Time/week spent: 10h - 30h

Initially, a significant amount of time was spent learning and staying updated with the latest AI technologies and tools. This included reading research papers, watching tutorials, and experimenting with new frameworks. As projects came in, time was divided between client work, such as developing models and integrating AI solutions, and administrative tasks like project management and communication. Marketing and networking also took some time, especially in the beginning to build a client base. Over time, as processes became more streamlined and expertise grew, the time spent on learning decreased, while client work became more efficient. Online communities often mention that the time commitment can vary widely depending on the complexity of projects and the developer's experience level.