Use Cases
- Automating responses to multiple messages in Telegram
- Enhancing user interaction with chatbots
- Aggregating user messages for coherent replies
- Improving customer support efficiency
How It Works
Receives messages from Telegram Stores incoming messages in a Supabase database Waits for a specified duration to capture additional messages Aggregates stored messages into a single conversation Generates a response using an AI model Sends the unified reply back to the user
Setup Steps
- 1Import the workflow template into n8n
- 2Create a Supabase table named 'message_queue' with required columns
- 3Add Telegram, Supabase, and OpenAI credentials
- 4Activate the workflow
- 5Test by sending multiple messages to the Telegram bot
Apps Used
Telegram
Supabase
OpenAI
Categories
Target Roles
Tags
#ai chatbots
#process automation
#workflow management