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This paper presents a scrutinising attempt to design an artificial design tutor (ADT) that can specifically support development task throughout the phases of product development. In the format of a conceptual paper, it is arguable important to consider how artificial intelligence can support task related aspects, and more complex process-oriented design processes, not as an immediate substitute but as a supplement. With the purpose to present the founding principles of an ADT, the full paper adds insights through a series of interviews with academics and professionals working in the field of AI. The ADT is designed based on generative AI protocols and follows the escalating trend of utilising more and more areas with AI tools to facilitate and improve existing processes. From Newsweek magazine alone, it has been stated that numerous fully functioning AI apps are released every week, exceeding a growth rate of 38% in 2023. The AI components in an ADT can contribute to improved decision-making processes, where machine learning algorithms may be used to improve the ADT's ability to recognise and capture user preferences, emerging design trends, and successful design strategies. Consequently, given the range of scope, we still have not faced any ADT, which probably is connected to the complexity of the process itself. This paper hopes to inspire the cross-disciplinary efforts that advance the community of designers, and design educators, involving computer scientists, IT specialists, AI consultants, systems developers, and beyond, to further explore potential and risks of AI-enabled design support.