Quick overview This workflow turns a Telegram bot into a personal assistant that handles text and voice messages using OpenAI, can read Gmail and Google Calendar, looks up tasks and contacts in Notion, and can draft and send emails with a required approval step in Telegram. How it works Triggers when a new Telegram message is received by your bot. Detects whether the message is a voice note or text, and if it is voice, downloads it from Telegram and transcribes it with OpenAI. Sends the resulting user text to an OpenAI-powered agent that keeps a short conversation memory per chat. When needed, the agent fetches recent emails from Gmail, lists upcoming events from Google Calendar, and pulls tasks or contacts from Notion to answer the request. If the agent decides to send an email, it asks for approval in Telegram and only proceeds after you approve within the time limit. Sends the assistant’s final response back to the same Telegram chat. Setup Create a Telegram bot with @BotFather, add the Telegram credentials in n8n, and use the workflow’s Telegram trigger to connect the bot.
Tags
OpenAI Chat ModelSSimple Memory
TelegramRelated workflows
See all AI Automation→
SSlack chatbot powered by AI
This workflow offers an effective way to handle a chatbot's functionality, making use of multiple tools for information retrieval, conversation context storage, and message sending. It's a setup tailored for a Slack environment, aiming to offer an interactive, AI-driven chatbot experience. Note that to use this template, you need to be on n8n version 1.19.4 or later.
SAI agent chat
This workflow employs OpenAI's language models and SerpAPI to create a responsive, intelligent conversational agent. It comes equipped with manual chat triggers and memory buffer capabilities to ensure seamless interactions. To use this template, you need to be on n8n version 1.50.0 or later.
SAI chatbot that can search the web
This workflow is designed for dynamic and intelligent conversational capabilities. It incorporates OpenAI's GPT-4o model for natural language understanding and generation. Additional tools include SerpAPI and Wikipedia for enriched, data-driven responses. The workflow is triggered manually, and utilizes a 'Window Buffer Memory' to maintain the context of the last 20 interactions for better conversational continuity. All these components are orchestrated through n8n nodes, ensuring seamless interconnectivity. To use this template, you need to be on n8n version 1.50.0 or later.