San Francisco, CA, United States of America

Justan Fee

This inventor holds 1 USPTO granted patent. Top assignee: Pagerduty, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Justan Fee. Retrieved from https://idiyas.com/inventor/justan-fee

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Justan Fee and Generative AI for Incident Workflows.

Introduction

Justan Fee is an inventor based in San Francisco, California, and works at PagerDuty, Inc. His patent work concerns using generative artificial intelligence to create a natural-language interface for incident workflows.

Latest Patents

Fee is associated with 1 patent, titled “Using Generative AI to Make a Natural Language Interface.” The invention describes an operations computing system that receives a user’s natural-language input about an incident and generates prompts. A machine-learning model produces clarifying questions or instructions, which the system sends to the user. After receiving additional input, the system uses the model to create and update structured text data, including instructions for creating an incident workflow.

Career Highlights

Fee’s patent highlights an approach to making incident-workflow creation more accessible through natural-language interaction. By combining user input, clarifying prompts, and structured data generation, the system is designed to translate incident descriptions into workflow instructions.

Collaborations

Fee’s listed coworkers include Dylan Lingelbach and Weiyu Max Li. The patent information provided does not specify their roles in the invention.

Conclusion

Justan Fee’s patent work at PagerDuty, Inc. focuses on applying generative AI to help turn natural-language incident descriptions into structured instructions for creating workflows.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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