#172 My Town AI: ChatGPT Meets SimCity

Most people building AI products have never run anything more complex than a SaaS startup. Nichole Sterling has been elected to run an actual town. That experience makes her the rare founder who understands that technology without institutional knowledge is just expensive theater.

Sterling, CEO of My Town AI and mayor pro tem of Nederland, Colorado, is building what she calls "ChatGPT meets SimCity" , an AI assistant that helps local governments manage the crushing complexity of municipal operations. But her pitch reveals something more urgent: how America's 19,000 municipalities are drowning in their own bureaucracy, and why the current wave of AI tools completely misses the point.

The problem Sterling describes isn't sexy, but it's everywhere. "I am in a city council meeting, and we are debating a wildlife evacuation route," Sterling explains. "But nobody can remember why an evacuation route to the south was abandoned over five years ago. It's lost in board meeting recordings and institutional memory." This isn't incompetence. It's the inevitable result of complex systems running on human memory and scattered documents.

Sterling's frustration comes through when she describes the current state of civic tech: "I'm so sick of people that are building stuff for building stuff's sake." She's not wrong. Most government technology feels like it was designed by people who have never sat through a zoning hearing or tried to explain why someone can't build a deck without a permit.

My Town AI attacks this problem by creating what Sterling calls a "municipal brain" , an AI system trained on local ordinances, meeting minutes, and regulatory history. The demo she shows is almost mundane in its practicality. A citizen asks about fence height restrictions, and the AI responds: "At 750 West 5th Street in Nederland, Colorado, you can build a fence up to seven feet in height without requiring a permit." But the real magic isn't the answer. It's that the system accounts for local topography, soil conditions, and the specific quirks of Nederland's municipal code.

This specificity matters because local government is irreducibly local. A fence ordinance in coastal Florida means something completely different than one in mountain Colorado. Sterling's background running Nederland gives her something most AI founders lack: direct experience with the institutional knowledge that makes government work or fail.

The business model targets two pain points. For citizens, My Town AI eliminates the runaround of calling city hall with basic questions. "Do you even understand how many fence questions we get from citizens?" Sterling asks, highlighting the reality that most municipal customer service is answering the same regulatory questions over and over. For city staff, the system preserves institutional memory and accelerates complex decision-making.

But Sterling's real insight is about scale. With 19,000 municipalities in the United States, each with its own maze of ordinances and procedures, there's no way to solve this problem with human expertise alone. Even small towns need systems that can instantly recall why certain decisions were made and what options remain available.

The technical challenge isn't just natural language processing. It's building AI that can navigate the intersection of federal regulations, state law, local ordinances, and years of precedent-setting decisions. Sterling's team has to make the system smart enough to know that a question about building permits might actually be constrained by watershed protection rules or historic district requirements.

This complexity explains why most civic tech fails. Venture-backed startups build sleek interfaces for hypothetical perfect governments. Sterling is building for the messy reality of actual municipalities where the fire chief also handles building permits and the city clerk has been there for 30 years.

The timing makes sense. Federal infrastructure spending is pushing more money toward local governments just as baby boomer municipal employees retire in massive numbers. Towns like Nederland face a choice: invest in systems that capture institutional knowledge, or watch decades of experience walk out the door.

Sterling's dual role as founder and elected official gives her credibility that pure tech entrepreneurs lack. She's not theorizing about government efficiency. She's living with the consequences of bad systems every time her city council gets stuck debating decisions that should be straightforward.

If Sterling is right, the next wave of valuable AI companies won't be building general-purpose chatbots. They'll be solving specific institutional problems for markets that venture capitalists usually ignore. Municipal government isn't glamorous, but it's a $2 trillion market that touches every American's daily life.

Watch for AI companies led by people who actually understand the domains they're trying to automate. Sterling's advantage isn't her technical background. It's her lived experience with the institutional complexity that most AI tools treat as an afterthought.