From Vibe Coding to Deal Intelligence: How One LA Broker is Quietly Building a Tech Edge

The barrier between “having an idea” and “having a working tool” has essentially collapsed. Most commercial real estate brokers haven’t noticed yet. Jim Klein has.

Klein, an industrial real estate specialist in the Los Angeles market and a seasoned SIOR member, has spent the past stretch of time doing something most brokers his caliber rarely do: building his own technology stack. Not by hiring developers. Not by purchasing enterprise PropTech subscriptions. By sitting down with AI tools and describing, in plain English, exactly what he needs and watching functional software materialize in response.

It’s a practice gaining traction in tech circles under the name vibe coding, and it may be one of the most underappreciated skill sets a commercial broker can develop right now.

The Broker-Builder

There’s a new archetype emerging in commercial real estate. Not a technologist. Not a software entrepreneur. Just a seasoned practitioner who got curious, leaned in, and discovered that building useful tools no longer requires knowing how to code.

Vibe coding works exactly the way it sounds. You describe what you want to an AI. The AI writes the code. You refine it through conversation. You deploy it. The “coding language,” as Jim puts it, is basic English and that’s precisely what makes it accessible to anyone willing to try.

He offers one honest caveat worth passing along: having someone with a programming background nearby during those early sessions helps clear the initial hurdles. The fundamentals of how scripts connect to platforms and APIs aren’t always intuitive the first time. But once you’re past that threshold, the playing field levels quickly and the possibilities expand fast.

Two Platforms, Two Distinct Superpowers

What makes Jim’s approach particularly instructive isn’t just that he’s using AI. It’s how deliberately he’s matched the right tool to the right job. He’s built a two-platform intelligence system, each one purpose-designed for a different dimension of his business.

Gemini: The Market Radar

Jim has configured Google’s Gemini as a live intelligence feed for the industrial sector. Every day, it pulls news from sources around the globe, publications and Google Alerts he’s personally curated, and filters everything through a custom keyword ranking system. Words like expansion, growth, layoffs, WARN notice, and default trigger prioritization, automatically surfacing the stories most likely to signal a leasing event, a distress opportunity, or a tenant in motion before the broader market catches on.

What elevates this beyond a standard news aggregator is the Google Maps API integration. Every story arrives with precise location data attached. A logistics company announcing expansion in the Inland Empire isn’t just a headline. It’s a pin on a map, a radius search waiting to happen, a prospecting call that can be made before a competitor has even seen the news.

The infrastructure behind all of this? Google Workspace. Gmail. Sheets. Calendar. Docs. Tools every broker already has open on their desktop every day. What Jim discovered, and what most brokers haven’t yet, is that every one of these tools has script extensions that can be unlocked through AI-generated code. You describe what you want. The AI writes the script. When something breaks, it debugs itself.

The entire workflow is built on tools you already pay for. The only new ingredient is knowing to ask.

Claude: The Market Intelligence Engine

The second platform in Jim’s stack is Anthropic’s Claude, and here the application shifts from market surveillance to deep market knowledge.

Jim has loaded Claude with Los Angeles parcel data and market comparables, effectively transforming it into a conversational database that would have required a dedicated GIS analyst to replicate just a few years ago. From anywhere, including the field, he can ask:

• “Who are the closest building owners within 1,000 feet of this address?”
• “How does our listing compare to everything available within a one-mile radius?”
• “Who owns 123 Main Street?”

Answers come back in seconds, often with maps generated on the fly. And this is just the beginning. CRM data integration is next on Jim’s roadmap, meaning contact history, deal activity, and relationship context will soon layer directly on top of the parcel and market intelligence already in place.

This is what a true deal intelligence platform looks like when it’s built by someone who actually understands their market, not by a software company making educated guesses about what brokers need.

The Question Every Broker Should Be Asking

Jim frames the real challenge with characteristic directness:

“How are you making more deals with AI?”

Not “Are you using AI?” By now, almost everyone can check that box in some form. The sharper question is whether AI is actually changing your deal count, your deal quality, or your competitive position. That requires a different level of intentionality than having a ChatGPT account you open occasionally.

Jim’s framework offers a useful benchmark. His AI stack is:

• Proactive, not reactive. It surfaces opportunities before he goes looking for them.
• Location-aware. Every piece of intelligence is anchored to geography.
• Integrated. Tools communicate across platforms he already uses daily.
• Field-ready. It works when he’s standing in front of a building, not just when he’s back at his desk.

That’s not a technology experiment. That’s a competitive infrastructure.

The Window Is Open, But Not Forever

The early adoption advantage in AI-powered brokerage workflows is available right now. But windows like this don’t stay open indefinitely. The brokers who will look back on this moment as a turning point are the ones treating AI not as a novelty, but as infrastructure to build on. Quietly. Deliberately. Deal by deal.

Jim Klein’s example makes one thing clear: you don’t have to wait for a PropTech company to package this into a product. You don’t need to hire a developer. You need curiosity, a willingness to experiment, and maybe one person nearby who’s been around code before.

The rest, it turns out, you can figure out in plain English.

Jim Klein, SIOR, is a commercial real estate broker specializing in the industrial market in Los Angeles. His work in AI-integrated market intelligence reflects a growing movement among top practitioners applying practical technology to generate measurable business results.