When I speak to my colleagues in the real estate industry, people are asking the same question: Are you using AI?

What they should really be asking is how are you using AI?

Many leaders are still using AI simply as a chatbot. But we’ve moved beyond that into execution mode, and it’s happened fast. I’ve written about how AI will impact real estate as an industry and why we need to double down on the human side of our job.

I’ve also shared why you need to build the team before you can build the tech. You can’t outsource or automate the people part. This is your competitive edge.

At Nitschke, we use AI to automate the beige work, so our agents and PMs can focus on the clients and community.

Today, I want to share some of the ways we’re doing that.

AI in my agency

I’ve created an internal platform called Nitro Studio, named after my AI agent Nitro (a play on Nitschke). It’s evolving into a creation workflow space for my team, structured around their roles.

For the leadership team, I’ve been building out a suite of tools to run our meetings, manage the issues list, and keep everything connected. So, when I’m working on projects with Claude Code, I can easily add issues from meeting outcomes, capture ideas into the issues list, and get analysis on themes and duplicates.

More on my Issues List system here.

Whenever I’m in a meeting, whether that’s a one-on-one, an owner meeting, a department meeting, or a ‘same page’ meeting with our GM, we’re always meeting to solve issues or create action items for the next meeting. That pulse is what makes the system work.

I’ve also developed a tool I call Nitro Map. It maps out all of my AI agents and how they relate: What APIs they’re connected to, what tech is integrated, where the databases sit, what’s linked to memory, what’s linked to my journal file.

Then, I’ve got a massive projects list inside it. When I come up with an idea while journalling, driving, or walking, I capture it and send it to the Nitro Map backlog. From there I can leverage AI to make suggestions on what project I should look at next.

This has been important because the creativity side of coding and AI can make you feel limitless. You can trigger a thousand projects at once, but the key thing is implementing properly and actually finishing them.

In the beginning, I got overwhelmed and wasn’t sleeping well. Building infrastructure around it has helped me stay balanced and focus on projects that genuinely move the needle for my team.

Make experimenting with AI a daily part of your workflow as a leader.

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