Systems and methods for generating new content from a machine-learning model. A content generator extracts string content from existing slides of a slide presentation document and generates a text query using the existing slide content as context. The query is directed to a large language model. Additionally, prompt input from a user is received and combined with the context in the query. A response from the large language model is parsed and text output is separated into prospective slides to add to the slide presentation document. Upon selection of one or more prospective slides, the prospective slides are generated and added as new slides to the slide presentation document.