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Automatically reply to customer emails with Airtable, Gmail, and GPT-4.1 Mini

Baptiste FortBaptiste Fort
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2/3/2026
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Automatically Reply to Customer Emails with Airtable, Gmail, and OpenAI

repondreautomatiquementemailsn8nairtablegmailopenai.png

Introduction

This guide walks you step by step through setting up an automated agent that:

  • Receives emails sent by your customers.
  • Analyzes the content of the email.
  • Generates an appropriate response using an AI model (OpenAI GPT).
  • Stores all information (received email, AI response, date, customer email) in Airtable.
  • Automatically replies to the customer in the same Gmail thread.

Prerequisites

Before you start, you’ll need:

  • A Gmail account connected to n8n.
  • An Airtable account.
  • An n8n instance (cloud or self-hosted).
  • An OpenAI API key.

Prepare the Airtable Base

Baseairtable.png

No need to build everything from scratch — here’s a ready-to-use base you can copy:
👉 Open the Airtable base

It already contains the following structure:

  • Subject (text) → email subject.
  • Date (date/time) → date of reception.
  • Customer Email (text) → customer’s email address.
  • Message (long text) → body of the received email.
  • AI Response (long text) → AI-generated reply.

You can reuse it as it is or duplicate it into your Airtable account.

1. Set Up Gmail Trigger in n8n

automatisationsupportclientn8nairtablegmail.png

Alright, now that we have our Airtable base ready, we need to capture customer emails.
That’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.

Connect Your Gmail Account

  • In n8n, add a Gmail Trigger node.
  • Click Credential to connect with and select your Gmail account.
  • If you haven’t done it yet, click Add new, connect your Google account, and allow access.
    Pro tip: don’t worry, it won’t read your personal emails to gossip — everything stays inside your workflow.

Basic Settings

  • Poll Times: select Every Minute.
    → This way, n8n checks your inbox every minute.
  • Mode: Message Received.
    → You want the flow to trigger whenever a customer writes to you.
  • Event: Message Received.
    → Same logic, keep it simple.
  • Simplify: turn it off (OFF).
    → 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.

Expected Output

When you execute the node, you should see:

  • id: unique identifier of the email.
  • threadId: conversation identifier (super useful to reply in the same thread).
  • snippet: a short preview of the email (first lines).
  • From: your customer’s email address.
  • To: your email address.
  • Subject: the subject of the email.
  • payload: the full body of the email (yep, in base64 — but we’ll handle that later).

And 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).

2. Set Up the AI Agent in n8n

sauvegarderemailsreponsesairtablen8n.png

After configuring your Gmail Trigger (which captures incoming customer emails), you now need a brain to take over, analyze the email, and draft a reply.
That’s where the AI Agent node comes in.

Its Role

The AI Agent node is used to:

  • Read the email content (via the Gmail Trigger).
  • Understand the context and tone of the customer.
  • Generate a clear, concise, and human-like response.
  • Prepare a personalized reply that will later be sent back via Gmail and stored in Airtable.

In short, it’s your 24/7 support colleague, but coded as a bot.


How to Configure It

  • Source for Prompt (User Message) → choose Define below.
  • Prompt (User Message) → describe your business and role as if you were training an intern.
    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.”
  • Chat Model → connect your AI model (e.g. OpenAI GPT-4.1 Mini).
  • Memory (optional but recommended) → connect a Conversation Memory node.
    → This allows the AI to retain conversation history and better understand follow-ups.

Expected Output

When you run this node, you should see in the output:

  • A field output containing the automatically generated AI reply.
  • The text should be short, natural, and adapted to the customer’s tone (casual or formal).

👉 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.

3. Save Emails and Responses in Airtable

Now that your AI Agent generates replies, you need to store them somewhere to keep a clear record of all interactions.
That’s where Airtable comes in.

Quick Reminder

You’ve already copied my ready-to-use Airtable base:
👉 Access the base

This base contains a table Email Support Logs with the following columns:

  • Subject
  • Date
  • Customer Email
  • Message
  • AI Response

How to Connect Airtable in n8n

  1. Add an Airtable node right after your AI Agent.
  2. Under Operation, select Create.
  3. In Base → choose BASE AGENT IA EMAIL.
  4. In Table → select Email Support Logs.

Map the Correct Values

Then, link the fields as follows:

  • Subject{{ $('Email Received').item.json.Subject }}
  • Customer Email{{ $('Email Received').item.json.From }}
  • Message{{ $('Email Received').item.json.snippet }}
  • AI Response{{ $('AI Agent').item.json.output }}
  • Date{{ $now }}

Expected Output

For each new email received:

  • Gmail captures the email.
  • Your AI drafts the reply.
  • All details (email, sender, subject, reply) are automatically stored in your Airtable base.

👉 You now have a fully automated customer support log.

4. Automatically Reply to the Customer in Gmail

Now that you’re storing each interaction in Airtable, it’s time to send your AI’s reply directly back to the customer.
This closes the loop: customer writes → AI replies → everything gets logged in Airtable.

Add the Gmail Reply Node

  1. Add a Gmail node right after your AI Agent (or after Airtable if you prefer logging before replying).
  2. Under Operation, select Reply.
  3. Connect your Gmail account (same credential as your Gmail Trigger).

Configure the Reply

  • Thread ID{{ $('Email Received').item.json.threadId }}
    → Ensures the reply is sent in the same conversation thread.
  • To{{ $('Email Received').item.json.From }}
    → Customer’s email address.
  • SubjectRe: {{ $('Email Received').item.json.Subject }}
    → The "Re:" keeps the continuity of the conversation.
  • Message Body{{ $('AI Agent').item.json.output }}
    → This is the text automatically generated by your AI.

Expected Output

When a customer sends an email:

  • Gmail Trigger captures the message.
  • The AI Agent generates a tailored reply.
  • Airtable logs the full interaction.
  • Gmail automatically sends the response in the same conversation thread.

Your customer receives a quick, personalized, and natural reply without you typing a single word.

👉 You now have a complete support agent: listen, analyze, log, reply.

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Automatically Reply to Customer Emails with Airtable, Gmail, and AI

This n8n workflow automates the process of replying to customer emails by leveraging AI to generate responses, storing conversation history in Airtable, and sending replies via Gmail. It's designed to streamline customer support and ensure consistent, AI-assisted communication.

What it does

This workflow is currently incomplete based on the provided JSON. However, the included nodes suggest the following intended functionality:

  1. Triggers on new emails: The Gmail Trigger node is set up to listen for incoming emails, likely from a customer support inbox.
  2. Manages conversation history: The Simple Memory node (a LangChain Buffer Window Memory) indicates an intention to maintain a history of the conversation, which is crucial for AI agents to provide contextually relevant responses.
  3. Generates AI-powered responses: The AI Agent node, combined with the OpenAI Chat Model, suggests that the workflow will use a large language model (like GPT) to generate a draft or final email reply based on the incoming email and conversation history.
  4. Stores data in Airtable: The Airtable node is included, implying that the workflow will interact with an Airtable base. This could be used to:
    • Log incoming emails.
    • Store AI-generated responses.
    • Track the status of customer inquiries.
    • Maintain a record of conversation history.
  5. Sends replies via Gmail: The Gmail node is present, indicating that the AI-generated responses will be sent back to the customer as email replies.

Note: The provided JSON is missing the actual connections between the nodes, meaning the workflow is not fully functional as-is. The description above is based on the types of nodes included and their typical use cases in such an automation.

Prerequisites/Requirements

To use this workflow, you will need:

  • n8n Instance: A running n8n instance to import and execute the workflow.
  • Gmail Account: A Google account with access to Gmail to trigger on new emails and send replies. You'll need to configure a Google OAuth2 credential in n8n.
  • Airtable Account: An Airtable account and a configured base/table to store email and conversation data. You'll need an Airtable API Key credential in n8n.
  • OpenAI API Key: An OpenAI account with an API key to utilize the OpenAI Chat Model for AI response generation. You'll need an OpenAI API credential in n8n.

Setup/Usage

  1. Import the workflow: Download the JSON file and import it into your n8n instance.
  2. Configure Credentials:
    • Set up a Gmail (Google OAuth2) credential for the Gmail Trigger and Gmail nodes. Ensure it has the necessary permissions to read and send emails.
    • Set up an Airtable API Key credential for the Airtable node.
    • Set up an OpenAI API Key credential for the OpenAI Chat Model node.
  3. Connect the Nodes: As the provided JSON is missing connections, you will need to manually connect the nodes in n8n to form a complete workflow. A typical flow would be:
    • Gmail Trigger -> AI Agent (which uses OpenAI Chat Model and Simple Memory) -> Airtable (to log conversation) -> Gmail (to send reply).
  4. Configure Nodes:
    • Gmail Trigger: Specify the mailbox, label, or search query to listen for new customer emails.
    • AI Agent: Configure the prompt and tools for the AI agent to generate appropriate email responses.
    • OpenAI Chat Model: Select the desired OpenAI model (e.g., gpt-4-1106-preview, gpt-3.5-turbo).
    • Simple Memory: Configure the memory key and number of messages to remember for context.
    • Airtable: Specify the Base ID, Table Name, and map the incoming email data and AI-generated response to the correct fields in your Airtable base.
    • Gmail: Configure the "Send Email" operation, mapping the recipient, subject, and body from the previous AI Agent's output.
  5. Activate the Workflow: Once configured and connected, activate the workflow to start automatically processing customer emails.

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