This article explores the utilization of Al within the field of Architecture education. Al has demonstrated favorable outcomes in information management and computational acceleration. Various studies indicate that generative Al also exhibits potential in the design stage. To investigate this assertion, an activity involving students pursuing a Building Engineering degree was devised, employing diverse Al applications to conceptualize an interior renovation. Through surveys assessing satisfaction levels with each application's outcomes and its subsequent analysis, it is observed that while Al enjoys widespread acceptance and considerable potential, it remains deficient in aspects such as perspective and lighting. This underscores the necessity for students to cultivate discernment in evaluating Al outputs, alongside the ongoing imperative of training machines with high-quality data.