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Buying without a traditional agent: what an Inman reporter learned using AI

Inman reporter Taylor Anderson documented buying a home with an inactive license and ChatGPT as a strategic sounding board, while still relying on contracts, inspections, and MLS-level pricing judgment.

· Original reporting: Inman

Can a chatbot replace a real estate agent? An Inman reporter tested that question in practice while trying to buy a family home in the Salt Lake City area.

Taylor Anderson described spending months pursuing a purchase without using a Realtor, while holding an inactive Utah sales license and using ChatGPT throughout the process.

The story is useful for condo buyers because it separates document discipline and negotiation timing from hype about fully automated home purchases.

Off-market opportunity and timeline pressure

Anderson wrote that a neighbor agreed to show her home before listing it on the MLS after an email introduction.

The family had sold and rented in their target neighborhood, creating a June 1 deadline tied to a lease expiration.

That combination, off-market access plus a hard move date, is where due diligence shortcuts become expensive.

Competing in a fast market without representation

Anderson reported calling listing agents within a minute of new MLS posts in a market she compared to the COVID-era frenzy.

She made four offers, some above asking, before realizing unrepresented buyers were often seen as riskier to sellers and listing agents.

Sellers sometimes agreed to more compensation when the buyer was unrepresented, which changed the math Anderson had assumed would help her win.

How ChatGPT was used

Anderson used ChatGPT to workshop emails and texts, think through timing, financing structures, appraisal risk, and possession dates.

The tool analyzed rate sheets and helped sequence a move across the street with two young children.

She wrote that the bot often advised patience when she wanted to push harder for answers, which mattered in a delicate neighbor sale.

What AI did not do

Anderson said she did not trust the bot to analyze pricing because it lacked reliable MLS-level data.

She still evaluated risk, coordinated timelines, read contracts, and made judgment calls with real financial consequences.

The seller accepted their offer after a clean inspection and direct coordination on possession timing.

Lessons for condo buyers using online tools

AI can help draft questions and organize a checklist, but it does not replace HOA document review, reserve studies, or insurance renewals on a specific building.

Listing payments and chatbot summaries skip the association budget line that often defines affordability in condos.

If you use AI for email drafts or scenario planning, anchor every number to primary sources: resale packets, county tax offices, and insurer quotes.

Anderson closed on the home and wrote from the new house. The process still required human trust, inspection contingencies, and clear contract language.

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