My Gen AI Patent Is Published

Two fun news items:

1. My Gen AI patent via Cisco has officially been published.
2. I started a new AI role at Cisco.

What an end to the summer.

The Patent

The patent — US20250233802A1 — is for a spanning content tree for intellectual capital creation and configuration completion function through generative artificial intelligence prompt pipeline.

In plain language: it’s a system for AI-generated support content creation and network automation. Jordan Clemens and I developed this together, and getting it through Cisco and approved by the US Patent & Trademark Office was a journey.

What It Actually Does

The system uses a generative AI pipeline to create structured support content — think documentation, configuration guides, troubleshooting steps — that’s organized as a spanning content tree. This tree structure allows for intelligent content creation that understands relationships between topics and fills gaps automatically.

The “configuration completion function” piece is about network automation: using the same AI pipeline to help complete and validate network configurations, reducing errors and setup time for customers.

Why It Matters

This isn’t just an academic exercise. The patent directly feeds into the work I do at Cisco, where I now lead AI Strategy and Experience for the SMB support organization. The techniques in this patent are being applied to real products that help real customers manage their networks more effectively.

The Arc

The fact that it’s in generative AI, at a company I’ve been connected to since I was in their Networking Academy in 2002, makes it meaningful.

From Cisco Networking Academy graduate to Cisco patent holder. Not a bad arc.

The patent is publicly available on Google Patents. If you’re working on similar AI content systems, I’d love to compare notes. Let’s work together.