AI for Real Estate

How AI Works — Real Estate Edition

AI capabilities and limitations explained through real estate examples. Context windows, lease abstraction, comp analysis, data privacy for tenant PII, and what to trust AI with.

You don't need to build the engine to manage the building

This module is not a computer science lecture. You will never need to train a model or write code.

What you need is a working mental model — an understanding of what AI can do with your lease documents, your appraisal reports, and your market data. And equally important, an understanding of where it will confidently give you wrong answers.

Think of AI the way you think about a new hire: capable, fast, and eager — but needing your direction, your context, and your review.

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Which is the best analogy for how you should think about AI in your real estate practice?