About

Guerin Green is a Denver-based political consultant, publisher, and AI strategist. He founded Novel Cognition, an entity architecture and AI strategy firm, after two decades splitting time between political campaigns, community newspapers, and an increasingly uncomfortable realization that the information landscape was changing faster than anyone in those industries wanted to admit.

I got into politics the old way. In 1992, I worked the Colorado Democratic Party coordinated campaign — the ground-level operation that most people never see and nobody thanks. Voter files on paper. Walk lists printed at Kinko's. Phone banks in borrowed office space with phones that didn't always work. I learned two things that year: how elections actually function beneath the rhetoric, and that the people doing the real work are almost never the people giving the speeches.

That led to a decade of political consulting in Colorado. Campaigns for state legislature, city council, school board. The races that decide how your street gets paved, whether your kid's school stays open, whether the cop who pulled you over has a body camera. I was good at the mechanics — targeting, messaging, field operations — and I cared about the outcomes. But somewhere around the mid-2000s I realized I was more interested in how information moved than in who won.

So I started a newspaper. In 2003, I founded the North Denver News, covering the Sunnyside and Highlands neighborhoods back when a house on Zuni Street cost $180,000 and people looked at you funny for buying one. The paper covered zoning fights, school closures, crime, restaurants, and the slow-motion gentrification that would eventually price out most of the families I'd started writing for. I later launched the Cherry Creek News and the Fior Reports. Community journalism, done with a small staff and a chronic inability to stop covering stories that annoyed powerful people.

The newspaper work taught me something the political work hadn't: that local information is the foundation everything else sits on. When your neighborhood paper goes away, the city council stops being accountable, the school board stops being transparent, and the real estate developers stop having to explain themselves. I watched that happen in real time across Denver.

The transition to technology was less a pivot than a slow gravitational pull. I'd been building websites since the late 1990s, doing SEO before it had a name, and watching Google evolve from a search engine into something more like an information utility. When machine learning started reshaping how search worked — Knowledge Panels, entity recognition, the shift from keywords to concepts — I saw the same patterns I'd seen in politics and journalism. The systems that determine what people know, and what they don't know, were being rebuilt from the ground up. Again.

Novel Cognition came out of that recognition. The work is entity architecture — building structured, verifiable identity signals that help AI systems and search engines understand who someone is, what they've done, and whether they should be trusted. I presented on generative AI and its implications for professional practice at the FFA Federal Courthouse in Denver, talking to a room full of lawyers about why the systems that used to just rank web pages were now generating answers, and what that meant for anyone whose livelihood depends on being findable and credible.

I live in North Denver, same neighborhood I started covering twenty years ago. The houses on Zuni Street cost a lot more now. I train with kettlebells and barbells, I deadlift more at fifty-something than I did at thirty, and I ride motorcycles in the mountains when the weather cooperates. I have a dog who is better company than most people I've met in politics.

This site is where I write about the things I think about — technology, politics, fitness, Colorado, and whatever else doesn't fit into a business context. It's not a portfolio. It's not a newsletter. It's just writing.