Generative artificial intelligence system and method for digital communications

A computer-implemented method for generative artificial intelligence, the method comprising:

• maintaining a data store storing a template and a semantically named variable associated with the template, the template defining a layout for a plurality of objects;
• receiving, based on a user interaction with a user interface, an indication to generate content for a selected object, the selected object included in the plurality of objects;
• generating a request to a generative AI model, the request comprising:
• a context, the context comprising the semantically named variable;
• and
• a prompt to cause the generative AI model to generate text;
• inputting the request to the generative AI model;
• receiving a response to the request from the generative AI model, the response to the request comprising AI-generated text that includes the semantically named variable;
• and
• storing the AI-generated text to the selected object;
• and
• generating a document that includes the template.

A system comprising:

• a data store, the data store storing a document design for a multi-channel document, the document design for the multi-channel document comprising:
• a page template defining a layout for a plurality of objects;
• a set of variables;
• an artificial intelligence (AI) model;
• a production server coupled to a plurality of communications channels;
• a back-end system comprising:
• a processor coupled to the data store;
• a memory coupled to the processor, the memory storing a set of instructions executable by the processor, the set of instructions comprising instructions for:
• accessing a selected object selected from the plurality of objects;
• populating the selected object with AI-generated content, populating the selected object further comprising:
• receiving, based on a user interaction with a user interface, an indication to generate content for the object of the document design;
• determining, from the document design, a semantically named variable for use in content generation;
• generating a request to a generative AI model, the request comprising:
• a context, the context comprising the semantically named variable;
• and
• a prompt to cause the generative AI model to generate text;
• inputting the request to the generative AI model;
• and
• receiving a response to the request from the generative AI model, the response to the request comprising AI-generated text that includes the semantically named variable;
• and
• storing the AI-generated text to the object;
• and
• inputting the document design to the production server, to generate the multi-channel document.