Dynamic prompt generation for document interaction operations

A computing device comprising:

• a logic subsystem;
• and
• a storage subsystem holding instructions executable by the logic subsystem to:
• receive document content data representing at least a portion of a digital document accessed by a user via the computing device during a document access session;
• receive one or more document context parameters relating to a context of the document access session;
• determine a current prompt domain that pertains to the document access session, wherein the current prompt domain is selected from two or more different prompt domains;
• receive, from a prompt generation system, one or more candidate prompts specifying one or more respective machine learning (ML)-mediated document interaction operations that could be applied to the digital document during the document access session, wherein the one or more candidate prompts are generated based at least in part on the document content data, the one or more document context parameters, and the current prompt domain;
• display the one or more candidate prompts in a user interface (UI) used to display the digital document;
• receive a user selection of a selected prompt of the one or more candidate prompts;
• and
• apply the one or more respective ML-mediated document interaction operations associated with the selected prompt to the digital document.

A method for dynamic prompt generation, the method comprising:

• receiving document content data representing at least a portion of a digital document accessed by a user via a client computing device during a document access session;
• receiving one or more document context parameters relating to a context of the document access session;
• receiving a user selection of a current prompt domain from two or more different prompt domains, wherein the user selection is directed to a segmented control displayed in a user interface (UI) of the client computing device, the segmented control corresponding to the current prompt domain;
• receiving, from a prompt generation system, one or more candidate prompts specifying one or more respective machine learning (ML)-mediated document interaction operations that could be applied to the digital document during the document access session, wherein the one or more candidate prompts are generated based at least in part on the document content data, the one or more document context parameters, and the current prompt domain;
• displaying the one or more candidate prompts in the UI;
• receiving a user selection of a selected prompt of the one or more candidate prompts;
• applying the one or more respective ML-mediated document interaction operations associated with the selected prompt to the digital document;
• receiving user feedback directed to the one or more candidate prompts;
• and
• receiving, from the prompt generation system, a second set of one or more candidate prompts for the digital document generated based at least in part on the user feedback.