Abstract: An automated video editing system facilitates the creation of non-linear editing (NLE) timelines using a single prompt from a user. The system automatically ingests digital media, including video, audio, text, and images, and processes them to generate a proxy version with extracted features such as speech transcription, shot detection, facial recognition, and text recognition. A prompt-driven editing engine interprets user input and generates an edit decision list (EDL) using a large language model, which guides the assembly of an edited video timeline. The system also applies advanced editing features-such as captioning, animated title cards, font and color styling, sound effects, and transitions-based on learned user preferences. Additionally, it enables contextual overlays, chapter cards, and hierarchical timelines, while continuously learning user preferences to personalize editing results.