How to Create an Email Sender AI Agent Using n8n (Step-by-Step Guide)

-

 Automation tools are rapidly changing how businesses manage communication. Instead of manually drafting emails, you can build an AI Email Sender Agent that writes and sends emails automatically based on chat instructions.

Using n8n, you can create a powerful AI workflow that understands your message, generates a professional email using AI, and sends it through Gmail.

In this guide, you’ll learn how to create an Email Sender AI Agent using n8n step-by-step.

What is an Email Sender AI Agent?

An Email Sender AI Agent is an automated system that:

• Receives instructions through chat
• Uses AI to generate an email message
• Sends the email automatically using Gmail

For example, you can type a command like:

Send an email to client@example.com thanking them for attending the meeting.

The AI agent will automatically:

  1. Write the email

  2. Format it professionally

  3. Send it via Gmail

This can save significant time for sales teams, support teams, and business owners.

Tools Required

Before building the workflow, you will need the following tools:

n8n – Automation platform used to create workflows
OpenAI Chat Model – Generates the email content using AI
Gmail Tool – Sends the email
Simple Memory – Helps maintain context in chat
Temp Mail – Disposable email service for testing email sending

You can use Temp Mail – Disposable Temporary Email to create temporary email addresses while testing the automation.

Step-by-Step Guide to Create Email Sender AI Agent in n8n

Step 1: Create a New Workflow

First, open n8n and create a new workflow.

Click:

Create Workflow

Now add the first trigger node.

Choose:

On Chat Message

This node will trigger the workflow whenever a user sends a chat message.

After adding the node, close the configuration window.

Step 2: Add the AI Agent Node

Next, you need to add the AI agent that will handle the email logic.

  1. Click Add New Node

  2. Search for AI Agent

  3. Click AI Agent

  4. Close the configuration window

The AI Agent node will process the user request and decide how to send the email.

Step 3: Add Chat Model

Now connect the AI model that will generate the email text.

  1. Click Add Chat Model

  2. Search for OpenAI Chat Model

  3. Select it

If you haven't already connected OpenAI, click:

Claim Credits

Then connect your OpenAI account.

Close the window after configuration.

Step 4: Add Memory

Next, add memory so the AI agent can maintain chat context.

  1. Click Add Memory

  2. Select Simple Memory

  3. Close the window

Memory helps the AI remember conversation context during interactions.

Step 5: Add Gmail Tool

Now add the Gmail integration so the AI can send emails.

  1. Click Add Tool

  2. Search for Gmail Tool

  3. Select Gmail Tool

Next, configure Gmail access.

Create Gmail Credential

Click:

Create New Credential

Then:

• Sign in with your Google account
• Grant required permissions

Once connected, configure the fields.

Gmail Tool Configuration

Set the following options:

To: Let Model Define
Subject: Let Model Define
Email Type: Text
Message: Let Model Define
Append n8n Attribution: Off

Then close the configuration window.

Step 6: Configure AI Agent System Message

Now we define how the AI agent should behave.

Double click the AI Agent node.

Go to:

Options → System Message

Add the following instruction:

You are very polite email sending agent. 
You have to send email based on requirements shared over the chat.

Make sure at the end of the email you write:

Best Regards
Email Sender Name

This ensures every email generated by the AI follows a polite and professional format.

Close the window after saving.

Step 7: Make the Chat Public (Optional)

If you want others to use this AI agent through a public chat interface, you can enable public access.

Double click on:

When Chat Message Received

Then enable:

Make Chat Publicly Available

This allows you to share the chat interface with others.

Testing the Email AI Agent

Once your workflow is ready, test it with prompts like:

Example 1

Send an email to test@example.com inviting them for a meeting tomorrow.

Example 2

Send a thank you email to client@example.com for the project discussion.

The AI agent will automatically:

• Generate the email
• Add subject and message
• Send the email using Gmail

Benefits of Using an AI Email Sender Agent

Saves Time

No need to manually draft repetitive emails.

Professional Email Writing

AI ensures emails are polite and well-structured.

Automation

Emails can be sent automatically from chat prompts.

Scalability

Businesses can automate communication workflows easily.

Final Thoughts

Creating an Email Sender AI Agent using n8n is a simple yet powerful way to automate email communication.

With just a few nodes — Chat Trigger, AI Agent, OpenAI Chat Model, Memory, and Gmail Tool — you can build a system that generates and sends emails automatically.

This type of AI automation is extremely useful for:

• Sales follow-ups
• Customer support
• Client communication
• Internal team updates

If you're learning AI automation with n8n, building agents like this is a great starting point.


Doc - https://docs.google.com/document/d/18u5BKT8NrV5uxsuoltdxiW63GMI7rkhBud2mKtZs8A4/edit?usp=sharing



Comments

Post a Comment

Popular posts from this blog

React Native | Section List with example

-
Image
 App.js: import React from 'react' ; import { SectionList , Text , View } from 'react-native' ; const App =() => {     users =[         {             id : 1 ,             name : "Krishan" ,             data : [ "Angular" , "HTML" , "CSS" , "JavaScript" ]         },         {             id : 1 ,             name : "Krishan" ,             data : [ "HTML" , "Angular" ,   "CSS" , "JavaScript" ]         },         {             id : 1 ,             name : "Krishan" ,             data : [ "CSS" , "Angular" , "HTML" ,   "JavaScript" ]         }     ]     r...
Read more

How to make Grid in React Native

-
Image
 App.js: import React from 'react' ; import { StyleSheet , Text , View } from 'react-native' ; const App = () => {     const users = [         {             id : 1 ,             name : "Kavita"         },         {             id : 2 ,             name : "Kavita"         },         {             id : 3 ,             name : "Kavita"         },         {             id : 4 ,             name : "Kavita"         },         {             id : 5 ,             name : "Kavita"   ...
Read more

Style in React Native | Style Type

-
Image
  App.js: -  import React , { useState } from 'react' ; import { Text , Button , View , StyleSheet } from 'react-native' ; import Exstyles from './exStyles' ; const App = () => {     return (         < View >             < Text style = { { fontSize : 30 , backgroundColor : 'green' } } > Style in             react native </ Text >             < Text style = { styles . textBox } > Style in             react native </ Text >             < Text style = { styles . textBox } > Style in             react native </ Text >                         < Text style = { Exstyles . textBox } > Style in             react native ...
Read more