I'm curious, if others are in a similar position as I am. As AI continues to advance and as a first-time investor looking to purchase a long term rental, I'm curious what tools folks use to help improve their investing journey? I am working on building my own GPT for analyzing properties, but I'm curious if there's other ways others have leverage AI.
Somewhat agree with Tim - especially for rental properties. LLMs like ChatGPT can help streamline education and underwrite deals, but rental properties are fairly simple. AI is extremely helpful for operators - those actively running a wholesaling, flipping, or multiple property portfolio business.
AI can be helpful, but it’s fraught with errors. I would not rely on it. If you’re going to use AI, you should be a seasoned investor because you have to drill down to finally get correct answers.
I have tested it with existing rental properties and eventually I got an answer close to being accurate, but it took drilling down and without having experience I don’t think I would have gotten the correct answer.
It was incorrect on ARV, rental values and whether it would cash flow correctly. If I had relied on the information for an investment it would have been a negative cash flow deal and other issues.
It can be a helpful tool, but I would not rely on it 100% without verifying the facts.
I'm curious, if others are in a similar position as I am. As AI continues to advance and as a first-time investor looking to purchase a long term rental, I'm curious what tools folks use to help improve their investing journey? I am working on building my own GPT for analyzing properties, but I'm curious if there's other ways others have leverage AI.
Thanks in advance!
AI is only as good as the questions and then it is suspect. I have a client trying to solve a problem on his own using AI and the answer would get him sued. AI doesn't know what it doesn't know.
@Danielle Torres — AI is great for tightening your underwriting and saving time, but it shouldn’t replace real-world validation. I’d use it to stress-test every deal by running higher vacancy (8–10%), higher maintenance (10–15%), and realistic capex assumptions to see if it still cash flows, and to model refi scenarios with today’s rates so you’re not banking on rate drops. You can also feed it rent comps from Zillow, Redfin, and Rentometer and have it summarize true rent ranges and days on market, then compare that to actual leased listings, not just asking rents. Where it really helps is organizing data — pulling census population trends, job growth, school ratings, and crime stats into one clear snapshot — but you still need to call 2–3 local property managers to confirm real rents and tenant quality. If you build your own GPT, make it conservative by default and have it flag thin margins automatically; that alone will save you from buying bad deals.