I learned so much from our Zoom meeting last week. I may have skipped a beat, but I did get some valuable insights on leveraging AI in my daily workflow.
Instead of pasting a link, I clicked the star-shaped icon at the top of my browser to start a conversation with Gemini. I then asked it to prepare a Comparative Market Analysis (CMA) for a specific property and provided the necessary information.
Gemini's initial suggestion was to check the standard sources like Bright or the MLS. However, I suggested a more direct route: Notebook Access. “Good idea,” it replied, and on we went. This interaction showed me how the AI can adapt to my preferred tools, turning the CMA prep into a collaborative process. We were able to quickly pull some excellent comps.
The actual test came when I noticed a conflict. I was not getting the same results as my colleague, Praful Thakkar , for a key property metric (perhaps square footage or lot size). To resolve this, I asked Gemini to check public records.
While the AI was running the check, it started to bring back some pretty interesting facts that pointed toward the source of the discrepancy. This is the crucial takeaway: AI is a powerful cross-referencing tool. It doesn't replace the need for your final expertise. Still, it can accelerate the tedious process of digging into public data to verify the truth, ensuring my comps are rock-solid
The next step is to fully reconcile the public records data with the MLS data to finalize the CMA. Still, Gemini has already done the heavy lifting of the initial data validation.
Although I did not understand everything Praful taught, I did learn so much more than I knew before, and for this I am very Grateful. I still have so much to learn
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