Creating and disseminating high-quality presentation slides have be come a foundation for effective communication in educational, corporate, and scientific domains. This study addresses the challenge of enhancing the quality of user-generated presentation content amidst the vast quantities of existing re sources. The study is concerned with an ongoing design science research project that focuses on constructing a nascent design theory for a novel AI-based slide evaluation support system (SESS) that aims to assist users, particularly educators, create high-quality presentation slides. The proposed concept leverages recent developments in Generative Artificial Intelligence (genAI) to analyze multi modal user-generated content. Drawing on signaling theory, user-generated online reviews, and expert interviews, this research aims to contribute to deline ating the capabilities of artificial intelligence in digital content evaluation, spe cifically in assisting users to improve the quality of their presentation slides. For practitioners, we offer a set of generalized design principles and design features for the implementation in the development of an AI-based SESS.