1:23:43

In this video, real‑estate professional Scott Selleck demonstrates a step‑by‑step workflow that uses Claude Cowork together with a suite of real‑estate data sources (NJMLS/Matrix, Realist, RPR, FEMA, Zillow, CoreLogic, NFIP, etc.) to produce a comprehensive comparative market analysis (CMA) and client presentation for a Fair Lawn, NJ property (42‑08 Rosgrove Court). He first gathers grounded MLS documents, seller disclosures, floor plans, flood maps, and tax records, then uploads them to Claude. Claude reads the files, pulls additional data from online sources (Zillow, FEMA flood risk, RPR valuation models), cross‑references flood‑zone impacts, calculates insurance costs, and iteratively refines the analysis across three versions. The AI adjusts price recommendations based on flood‑zone discounts (5‑8%), absorption rates, sold‑to‑list ratios, and market speed, producing offer strategies ranging from serious to aggressive with escalation clauses. Scott then uses Claude to generate a polished PDF report and a 20‑slide Gamma presentation for the buyer client, highlighting the value of AI‑augmented research, the importance of using accurate MLS data over generic Zillow estimates, and the strategic advantage for buyers in a tight market. The video showcases how AI agents can act as research partners, ensuring data‑driven, risk‑aware recommendations while saving time for the realtor.

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