High Ticket

AI Email Automation Agent

Autonomous LangChain agent that reads, categorizes, and replies to your Gmail.

Architecture Overview

A production-grade Python backend using LangGraph and the official Gmail API. This agent runs in the background, fetches new unread emails, uses a Large Language Model to categorize them (Support, Lead, Spam), and automatically drafts or sends highly personalized replies based on your company's knowledge base.

Folder Structure

├── agent/
│   ├── graph.py
│   ├── nodes/
│   │   └── email_tools.py
│   └── chains/
├── api/
│   └── server.py
├── docker-compose.yml
└── requirements.txt

Code Preview

python

from langchain.agents import tool
from googleapiclient.discovery import build

@tool
def reply_to_email(thread_id: str, body: str) -> str:
    """Replies to a specific email thread."""
    service = build('gmail', 'v1', credentials=creds)
    message = create_message(body, thread_id)
    service.users().messages().send(userId='me', body=message).execute()
    return "Email sent successfully."

Technical FAQ

Yes, you can swap OpenAI for Ollama easily.

Lifetime Access

$89

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Included in the box

Google OAuth2 Flow
Vector Database RAG Integration
Human-in-the-loop Approval UI
Dockerized Celery Workers

Tech Stack

Python 3.11LangChainLangGraphGmail APIOpenAI