This article introduces the Möbius Trip Replay, a multimodal deep-learning toolkit developed to transform the analysis of films and cultural representations. By automatically deconstructing and analyzing large datasets from movies and TV shows, the tool provides statistical insights into cinematic techniques and cultural trends. Integrating advanced features such as character tracking, gender recognition, shot scale labeling, and music detection, Möbius Trip Replay identifies cultural blueprints that define genres, directors, and film techniques. This AI-driven approach bridges digital humanities and film studies, revealing nuanced depictions of gender representation and other social biases. The project lays a foundation for future research in media representation, offering a comprehensive framework that extends beyond traditional analysis to include diverse aspects of culture.