San Francisco, CA, United States of America

Ryan Nystrom

This inventor holds 2 USPTO granted patents. Top assignee: Notion Labs, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ryan Nystrom. Retrieved from https://idiyas.com/inventor/ryan-nystrom

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

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Average Co-Inventor Count = 5.0


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Ryan Nystrom: Inventor of AI Agent Automation Systems

Introduction

Ryan Nystrom is an inventor based in San Francisco, California, and is associated with Notion Labs, Inc. His patent work focuses on artificial intelligence agents, automated triggers, and ways to execute instructions through agents or scripts. He is credited with 2 patents.

Latest Patents

Nystrom’s recent patent work includes two inventions related to AI agent automation.

“Artificial Intelligence Agent Execution Using Triggers” describes systems and methods in which an automation uses a trigger to initiate an AI agent. When the trigger occurs, the agent receives relevant context, executes its instructions, and returns an output.

“Artificial Intelligence Agents and Scripts as Targets of a Trigger for Executing Instructions” describes a process for replacing an AI agent with a script when a task is suitable for deterministic execution. After a trigger calls the agent with relevant context, the agent can determine that a script is appropriate, allowing the script to become the trigger’s target.

Career Highlights

Nystrom’s disclosed inventions address practical approaches to building automated workflows with AI agents. His work explores both agent-driven execution and the transition to scripts for tasks that can be handled deterministically.

Collaborations

Nystrom is associated with Notion Labs, Inc. His listed coworkers include Quinn Hajime Johnson and Sean Keenan.

Conclusion

Ryan Nystrom’s patent work centers on trigger-based AI automation and the use of scripts for predictable tasks, reflecting an effort to make automated systems more adaptable and efficient.

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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