Automated Task Management via Telegram and Google Tasks

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This n8n workflow automates task management by integrating Telegram messages, AI processing, and Google Tasks. It enables users to create, update, and retrieve tasks based on voice messages or text inputs received via Telegram. The workflow starts with a Telegram trigger that captures incoming messages or voice notes. If a voice note is detected, it is downloaded and transcribed using OpenAI’s audio transcription. The text input, whether from spoken or written messages, is processed by an AI agent that generates task details such as title, notes, and due dates. These details are then used to create new tasks or update existing ones in Google Tasks, as well as retrieve today’s and upcoming tasks. The workflow also includes a Telegram messaging node to send responses back to the user, confirming actions or providing task updates. This setup is practical for users who wish to manage their tasks hands-free through simple chat commands, voice notes, or AI assistance, seamlessly bridging communication and task organization across platforms.

Node Count

>20 Nodes

Nodes Used

@n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.mcpClientTool, @n8n/n8n-nodes-langchain.mcpTrigger, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, googleTasksTool, set, stickyNote, switch, telegram, telegramTrigger

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