Abstract: Automatic user experience generation is described. A user experience system receives input specifying at least one machine learning model to use in generating a user experience for at least one specified user profile. Available machine learning models are identified and displayed for selection by the system based on profile information associated with the user profile(s). An output is generated by applying at least a subset of the profile information as input to the selected machine learning model, and supplies the generated output to at least one different machine learning model, to generate a target outcome for the selected user profile(s). Additionally, the system automatically detects acceptable data input types and formats for a model and translates data as necessary before input to the model(s). Model outputs are then used by an experience generation module to identify digital content corresponding to the outputs and generate user experiences including the digital content.