Intelligent Task Decomposition from Telegram Voice/Text and Automatic Creation in Todoist

Workflow Name

Intelligent Task Decomposition from Telegram Voice/Text and Automatic Creation in Todoist

Key Features and Highlights

This workflow enables receiving user voice or text messages from Telegram, automatically transcribing voice to text, and leveraging OpenAI’s powerful language models to intelligently analyze the content. It decomposes the input into structured, actionable subtasks and automatically creates them in the Todoist task management tool. Finally, the task creation results are sent back to the user via Telegram messages. Supporting multimodal input (voice and text), this solution combines natural language understanding with automated task management to significantly enhance task planning and execution efficiency.

Core Problems Addressed

• Eliminates the tedious manual work of breaking down and organizing tasks when users submit task descriptions via instant messaging (Telegram).
• Automatically converts natural language tasks into structured subtasks with clear priorities, preventing task omissions or priority confusion.
• Simplifies the task entry process, reduces repetitive operations, and improves the intelligence level of project management.

Application Scenarios

• Team members quickly submit project or work tasks via Telegram; the system automatically decomposes them into executable steps, facilitating task assignment and tracking.
• Individual users input to-dos via voice or text; the system intelligently generates prioritized subtasks and syncs them automatically to Todoist, boosting personal productivity.
• Any scenario requiring conversion of natural language descriptions into executable task lists, such as turning meeting minutes into tasks or breaking down client requirements.

Main Workflow Steps

1. Receive Message: Monitor Telegram for incoming voice or text messages to trigger the workflow.
2. Determine Message Type: Use a Switch node to identify whether the message is voice or text.
3. Voice Processing (if voice): Download the voice file and call the OpenAI Whisper model to transcribe it into text.
4. Text Preparation: Prepare the text content for subsequent processing.
5. Task Decomposition: Invoke the OpenAI GPT-4 model with a predefined project management prompt to break down the text into a structured list of subtasks formatted according to Todoist’s input requirements (including task content and priority).
6. Task Creation: Create the decomposed subtasks one by one in the specified Todoist project.
7. Feedback Confirmation: Notify the user via Telegram message with details of the successfully created tasks, confirming their addition to Todoist.

Involved Systems and Services

• Telegram: Source of input messages and channel for result feedback.
• OpenAI Whisper API: For voice-to-text transcription.
• OpenAI GPT-4 (gpt-4o-mini) Model: For natural language understanding and task decomposition.
• Todoist: Task management tool for storing and managing the decomposed subtasks.

Target Users and Value Proposition

• Project Managers and Team Leaders: Simplify task delegation, ensuring clear task structure and reasonable prioritization.
• Freelancers and Individual Users: Quickly capture to-dos via voice or text, automatically generating actionable task lists to improve efficiency.
• Any Users Relying on Telegram for Communication and Todoist for Task Management: Achieve seamless transition from communication to execution, reducing manual operations and enhancing work intelligence.

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By integrating speech recognition, natural language processing, and task automation, this workflow creates an efficient and convenient intelligent task management assistant that helps users effortlessly transform ideas into executable plans, driving work forward effectively.