System and method of providing context-aware authoring assistance

A method for automatically generating content for a user based on a context comprising:

• conducting a search of data associated with the user to generate first search results associated with the user;
• applying one or more first models to the first search results to infer first patterns associated with the user and to generate a first set of content based on the inferred patterns;
• generating a first pseudo-document that includes a first set of pattern content, based on the first set of content generated by the one or more first models;
• applying one or more second models to data associated with the context to infer second patterns associated with the context and to generate a second set of content based on the second inferred patterns;
• generating a second pseudo-document based on the second set of content generated by the one or more second models;
• creating a prompt, using a prompt generating engine, by integrating the first pseudo-document and the second pseudo-document;
• and
• transmitting the generated prompt to a language model to cause the language model to generate the content for the user, the content being customized to both the user and the context.

A non-transitory computer readable medium on which are stored instructions that, when executed, cause a programmable device to perform functions of:

• processing a user query submitted by a user, the user query including one or more terms and a context;
• constructing a search query based on the one or more terms and at least one of the user and the context;
• applying the search query to at least one of data associated with the user and data associated with the context to generate search results associated with the one or more terms and at least one of the user and the context;
• providing search results associated with the one or more terms and the user to one or more first models to generate a first set of content associated with the user;
• receiving the first set of content from the one or more first models;
• providing search results associated with the one or more terms and the context to one or more second models to generate a second set of content associated with the context;
• receiving the second set of content from the one or more second models;
• automatically extracting data from the first set of content associated with the user and the second set of content associated with the context to generate a pseudo-document;
• creating a prompt, using a prompt generating engine, by integrating the user query with the pseudo-document;
• and
• transmitting the generated prompt to a language model to cause the language model to generate a response to the user query that is customized to both the user and the context.