Systems and methods for distributing network application data according to machine-learning output

Abstract

Described herein are systems and methods for providing machine-learning system functionalities. A system can receive, from an application executing on a client device during a communication session, a prompt for a language model comprising a request for information corresponding to the application. Using the prompt, the system can identify an identifier of a first application interface of a plurality of application interfaces of the application to satisfy the request for information. The system can generate, using the language model, the prompt, and the identifier, output comprising a data structure corresponding to formatting of a graphical element that, when interacted with, causes navigation to the first application interface. The system can provide the output to the client device in response to the request, causing the client device to parse the data structure and generate the graphical element for display in a graphical user interface.