Generation of personalized and structured content using a collaborative online generator

A computer-implemented method for automatically generating personalized and structured content, the method comprising:

• providing, by a computing system comprising one or more processors, a user interface to a user computing system, the user interface including an integrated development environment in which content is insertable in-line by at least a user of the user computing system;
• receiving, by the computing system, a prompt from the user of the user computing system via the user interface;
• providing, by the computing system, the prompt to a generative model, the generative model being a machine-learned model trained to process language input prompts to generate a language output;
• receiving, by the computing system, a generative output generated by the generative model in response to the prompt;
• generating, by the computing system, a modified output by modifying the generative output based at least in part on historical user data for the user, wherein the historical user data is not provided to the generative model;
• and
• providing, by the computing system, the modified output via the user interface and in-line within the integrated development environment.

One or more non-transitory computer-readable media that collectively store instructions that, when executed by one or more computing devices, cause the one or more computing devices to perform operations, the operations comprising:

• providing a user interface to a user computing system, the user interface including an integrated development environment in which content is insertable in-line by at least a user of the user computing system;
• receiving a prompt from the user of the user computing system via the user interface;
• providing the prompt to a generative model, the generative model being a machine-learned model trained to process language input prompts to generate a language output;
• receiving a generative output generated by the generative model in response to the prompt;
• generating a modified output by modifying the generative output based at least in part on historical user data for the user, wherein the historical user data is not provided to the generative model;
• and
• providing the modified output via the user interface.