Block 1 - Google Gemini Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
Quick Summary This workflow connects Telegram , Google Gemini AI , and Notion to make task creation effortless. Whenever you send a message to your Telegram bot, Gemini AI reads your message, under...
@n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.stickynote, n8n-nodes-base.telegramtrigger, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.telegram, n8n-nodes-base.if, n8n-nodes-base.notion
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Abhiman.
Original n8n.io sourceThis workflow connects Telegram, Google Gemini AI, and Notion to make task creation effortless.
Whenever you send a message to your Telegram bot, Gemini AI reads your message, understands what task you meant, and automatically creates it in your Notion database - complete with the task name and due date.
If you approve, the task is added to Notion and you’ll get a confirmation in Telegram.
If you decline, it simply replies that ❌ no task was created.
Perfect for anyone who wants to capture ideas or to-dos directly from Telegram without opening Notion every time.
Quick task capture from Telegram
Turn reminders into Notion tasks
Tip: For best results, include clear dates in your messages like 25 May or May 25, 2025 so the AI can extract them accurately.
Before using this workflow, make sure you have the following ready:
Telegram Bot Setup
/newbot command. Google Gemini API Key
models/gemini-2.5-flash-lite model, which works perfectly on the free tier.Notion Database Setup
Title / text). Date).Optional Security Note
chatId to your own Telegram user ID if this workflow is for personal use.You can easily extend this workflow to capture more details from your Telegram messages using the AI Extract node.
Here are a few simple ways to customize it:
Add more extracted fields
Example messages you can send
Map extra fields to Notion
output.Priority) to their respective fields.Send confirmation with extra data
Task: {{ $json.output.TaskName }}
Due: {{ $json.output.TaskDue }}
Priority: {{ $json.output.Priority }}
Duration: {{ $json.output.Duration }}
By doing this, you can build a smarter task capture system that includes priority, time estimation, and other useful details, all directly from your Telegram chat.
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 | Extract tasks from Telegram messages to Notion using Gemini AI and Approvals |
|---|---|
| Complexity | advanced |
| Nodes | 15 |
| Categories | Personal Productivity, AI Chatbot |
| Author | Abhiman |
| Published | 05 Oct 2025 |
Use the JSON export at /data/workflows/9271/9271.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.
Quick Summary This workflow connects Telegram , Google Gemini AI , and Notion to make task creation effortless. Whenever you send a message to your Telegram bot, Gemini AI reads your message, under...
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 Personal Productivity, AI Chatbot use case.