The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 06, 2026

Filed:

Jan. 31, 2025
Applicant:

Openai Opco, Llc., San Francisco, CA (US);

Inventors:

Noah Deutsch, San Francisco, CA (US);

Thomas Dimson, San Francisco, CA (US);

Grant Jenks, Santa Clara, CA (US);

Constantin Koumouzelis, Mountain View, CA (US);

Karina Nguyen, San Francisco, CA (US);

Andrew Schmidt, San Francisco, CA (US);

Key Shin, Menlo Park, CA (US);

Madeline Simens, San Francisco, CA (US);

Vivek Verma, San Francisco, CA (US);

Kshitij Wadhwa, San Francisco, CA (US);

Assignee:

OpenAi OpCo, LLC., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2019.01); G06F 40/35 (2020.01); G06F 40/40 (2020.01);
U.S. Cl.
CPC ...
G06F 40/35 (2020.01); G06F 40/40 (2020.01);
Abstract

The present technology pertains to a system for generating automations based on a request/prompt from a user to a language model. The language model receives a prompt in a conversation thread with a user. When the prompt includes a request for a delayed action (i.e., an automation), the request is forwarded to an automations engine, which determines the delayed action from an action component of the request and a time at which to perform the delayed action from a temporal component of the request. A scheduling instruction based on the determined time is sent to a scheduler, which signals when the time occurs, triggering the automations engine to perform the delayed action, for example, by acting as the user's delegate and sending a delayed prompt to the language model to elicit a response and amending part or all of the resulting conversation to the conversation thread with the user.


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