Automated Profession Task Analysis with GPT-4 & Telegram

This workflow enables users to assess which tasks in their profession can be automated using AI and which are better handled by humans, based on the Human Agency Scale (HAS). When a user sends a job title via Telegram, the system routes both text and voice messages—voice messages are transcribed via OpenAI’s Whisper. The input data is then processed by an AI agent powered by GPT-4, which analyzes typical tasks associated with the profession, leveraging live context from Tavily web searches to produce a comprehensive 4-zone matrix: Green (full automation), Yellow (semi-automation with oversight), Red (autonomous but preferred manual), and White (core human growth activities). The generated matrix, including task examples and explanations, is sent back to the user via Telegram, facilitating career guidance, HR decision-making, and automation audits. The workflow is practical for industry professionals, HR teams, and consultants aiming to develop scalable automation assessments tailored to individual jobs.