The AI tutor profession has emerged as a hybrid role combining business analysis, technical integration, and personalized instruction. These specialists help entrepreneurs and business owners automate routine tasks by implementing artificial intelligence directly into their existing workflows.
Clients typically range from 30 to 50 years old and include business owners who recognize the potential of AI but lack the time or technical patience to master tools like VPNs, foreign service payments, or complex prompt engineering on their own.
The tutoring process focuses on solving real business problems rather than abstract theory. Tutors analyze a client's processes, identify repetitive tasks, and demonstrate how to use AI agents or chat interfaces to handle them, effectively providing both the solution and the training.
Pricing for these services is often set at 10 000 ₽ per hour, with consultants encouraging clients to purchase multi-hour packages. This structure acts as a barrier to ensure commitment and allows for deeper, project-based collaboration.
Technical setups often involve local neural networks for tasks like audio transcription and speaker diarization. Tools mentioned include Whisper for transcription, pyannote for diarization, and various models from Sber and T-Bank, which are used when local processing is required for high-volume data.
