Block 1 - Telegram Trigger
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
How It Works User sends a reminder request via Telegram (e.g., “Remind me to clean the garage tomorrow at 12 pm”). The request is parsed by AI Agent and stored in Airtable with a unique reminder co...
n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmchatopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.airtable, n8n-nodes-base.code, n8n-nodes-base.telegram, n8n-nodes-base.merge
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by kiran adhikari.
Original n8n.io sourceHow It Works
User sends a reminder request via Telegram (e.g., “Remind me to clean the garage tomorrow at 12 pm”).
The request is parsed by AI Agent and stored in Airtable with a unique reminder code.
The reminder workflow checks Airtable at scheduled intervals and sends a Telegram notification when the reminder is due.
Each reminder includes a unique cancel code (e.g., Reply 4936 to stop this reminder).
If the user replies with the code, the bot searches Airtable, deletes the reminder, and confirms the deletion in Telegram.
If the code doesn’t exist, the bot replies “Code not found.”
⚡ Setup Steps
Create a Telegram Bot
Use BotFather on Telegram.
Run /newbot and copy your bot token.
Add the token in your Telegram Trigger and Telegram Send nodes in n8n.
Set Up Airtable
Create an Airtable base called REMINDER-TABLE.
Add a table with fields:
title (Text) – reminder text
due_at (Date/Time) – when the reminder is due
chat_id (Text) – user’s Telegram chat ID
code (Number/Text) – unique cancel code
Generate an API key / Personal Access Token and connect it in n8n.
Import This Workflow
In n8n, click Import Workflow.
Paste the JSON template.
Connect your Telegram and Airtable credentials.
Activate the Workflow
Start the workflow in n8n Cloud or Self-Hosted.
Send a test reminder in Telegram (e.g., “Remind me in 5 minutes to call mom”).
When notified, reply with the cancel code to test deletion.
Optional Customizations
Modify reminder frequency (Every 5 minutes node).
Change reminder message formatting in the Format Message node.
Add logging/analytics by connecting Google Sheets or another DB.
⚡ Result: You now have a fully automated AI-powered Telegram Reminder Bot with Airtable storage, cancel codes, and real-time notifications!
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Create smart Telegram reminders with GPT-4 mini and Airtable cancel codes |
|---|---|
| Complexity | advanced |
| Nodes | 18 |
| Categories | AI Chatbot, Multimodal AI |
| Author | kiran adhikari |
| Published | 26 Aug 2025 |
Use the JSON export at /data/workflows/7921/7921.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
How It Works User sends a reminder request via Telegram (e.g., “Remind me to clean the garage tomorrow at 12 pm”). The request is parsed by AI Agent and stored in Airtable with a unique reminder co...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your AI Chatbot, Multimodal AI use case.