01 · Challenge
Many workflow automations are difficult to access quickly from a phone and provide little feedback when commands are unsupported or fail.
n8n · Telegram · Gemini
An n8n Telegram bot that receives commands, validates and routes messages, calls an AI response path, and returns concise chat-ready output with a documented local demonstration.

Case study brief
01 · Challenge
Many workflow automations are difficult to access quickly from a phone and provide little feedback when commands are unsupported or fail.
02 · Response
I built a Telegram command interface around an n8n workflow so a user can send a supported command, receive a concise AI-assisted response, and understand failure states.
System anatomy
The architecture is expressed as responsibilities and boundaries so the model, workflow logic, interfaces, and human controls remain inspectable.
Telegram trigger captures the inbound command and sender context
Routing validates supported commands and prepares an AI request
Response formatting returns chat-ready output and preserves test evidence
Implementation
Captured sender and message context from the Telegram trigger.
Validated supported commands before entering the AI path.
Prepared a structured Gemini request and formatted the response for chat delivery.
Recorded demonstration payloads and setup guidance without exposing bot credentials.
Evidence & validation
Importable n8n workflow and validation document.
Saved demo request and response files.
Public GitHub repository, visual assets, and LinkedIn project post.
Reflection
A useful bot needs explicit command contracts and helpful recovery messages; connecting a model is only one part of the interface.
Next iteration
Outcomes
Importable n8n workflow and demo response
Public GitHub repository with setup documentation
Separate LinkedIn project publication with visual evidence
Technology & concepts