ManualTrigger Automate

For ManualTrigger Automate, streamline your email management by automatically categorizing and archiving messages based on relevance. Triggered via Telegram, this workflow integrates advanced AI to efficiently process inbox emails, ensuring unnecessary messages are archived while important ones are labeled for easy access. Enhance productivity and reduce clutter with this automated solution.

7/8/2025
17 nodes
Complex
manualcomplexlangchaintelegramtriggersticky notegmailtoolaggregatetelegramgmailfilteradvancedcommunicationbot
Categories:
Communication & MessagingComplex WorkflowManual Triggered
Integrations:
LangChainTelegramTriggerSticky NoteGmailToolAggregateTelegramGmailFilter

Target Audience

  • Individuals looking to manage their emails efficiently.
    - Small business owners who need to categorize and prioritize emails without manual effort.
    - Developers interested in automating workflows with Telegram and Gmail integrations.
    - AI enthusiasts wanting to leverage LangChain for email processing and categorization.

    • Problem Solved

    This workflow addresses the challenge of email overload by automating the process of archiving unnecessary emails and categorizing important ones. It ensures that users can focus on what truly matters, reducing the time spent on email management and improving productivity.

    Workflow Steps

  • Step 1: The workflow is triggered manually or through a Telegram message, initiating the process.
    - Step 2: It retrieves all emails from the Gmail inbox labeled as INBOX.
    - Step 3: The workflow filters out emails that have already been processed to avoid duplication.
    - Step 4: Each email is analyzed by an AI agent to determine if it should be archived or labeled based on its content.
    - Step 5: Emails categorized as unnecessary are archived, while important emails are labeled accordingly.
    - Step 6: The results are aggregated and summarized, then sent back to the user via Telegram, providing a concise overview of the email processing results.

    • Customization Guide

  • Users can customize the labeling rules in the Categoriser node to fit their specific needs, such as adding or modifying criteria for archiving or labeling emails.
    - The Telegram Trigger can be adjusted to respond to different types of messages or commands, allowing for flexible user interaction.
    - The OpenRouter Chat Model parameters can be fine-tuned to improve the AI's categorization accuracy based on user preferences.
    - Users can modify the Sticky Notes to provide additional context or instructions for their workflow, enhancing clarity and usability.