      "name": "🛠️ Is Support Request?",
      "type": "n8n-nodes-base.if",
      "position": [
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        "conditions": {
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            "leftValue": "",
            "caseSensitive": true,
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              "id": "support_condition",
              "operator": {
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                "operation": "equals"
              },
              "leftValue": "={{ $json.category }}",
              "rightValue": "Support"
            }
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      },
      "typeVersion": 2
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    {
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      "name": "📦 Is Product Request?",
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      "typeVersion": 2
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    {
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      "name": "🧾 Create Support Task",
      "type": "n8n-nodes-base.clickUp",
      "position": [
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      "parameters": {
        "list": "YOUR_CLICKUP_LIST_ID",
        "name": "={{ $json.task_title }}",
        "team": "YOUR_CLICKUP_TEAM_ID",
        "space": "YOUR_CLICKUP_SPACE_NAME",
        "folder": "YOUR_CLICKUP_FOLDER_NAME",
        "authentication": "oAuth2",
        "additionalFields": {
          "tags": "={{ $json.tags.join(', ') }}",
          "status": "YOUR_STATUS_NAME",
          "priority": "={{ $json.urgency }}",
          "assignees": "YOUR_ASSIGNEE_ID"
        }
      },
      "credentials": {
        "clickUpOAuth2Api": {
          "id": "YOUR_CLICKUP_CREDENTIAL_ID",
          "name": "ClickUp OAuth2 API"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "257d17bf-5f65-43d9-a4c5-09cdf06c4e17",
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      "parameters": {
        "list": "YOUR_CLICKUP_LIST_ID",
        "name": "={{ $json.task_title }}",
        "team": "YOUR_CLICKUP_TEAM_ID",
        "space": "YOUR_CLICKUP_SPACE_NAME",
        "folder": "YOUR_CLICKUP_FOLDER_NAME",
        "authentication": "oAuth2",
        "additionalFields": {
          "tags": "={{ $json.tags.join(', ') }}",
          "status": "YOUR_STATUS_NAME",
          "priority": "={{ $json.urgency }}",
          "assignees": "YOUR_ASSIGNEE_ID"
        }
      },
      "credentials": {
        "clickUpOAuth2Api": {
          "id": "YOUR_CLICKUP_CREDENTIAL_ID",
          "name": "ClickUp OAuth2 API"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "6ba00f81-e6af-45b5-86ba-875fec8e30b1",
      "name": "📣 Slack – Notify Sales team",
      "type": "n8n-nodes-base.slack",
      "position": [
        -104,
        360
      ],
      "webhookId": "your-slack-webhook-id",
      "parameters": {
        "text": "🚨 New Sales Inquiry Alert!\n\n**Customer:** {{ $json.customer_name }} ({{ $json.customer_email }})\n**Subject:** {{ $json.subject }}\n**Sentiment:** {{ $json.sentiment }}\n**Urgency:** {{ $json.urgency }}\n\n**Message:**\n{{ $json.message }}\n\n**AI Reasoning:** {{ $json.reasoning }}\n\n**Conversation ID:** {{ $json.conversation_id }}",
        "select": "channel",
        "channelId": {
          "__rl": true,
          "mode": "id",
          "value": "YOUR_SLACK_CHANNEL_ID"
        },
        "otherOptions": {}
      },
      "credentials": {
        "slackApi": {
          "id": "YOUR_SLACK_CREDENTIAL_ID",
          "name": "Slack API"
        }
      },
      "typeVersion": 2.3
    },
    {
      "id": "96a7c0c2-5b4c-4f13-aa55-d93de00e9401",
      "name": "메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
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        "width": 320,
        "height": 720,
        "content": "## 📨 1. Webhook Intake\n\nPurpose:\n\n*Receives incoming conversation data from Intercom via a webhook (triggered on new messages).\n\nInput:\n\nFull conversation JSON\nCustomer name, email, and message content*"
      },
      "typeVersion": 1
    },
    {
      "id": "4153b386-0f82-4da0-9d76-c52824ced79e",
      "name": "메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 6,
        "width": 540,
        "height": 780,
        "content": "## 🤖 2. AI Classification Engine\n\nHow it works:\n\n*The conversation is sent to an AI model with a prompt to classify it.\n\nAI responds with a structured JSON containing:\ncategory: Support | Product | Sales | Other\nsentiment: Positive | Neutral | Negative\nurgency: High | Medium | Low\nreasoning: Explanation for classification\ntags: Relevant keywords\n\nA code node parses this AI output and merges it with user + conversation details to prepare for task creation or routing.*"
      },
      "typeVersion": 1
    },
    {
      "id": "65b8eff5-9782-403a-b01e-8f72f698ad1e",
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      "position": [
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      "parameters": {
        "color": 5,
        "height": 840,
        "content": "## 🔀 3. Conditional Routing\n\nLogic:\n\n*Each path checks the category returned by the AI.\n\nBased on category, it routes the conversation to the appropriate action.*"
      },
      "typeVersion": 1
    },
    {
      "id": "415d9545-aa7b-405b-9aa4-50a02e938602",
      "name": "메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
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      "parameters": {
        "color": 3,
        "width": 260,
        "height": 940,
        "content": "## 📌 4. Action Handling 🧾 \n\n**🧾Support:**\n\nCreates a ClickUp task with title, description, priority, and tags.\n\n**📦 Product:**\nSame as Support – task created in ClickUp with relevant details.\n\n**📣 Sales:**\nSends a Slack message to the Sales team with AI's reasoning."
      },
      "typeVersion": 1
    }
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  "pinData": {},
  "connections": {
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