In episode 3, Patrick Ferry, Rob Talbot and Wally Malesh compare how they are using voice agents, deciding when paid AI tools earn their keep, and exploring local models. They share practical experiments, including Rob's birthday bot, Wally's price-reduction reports and listing-appointment research. Real Estate AI Nerds is a recurring conversation about what AI is actually changing in residential real estate. Patrick Ferry, Rob Talbot, Wally Malesh and Jerimiah Taylor compare notes on tools, experiments, workflows, failures, risks and practical plays—without pretending the technology is more mature than it is. IN THIS EPISODEPatrick Ferry — Host | Strategic Advisor, AI, Digital Authority & Real Estate InnovationRob Talbot — Business Builder & Systems Operator | Brokerage Leadership, Partnerships + Applied AIWally Malesh, MBA — Business Advisor & "Business Compounder" | Leadership, P&L, Systems + Scale CHAPTERS00:00 Welcome to episode 300:17 The ChatGPT voice commercial03:09 Voice agents that actually do the work06:32 From read-only to "just do it": earning AI's trust08:13 When a leader only has ChatGPT on his phone10:08 Wally's first demo: "Tell me about this property"11:39 AI as a "very articulate Google search"13:40 Anthropic's AI jobs report14:52 From listing books to AI17:27 The $20, $100 and $200 AI tool stack18:57 Earn your upgrade and measure the ROI19:35 Free vs. paid: memory and the second brain20:37 Open source, open weight and Chinese models21:57 Why the big brands still do the heavy lifting23:42 Upload speed and home AI26:54 Token costs and where compute is heading27:52 Running local models like Qwen328:51 Hermes Agent: give AI its own computer31:25 Everyday tasks vs. advanced reasoning33:15 Automate vs. augment36:19 Local models as an ownership strategy38:51 Use case: Rob's 30-minute birthday bot41:57 Use case: Wally's automated price-reduction reports46:22 Use case: auto-researching listing appointments47:25 Getting better vs. replacing yourself48:46 Wrap-up Want the tools, plays and conversations from Real Estate AI Nerds in your inbox? Join the flagship newsletter:https://patrick-ferry.kit.com/72a1cd74f8?utm_source=real_estate_ai_nerds&utm_medium=podcast&utm_campaign=launch This is an informal conversation about the panelists' experiences, opinions and perspectives, shared for education and discussion. Tools, features, pricing and availability change. Verify details before relying on them. Nothing here is legal, tax, privacy, compliance, financial or other professional advice; consult an appropriate professional for your situation. TECHNICAL NOTES19:35 — ChatGPT Free can include memory. Available memory features vary by plan, region, platform and settings.27:18 — The space-computing discussion is speculative. Spacecraft still require engineered heat rejection; cold space does not by itself establish lower operating costs.37:22 — Open-weight means trained model weights are available under their license. It does not necessarily mean all code or training data are open, or that safeguards are removed.37:53 — Local models can run on infrastructure you control. Whether information stays offline depends on the full setup, including connected tools, syncing and hosting; local does not automatically mean isolated or secure.Sources:https://help.openai.com/en/articles/8590148-memory-in-chatgpthttps://help.openai.com/en/articles/11870455-openai-open-weight-models-gpt-osshttps://www.nasa.gov/smallsat-institute/sst-soa/thermal-control/
