Prices are checked against each store and labelled with when.
It checks today's price at every store, compares the alternatives and answers in about a minute.
This is an n8n workflow template that turns a Telegram bot into an AI assistant. It handles both text and voice messages: voice notes are transcribed to text, an AI agent powered by GPT-5 writes a reply, and the bot shows a typing indicator while it works. It suits people already running n8n who want a working multi-modal bot without building the logic from scratch. Compared with hand-built bots, it saves setup time but depends on your own Telegram, OpenAI and n8n credentials and usage.
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This is an n8n workflow that turns a Telegram bot into an AI assistant. It understands both text messages and voice notes and replies in a conversational way. Voice messages are transcribed to text automatically, and the bot shows a "typing..." indicator while it processes each message.
The workflow starts with a Telegram Trigger that captures incoming messages. Switch nodes route the different input types, and Set nodes handle data processing. A LangChain Agent connected to OpenAI generates the responses, which are sent back to the user in the same Telegram conversation.
Setup requires creating a Telegram bot through @BotFather, configuring Telegram API credentials in n8n, and connecting a speech-to-text service for voice transcription. The workflow then handles the full conversation flow, from input detection to the reply.