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Email Automation with n8n, AI Agent, Gmail Drafts, and Google Calendar

Email Automation with n8n, AI Agent, Gmail Drafts, and Google Calendar

Automating emails can save hours every week. Here’s how you can build a simple but powerful system that starts from a chat message and ends with a ready-to-send email or calendar invite.

What You Need

  • n8n (no-code automation tool)
  • Gmail (with access to Drafts API)
  • Google Calendar
  • Any AI agent (like OpenAI or your own model)
  • A chat tool like Slack, Discord, or Telegram

Step 1: Use Chat as a Trigger

Start the automation when someone sends a specific message. You can do this with:

  • n8n’s Slack trigger
  • Telegram or Discord webhook

We have used a chat tool built into n8n for this example, but you can adapt it to your preferred platform.


Step 2: Send the Message to an AI Agent

Once triggered, send the chat content to your AI agent.

Tips:

  • Use OpenAI’s GPT model for better responses
  • Add guardrails for tone and content

Tone and content helps you draft better emails.


Step 3: Create a Gmail Draft

Next, connect the Gmail node in n8n:

  • Use “Create Draft”
  • Fill in the recipient, subject, and AI-generated content
  • Add a label like “AI-generated” so it’s easy to find later

This step lets you review before sending, which keeps things safe and human-checked.

You can find the workflow here


Step 4: Add to Google Calendar

If the message is about booking a meeting, use the Google Calendar tool.

The tool will automatically called by the ai agent to create a calendar event.


Step 5: Notify Yourself or Your Team

After everything is set up:

  • Send a confirmation in your chat
  • Or send a summary email via Gmail
  • Or log it in Airtable/Google Sheets

This step helps you stay in the loop and catch errors early.


Final Thoughts

This automation flow can:

  • Save hours on email
  • Keep your inbox clean
  • Make your AI agent actually useful
  • Stop you from missing meetings

Start small—just 1 chat trigger and 1 Gmail draft. Then scale from there.