Block 1 - Start: Receive Message on Telegram
- Type / Role
- n8n-nodes-base.telegramTrigger - telegramTrigger
- Config choices
- Version 1.1
This workflow is provided as-is. Please review and test before using in production.
This n8n workflow turns Telegram into a personal language tutor. Users can choose between different learning modes — vocabulary, grammar, quiz, or mixed lessons — simply by adding a hashtag to thei...
n8n-nodes-base.telegramtrigger, n8n-nodes-base.switch, n8n-nodes-base.stickynote, n8n-nodes-base.set, n8n-nodes-aimlapi.aimlapi, n8n-nodes-base.telegram
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by AI/ML API | D1m7asis.
Original n8n.io sourceThis n8n workflow turns Telegram into a personal language tutor.
Users can choose between different learning modes — vocabulary, grammar, quiz, or mixed lessons — simply by adding a hashtag to their message.
The bot processes requests with AI/ML API and sends back structured, interactive lessons in Telegram.
📲 Create Telegram Bot
/newbot → choose a name and username 🔐 Set Up Credentials in n8n
⚙️ Configure the Workflow
💬 Start Learning
#vocabulary — learn new words #grammar — study rules with examples #quiz — get exercisesUser Input:
#vocabulary кукуруза
Bot Output:
Кукуруза (Kukurúza) — Corn
Pronunciation: koo-koo-ROO-zah
Sentence:
Я люблю есть кукурузу на гриле.
I love eating grilled corn.
👉 Try to write your own sentence with “кукуруза”!
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 | Interactive Russian language tutor bot with GPT-4o and Telegram |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | AI Chatbot |
| Author | AI/ML API | D1m7asis |
| Published | 22 Sept 2025 |
Use the JSON export at /data/workflows/8834/8834.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.
This n8n workflow turns Telegram into a personal language tutor. Users can choose between different learning modes — vocabulary, grammar, quiz, or mixed lessons — simply by adding a hashtag to thei...
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 use case.