Watch the full episode on our YouTube channel: youtube.com/@mreapodcast Lauren Lucas is back, and she is bringing the next wave of AI with her. Since her last visit, Lauren has taken 48 flights to teach real estate agents how to use AI in a real way. She is still running a real estate team closing around 300 deals a year, and she is still not a “tech person.” That is what makes this talk so good. We dig into AI agents: what they are, how they work, what they cost, and how we can start using them without getting buried in tech talk. Lauren breaks down how to build one agent for one job, like pulling market data, finding FSBOs and expired listings, drafting content, updating CRM gaps, or helping with tax prep. Lauren also gives us a clear warning. AI can do the work, but we still need to protect client data, guard our passwords, and keep a human in the loop. The real estate agents who learn this now will have a major edge. The real estate agents who ignore it may soon feel like they’re trying to work without a cell phone. Start small. Build one AI agent. Give it one clear task. Learn by doing. Resources: Follow Lauren Lucas on Instagram: @laurenlucas_reOrder the Millionaire Real Estate Agent Playbook | Volume 3 Connect with Jason: Linkedin Produced by NOVA This podcast is for general informational purposes only. The views, thoughts, and opinions of the guest represent those of the guest and not Keller Williams Realty, LLC and its affiliates, and should not be construed as financial, economic, legal, tax, or other advice. This podcast is provided without any warranty, or guarantee of its accuracy, completeness, timeliness, or results from using the information. WARNING! You must comply with the TCPA and any other federal, state or local laws, including for B2B calls and texts. Never call or text a number on any Do Not Call list, and do not use an autodialer or artificial voice or prerecorded messages without proper consent. Contact your attorney to ensure your compliance. Any text or materials generated by artificial intelligence (AI) should be reviewed for accuracy and reliability as there may be errors, omissions, or inaccuracies. The use of generative AI is subject to limitations, including the availability and quality of the training data used to train the AI model used. Users should exercise caution and independently verify any information or output generated by the AI system utilized and should apply their own judgment and critical thinking when interpreting and utilizing the outputs of generative AI.
