An operator analysis of home valuation, pricing, and the AI tools reshaping them. Named tools, covered fairly, with the figures sourced and the blind spots stated, including our own.
Most tools give you a number to the dollar and hide how much they know. An honest valuation does the opposite: a visible range that widens where the data is thin. Here is the standard.
Read more →Four ways to put a number on a home, the AVM, the CMA, the reasoned valuation, and the appraisal, each answering a different question, each with a built-in blind spot. Here is what each one is for.
Read more →An automated valuation model prices a home from public records and comparable sales. It looks accurate on listed homes and quietly fails on off-market ones, condition, luxury, and thin-data markets. Here is how it works and where it breaks.
Read more →Judge an AI valuation tool by whether it shows its reasoning, shows an honest range, and admits what it cannot see, not by how confident the number looks. A black-box number is the one to trust least. Here are the tests.
Read more →AI has widened the data a valuation can use and sped up the work. The core method is the same one AVMs have used for years, and much of what is sold as new is the old model with a new label. Here is the line between signal and noise.
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