Airtable, Gmail 및 OpenAI를 사용하여 고객 이메일에 자동 회신

• •Google 계정 및 Gmail API 인증 정보
• •Airtable API Key
• •OpenAI API Key

{
  "id": "GcjeYFWFTeThFDR3",
  "meta": {
    "instanceId": "18b0d04ad5030054be4ab49562e84ea4a079ab4cb036003697394140227c7e76",
    "templateId": "6287",
    "templateCredsSetupCompleted": true
  },
  "name": "Automatically Reply to Customer Emails with Airtable, Gmail, and OpenAI",
  "tags": [],
  "nodes": [
    {
      "id": "91c45a87-a5e7-4446-ad36-52b779a04ff5",
      "name": "AI 에이전트",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "position": [
        1680,
        704
      ],
      "parameters": {
        "text": "=Tu es un agent support IA pour une solution SaaS B2B utilisée par des milliers d’entreprises.\nTu reçois énormément d’emails de clients et prospects tous les jours : demandes de devis, questions techniques, soucis de facturation, bugs, demandes d’infos sur les fonctionnalités.\nTon rôle est d’y répondre rapidement avec un style naturel, amical, clair, technique et très concis.\n\nStyle de réponse\n\nLa réponse doit être très très courte (juste l’essentiel, pas de bla-bla inutile).\n\nAdapte-toi au ton du client :\n\nSi le client tutoie, tu le tutoies.\n\nSi le client vouvoie, tu le vouvoies.\n\nSois amical et humain (comme si tu écrivais à un collègue).\n\nSois technique quand il faut (donne étapes précises ou solutions directes).\n\nToujours répondre point par point au contenu exact du mail reçu.\n\nSi une info manque, pose 1 seule question claire pour avancer.\n\nStructure de la réponse\n\nAccroche personnalisée → dire bonjour avec le prénom si possible.\n\nAccusé de réception → montrer que tu as bien compris sa demande.\n\nRéponse concrète → donner directement la solution ou la prochaine étape.\n\nNext step → proposer une action simple (test, lien, précision à donner).\n\nClôture amicale → courte, sympa.\n\n\nID {{ $json.id }}\n\nTHREAD ID {{ $json.threadId }}\n\nSNIPPET {{ $json.snippet }}\n\nEMAIL {{ $json.From }}\n\nSUJET {{ $json.Subject }}\n\n\nvoici le lien du reset mdp : https://www.0vni.fr/",
        "options": {},
        "promptType": "define"
      },
      "typeVersion": 2.2
    },
    {
      "id": "f10f7b53-8918-4c90-b7e8-8b573c01e78f",
      "name": "수신 이메일",
      "type": "n8n-nodes-base.gmailTrigger",
      "position": [
        1296,
        704
      ],
      "parameters": {
        "filters": {},
        "pollTimes": {
          "item": [
            {
              "mode": "everyMinute"
            }
          ]
        }
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "RpkU3PW6jAmCX8ih",
          "name": "Gmail account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "222701be-af4e-441a-8c95-199c631c331a",
      "name": "GPT4.1 MINI로 고객에게 전송된 응답",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "position": [
        1648,
        880
      ],
      "parameters": {
        "model": {
          "__rl": true,
          "mode": "list",
          "value": "gpt-4.1-mini"
        },
        "options": {}
      },
      "credentials": {
        "openAiApi": {
          "id": "eDzFw4LYXVKJQcfH",
          "name": "OpenAi account"
        }
      },
      "typeVersion": 1.2
    },
    {
      "id": "4972ea0f-8d5e-48eb-bb42-f00017a9d2ad",
      "name": "Airtable에 저장",
      "type": "n8n-nodes-base.airtable",
      "position": [
        2160,
        704
      ],
      "parameters": {
        "base": {
          "__rl": true,
          "mode": "list",
          "value": "appSgOTP5wQ6AM0X2",
          "cachedResultUrl": "https://airtable.com/appSgOTP5wQ6AM0X2",
          "cachedResultName": "BASE AGENT IA EMAIL"
        },
        "table": {
          "__rl": true,
          "mode": "list",
          "value": "tbl4i0bKynEypdgtn",
          "cachedResultUrl": "https://airtable.com/appSgOTP5wQ6AM0X2/tbl4i0bKynEypdgtn",
          "cachedResultName": "Email Support Logs"
        },
        "columns": {
          "value": {
            "Message": "={{ $('Email Reçu').item.json.snippet }}",
            "Subject": "={{ $('Email Reçu').item.json.Subject }}",
            "AI Response": "={{ $('AI Agent').item.json.output }}",
            "Customer Email": "={{ $('Email Reçu').item.json.From }}"
          },
          "schema": [
            {
              "id": "Subject",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Subject",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Date",
              "type": "dateTime",
              "display": true,
              "removed": true,
              "readOnly": false,
              "required": false,
              "displayName": "Date",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Customer Email",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Customer Email",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "Message",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "Message",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            },
            {
              "id": "AI Response",
              "type": "string",
              "display": true,
              "removed": false,
              "readOnly": false,
              "required": false,
              "displayName": "AI Response",
              "defaultMatch": false,
              "canBeUsedToMatch": true
            }
          ],
          "mappingMode": "defineBelow",
          "matchingColumns": [],
          "attemptToConvertTypes": false,
          "convertFieldsToString": false
        },
        "options": {},
        "operation": "create"
      },
      "credentials": {
        "airtableTokenApi": {
          "id": "vKZ5Wl43rmNFe0My",
          "name": "Airtable Personal Access Token account 3"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "3ae5bac1-4774-4daa-b516-a50492c5b3bc",
      "name": "고객 응답",
      "type": "n8n-nodes-base.gmail",
      "position": [
        2592,
        704
      ],
      "webhookId": "f0ee3e32-5358-4869-99df-fb5779e21ae9",
      "parameters": {
        "message": "={{ $json.fields['AI Response'] }}",
        "options": {},
        "resource": "thread",
        "threadId": "={{ $('Email Reçu').item.json.id }}",
        "messageId": "={{ $('Email Reçu').item.json.id }}",
        "operation": "reply"
      },
      "credentials": {
        "gmailOAuth2": {
          "id": "RpkU3PW6jAmCX8ih",
          "name": "Gmail account"
        }
      },
      "typeVersion": 2.1
    },
    {
      "id": "d7d830d1-ea78-41f6-8261-aea5c7fb4dd4",
      "name": "대화 기록",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "position": [
        1840,
        880
      ],
      "parameters": {
        "sessionKey": "={{ $('Email Reçu').item.json.id }}",
        "sessionIdType": "customKey"
      },
      "typeVersion": 1.3
    },
    {
      "id": "a7c1d4db-0539-4db9-8f98-59e250645e17",
      "name": "스티커 메모",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        272,
        112
      ],
      "parameters": {
        "width": 928,
        "height": 912,
        "content": "# Automatically Reply to Customer Emails with n8n, Airtable, Gmail, and OpenAI\n\n## Introduction\n\nThis guide walks you step by step through setting up an automated agent that:\n- Receives emails sent by your customers.  \n- Analyzes the content of the email.  \n- Generates an appropriate response using an AI model (OpenAI GPT).  \n- Stores all information (received email, AI response, date, customer email) in Airtable.  \n- Automatically replies to the customer in the same Gmail thread.  \n\n---\n\n## Prerequisites\n\nBefore you start, you’ll need:  \n- A [Gmail](https://mail.google.com) account connected to n8n.  \n- An [Airtable](https://airtable.com) account.  \n- An [n8n](https://n8n.io) instance (cloud or self-hosted).  \n- An [OpenAI](https://platform.openai.com) API key.  \n\n---\n\n## Prepare the Airtable Base\n\nNo need to build everything from scratch — here’s a ready-to-use base you can copy:  \n👉 [Open the Airtable base](https://airtable.com/invite/l?inviteId=invnYug7i1yK7gqd4&inviteToken=9cd007631d148208bf689d2af7fd95039839ca775a18ad434918652ea370b86e&utm_medium=email&utm_source=product_team&utm_content=transactional-alerts)\n\nIt already contains the following structure:  \n- **Subject** (text) → email subject.  \n- **Date** (date/time) → date of reception.  \n- **Customer Email** (text) → customer’s email address.  \n- **Message** (long text) → body of the received email.  \n- **AI Response** (long text) → AI-generated reply.  \n\nYou can reuse it as it is or duplicate it into your Airtable account.  \n"
      },
      "typeVersion": 1
    },
    {
      "id": "77461e99-0aab-4126-8019-424058945361",
      "name": "스티커 메모1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1200,
        -560
      ],
      "parameters": {
        "color": 6,
        "width": 384,
        "height": 1584,
        "content": "## 1. Set Up Gmail Trigger in n8n\n\nAlright, now that we have our Airtable base ready, we need to capture customer emails.  \nThat’s the job of the **Gmail Trigger**. Basically, this node lies in wait inside your inbox, and as soon as a new message arrives… *bam*, your workflow fires up.\n\n### Step 1: Connect Your Gmail Account\n- In n8n, add a **Gmail Trigger** node.  \n- Click **Credential to connect with** and select your Gmail account.  \n- If you haven’t done it yet, click **Add new**, connect your Google account, and allow access.  \nPro tip: don’t worry, it won’t read your personal emails to gossip — everything stays inside your workflow.  \n\n### Step 2: Basic Settings\n- **Poll Times**: select `Every Minute`.  \n   → This way, n8n checks your inbox every minute.  \n- **Mode**: `Message Received`.  \n   → You want the flow to trigger whenever a customer writes to you.  \n- **Event**: `Message Received`.  \n   → Same logic, keep it simple.  \n- **Simplify**: turn it off (`OFF`).  \n   → Why? Because if you enable \"Simplify,\" you only get a stripped-down version of the email. And you want it all: subject, sender, raw message… the full package.  \n\n### Step 3: Expected Output\nWhen you execute the node, you should see:  \n- **id**: unique identifier of the email.  \n- **threadId**: conversation identifier (super useful to reply in the same thread).  \n- **snippet**: a short preview of the email (first lines).  \n- **From**: your customer’s email address.  \n- **To**: your email address.  \n- **Subject**: the subject of the email.  \n- **payload**: the full body of the email (yep, in base64 — but we’ll handle that later).  \n\nAnd that’s it — your Gmail Trigger is set up. In short, the moment a customer writes “Hey, I have an issue with my account,” your workflow kicks in instantly (well, almost — it checks every minute).  \n"
      },
      "typeVersion": 1
    },
    {
      "id": "f1d51f68-15fb-47b6-9ce2-0c64c1c41042",
      "name": "스티커 메모2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1584,
        -560
      ],
      "parameters": {
        "color": 7,
        "width": 384,
        "height": 1584,
        "content": "## 2. Set Up the AI Agent in n8n\n\nAfter configuring your **Gmail Trigger** (which captures incoming customer emails), you now need a **brain** to take over, analyze the email, and draft a reply.  \nThat’s where the **AI Agent node** comes in.\n\n### Its Role\nThe **AI Agent** node is used to:  \n- Read the email content (via the Gmail Trigger).  \n- Understand the context and tone of the customer.  \n- Generate a clear, concise, and human-like response.  \n- Prepare a personalized reply that will later be sent back via Gmail and stored in Airtable.  \n\nIn short, it’s your **24/7 support colleague**, but coded as a bot.  \n\n---\n\n### How to Configure It\n- **Source for Prompt (User Message)** → choose `Define below`.  \n- **Prompt (User Message)** → describe your business and role as if you were training an intern.  \n  Example: *“You are an AI support agent for a company that sells solar panels. You respond to technical requests, quotes, and customer questions. Your replies must be short, clear, friendly, and precise.”*  \n- **Chat Model** → connect your AI model (e.g. OpenAI GPT-4.1 Mini).  \n- **Memory (optional but recommended)** → connect a **Conversation Memory** node.  \n  → This allows the AI to retain conversation history and better understand follow-ups.  \n\n---\n\n### Expected Output\nWhen you run this node, you should see in the output:  \n- A field `output` containing the automatically generated AI reply.  \n- The text should be short, natural, and adapted to the customer’s tone (casual or formal).  \n\n👉 With the Gmail Trigger you capture emails, and with the AI Agent you get a reply ready to send — as if you had written it yourself.  \n"
      },
      "typeVersion": 1
    },
    {
      "id": "cce445a1-0b91-4533-9e6a-b7ecff97d9a0",
      "name": "스티커 메모3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1968,
        -560
      ],
      "parameters": {
        "color": 5,
        "width": 496,
        "height": 1584,
        "content": "## 3. Save Emails and Responses in Airtable\n\nNow that your **AI Agent** generates replies, you need to store them somewhere to keep a clear record of all interactions.  \nThat’s where **Airtable** comes in.\n\n### Quick Reminder\nYou’ve already copied my ready-to-use Airtable base:  \n👉 [Access the base](https://airtable.com/invite/l?inviteId=invnYug7i1yK7gqd4&inviteToken=9cd007631d148208bf689d2af7fd95039839ca775a18ad434918652ea370b86e&utm_medium=email&utm_source=product_team&utm_content=transactional-alerts)\n\nThis base contains a table **Email Support Logs** with the following columns:  \n- **Subject**  \n- **Date**  \n- **Customer Email**  \n- **Message**  \n- **AI Response**  \n\n---\n\n### How to Connect Airtable in n8n\n1. Add an **Airtable** node right after your **AI Agent**.  \n2. Under **Operation**, select `Create`.  \n3. In **Base** → choose **BASE AGENT IA EMAIL**.  \n4. In **Table** → select **Email Support Logs**.  \n\n---\n\n### Map the Correct Values\nThen, link the fields as follows:  \n- **Subject** → `{{ $('Email Received').item.json.Subject }}`  \n- **Customer Email** → `{{ $('Email Received').item.json.From }}`  \n- **Message** → `{{ $('Email Received').item.json.snippet }}`  \n- **AI Response** → `{{ $('AI Agent').item.json.output }}`  \n- **Date** → `{{ $now }}`  \n\n---\n\n### Expected Output\nFor each new email received:  \n- Gmail captures the email.  \n- Your AI drafts the reply.  \n- All details (email, sender, subject, reply) are automatically stored in your Airtable base.  \n\n👉 You now have a fully automated **customer support log**.  \n"
      },
      "typeVersion": 1
    },
    {
      "id": "41d75e25-18db-4d52-bf1f-3799268e75b4",
      "name": "스티커 메모4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2464,
        -560
      ],
      "parameters": {
        "color": 6,
        "width": 352,
        "height": 1584,
        "content": "## 4. Automatically Reply to the Customer in Gmail\n\nNow that you’re storing each interaction in Airtable, it’s time to **send your AI’s reply directly back to the customer**.  \nThis closes the loop: customer writes → AI replies → everything gets logged in Airtable.\n\n### Add the Gmail Reply Node\n1. Add a **Gmail** node right after your **AI Agent** (or after Airtable if you prefer logging before replying).  \n2. Under **Operation**, select `Reply`.  \n3. Connect your Gmail account (same credential as your Gmail Trigger).  \n\n### Configure the Reply\n- **Thread ID** → `{{ $('Email Received').item.json.threadId }}`  \n   → Ensures the reply is sent in the same conversation thread.  \n- **To** → `{{ $('Email Received').item.json.From }}`  \n   → Customer’s email address.  \n- **Subject** → `Re: {{ $('Email Received').item.json.Subject }}`  \n   → The \"Re:\" keeps the continuity of the conversation.  \n- **Message Body** → `{{ $('AI Agent').item.json.output }}`  \n   → This is the text automatically generated by your AI.  \n\n---\n\n### Expected Output\nWhen a customer sends an email:  \n- Gmail Trigger captures the message.  \n- The AI Agent generates a tailored reply.  \n- Airtable logs the full interaction.  \n- Gmail automatically sends the response in the same con\n"
      },
      "typeVersion": 1
    },
    {
      "id": "bec8bbf3-c691-43bb-bb7e-b3e8dfcd7a1e",
      "name": "스티커 메모5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        272,
        -352
      ],
      "parameters": {
        "width": 928,
        "height": 464,
        "content": "![Ma base Airtable](https://i.ibb.co/yF2XD9Jh/Base-airtable.png)\n"
      },
      "typeVersion": 1
    }
  ],
  "active": false,
  "pinData": {},
  "settings": {},
  "versionId": "62a88b6b-abfb-4cd9-b916-6ae73fd43efe",
  "connections": {
    "91c45a87-a5e7-4446-ad36-52b779a04ff5": {
      "main": [
        [
          {
            "node": "4972ea0f-8d5e-48eb-bb42-f00017a9d2ad",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "f10f7b53-8918-4c90-b7e8-8b573c01e78f": {
      "main": [
        [
          {
            "node": "91c45a87-a5e7-4446-ad36-52b779a04ff5",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "4972ea0f-8d5e-48eb-bb42-f00017a9d2ad": {
      "main": [
        [
          {
            "node": "3ae5bac1-4774-4daa-b516-a50492c5b3bc",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "d7d830d1-ea78-41f6-8261-aea5c7fb4dd4": {
      "ai_memory": [
        [
          {
            "node": "91c45a87-a5e7-4446-ad36-52b779a04ff5",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "222701be-af4e-441a-8c95-199c631c331a": {
      "ai_languageModel": [
        [
          {
            "node": "91c45a87-a5e7-4446-ad36-52b779a04ff5",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    }
  }
}