Operations & Systems
Telegram Task Management w/ Todoist
This workflow processes Telegram messages (voice/text). It transcribes voice via OpenAI. An LLM then breaks down the input into structured Todoist tasks, creates them, and sends a confirmation back to Telegram.
Built · ~4.5 hours saved per week
Telegram AI Task Management with Todoist
This workflow transforms Telegram messages, both text and voice, into structured, actionable tasks within Todoist. It acts as an intelligent personal assistant, capable of receiving a high-level project or idea, decomposing it into sub-tasks, assigning priorities, and automatically populating them into a task manager.
Technologies & Automation Value
Technologies Used - n8n: The core automation platform coordinating the entire process. - Telegram: Serves as the user interface for capturing tasks via text or voice message and for sending confirmations. - OpenAI (Whisper): Provides speech-to-text functionality to transcribe voice notes. - OpenAI (GPT-4o mini): The AI brain that interprets requests, breaks down projects into sub-tasks, and structures the data for automation. - Todoist: The task management platform where the final, structured tasks are created.
How AI Integrates into the Flow Artificial Intelligence is central to this workflow's value, providing two key capabilities:
1. Speech-to-Text Transcription: The Transcribe Voice to Text node utilizes OpenAI's Whisper model. It takes raw audio from a Telegram voice message and accurately converts it into written text. This makes on-the-go, hands-free task capture possible.
1. Intelligent Task Decomposition & Structuring: The core AI logic resides in the Basic LLM Chain which uses the gpt-4o-mini model. It receives the user's text and a detailed system prompt instructing it to act as a "project management assistant." The AI's role is to: - Analyze: Understand the user's request, no matter how complex (e.g., "Plan my upcoming marketing campaign"). - Decompose: Break the large request into smaller, logical, and actionable sub-tasks. - Prioritize: Intelligently assign a priority level (1-4) to each sub-task based on implied importance. - Structure: Format the output as a clean JSON list, which is essential for the downstream nodes to process automatically.
The AI elevates this workflow from a simple data-entry tool to an intelligent assistant that does the heavy lifting of project planning for the user.
Tags: Telegram, OpenAI, AI Assistant
Integrations: OpenAI, Telegram