US20250190769
2025-06-12
Physics
G06N3/0475
The patent application describes a data processing system designed to assist users in generating documents using Generative Artificial Intelligence (GAI), specifically Large Language Models (LLMs). The system employs a processor and memory to execute a service that facilitates user input through a User Interface (UI). This input includes an initial description of the intended document and relevant parameters. The system uses a prompt generator to communicate with the LLM, creating both an outline and a draft of the document, which can be iteratively refined based on user feedback.
Historically, document creation was a manual process involving pen and paper, requiring users to determine content and structure mentally. While modern word processors have simplified editing and formatting, conceptualizing and organizing ideas remain time-consuming tasks. The described technology aims to address these challenges by automating the generation of document outlines and drafts, thus streamlining the creative process.
The system's core functionality revolves around a UI that captures user input regarding the document's content and parameters. A prompt generator then formulates instructions for an LLM to create an outline and a draft. Users can edit either component, prompting the system to update the other in real-time, ensuring synchronization between the outline and the draft. This interactive model leverages AI to reduce the manual effort involved in document creation.
A key aspect of the system is its ability to analyze various signals such as goal, tone, voice, audience, and output type. These signals guide the LLM in suggesting document structures and generating content. The interface allows users to see both the outline and draft simultaneously, enabling real-time updates as changes are made. This dual-canvas approach enhances user interaction by providing immediate feedback on edits.
The user interface is designed for accessibility across different platforms—local applications, cloud services, or browsers. Users begin by describing their desired document in natural language, which could range from articles on climate change to code for a landing page. The system supports various content types, including documents, slide decks, programming code, and more. By simplifying input processes and utilizing AI-driven prompts, the system significantly reduces the cognitive load associated with organizing and drafting documents.