Selective Interaction with a Portion of Content by a Generative Response Engine

ChangeBridge: Patent Apps - AI & Computing (G06N)

Published April 2nd, 2026

Detected April 3rd, 2026

Summary

OpenAI OpCo, LLC filed patent application US20260094016A1 for a generative response engine capable of dynamically determining and displaying generated content in appropriate user interface formats. The system enables content display in content frames separate from traditional conversational interfaces, with intelligent assessment of content type to determine optimal display modes. The application was published on April 2, 2026, naming 13 inventors including Bryan Ashley, Lee Byron, and others.

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What changed

The patent application describes a generative response engine that dynamically determines and displays generated content in user interface formats. The system responds to user prompts by displaying content in a separate content frame from traditional conversational interfaces, intelligently assessing content nature to select appropriate display modes. Content can include drawings, games, documents, and other rich media formats, enabling seamless transitions between conversational responses and diverse content types.

Patent applications are informational publications that do not create compliance obligations for other entities. No action is required by technology companies, compliance teams, or legal departments. The application remains in draft status pending USPTO examination and potential grant. No penalties or deadlines apply to this document.

Source document (simplified)

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SELECTIVE INTERACTION WITH A PORTION OF CONTENT BY A GENERATIVE RESPONSE ENGINE

Application US20260094016A1 Kind: A1 Apr 02, 2026

Assignee

OpenAI OpCo, LLC.

Inventors

Bryan Ashley, Lee Byron, Kai Chen, Alexi Christakis, Noah Deutsch, Thomas Dimson, Tarun Gogineni, Daniel Levine, Matthew Lim, Bryant Jow, Akshay Nathan, Karina Nguyen, Michael Wu

Abstract

The present technology can integrate a generative response engine capable of dynamically determining and displaying generated content in appropriate user interface formats. In response to user prompts, the generative response engine can display content in a content frame separate from the traditional conversational interface. The system intelligently assesses the nature of the content and determines the most suitable display mode, enhancing user interaction and collaboration. This interface facilitates both content creation and user collaboration by enabling seamless transitions between conversational responses and rich media content, such as drawings, games, or documents. The system thus optimizes content interaction based on its type and user needs, supporting diverse use cases across media formats.