Designing with data and Artificial Intelligence (AI) can bring significant value to the development of systems and technologies that promote personal wellbeing. However, there are also unaddressed challenges and risks connected to designing (with) AI for wellbeing, such as the difficulties in ensuring that the generated feedback or proposed interventions are relevant considering the large interpersonal variations between the current, desired and achievable level of physical and mental wellbeing of different individuals. In this one-day hybrid workshop, we aim to bring together design and HCI researchers and practitioners interested in the intersection of design, AI, and wellbeing beyond clinical applications. We will discuss challenges in designing with AI for wellbeing originating from a) the domains of design and b) general issues in developing AI systems, and uncover new potential directions that emerge when coupling design, AI and wellbeing. Our aim is to bring together researchers and practitioners from various fields and backgrounds who use data and AI when designing for wellbeing. Through this workshop, we aim to create a conceptual framework that enables the emergence of rich, meaningful, and ethical solutions for designing (with) AI for wellbeing, while also providing handles to mitigate the emergence of negative consequences.