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 EPISODE
Patrick Ferry — Host | Strategic Advisor, AI, Digital Authority & Real Estate Innovation
Rob Talbot — Business Builder & Systems Operator | Brokerage Leadership, Partnerships + Applied AI
Wally Malesh, MBA — Business Advisor & "Business Compounder" | Leadership, P&L, Systems + Scale

CHAPTERS
00:00 Welcome to episode 3
00:17 The ChatGPT voice commercial
03:09 Voice agents that actually do the work
06:32 From read-only to "just do it": earning AI's trust
08:13 When a leader only has ChatGPT on his phone
10:08 Wally's first demo: "Tell me about this property"
11:39 AI as a "very articulate Google search"
13:40 Anthropic's AI jobs report
14:52 From listing books to AI
17:27 The $20, $100 and $200 AI tool stack
18:57 Earn your upgrade and measure the ROI
19:35 Free vs. paid: memory and the second brain
20:37 Open source, open weight and Chinese models
21:57 Why the big brands still do the heavy lifting
23:42 Upload speed and home AI
26:54 Token costs and where compute is heading
27:52 Running local models like Qwen3
28:51 Hermes Agent: give AI its own computer
31:25 Everyday tasks vs. advanced reasoning
33:15 Automate vs. augment
36:19 Local models as an ownership strategy
38:51 Use case: Rob's 30-minute birthday bot
41:57 Use case: Wally's automated price-reduction reports
46:22 Use case: auto-researching listing appointments
47:25 Getting better vs. replacing yourself
48:46 Wrap-up

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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 NOTES
19:35 — 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-chatgpt
https://help.openai.com/en/articles/11870455-openai-open-weight-models-gpt-oss
https://www.nasa.gov/smallsat-institute/sst-soa/thermal-control/

IN THIS EPISODE

Patrick Ferry — Host | Strategic Advisor, AI, Digital Authority & Real Estate Innovation
Rob Talbot — Business Builder & Systems Operator | Brokerage Leadership, Partnerships + Applied AI
Jerimiah Taylor — CEO & Co-Founder, BrokerBot | Real Estate Technology, Brokerage AI + Compliance

CHAPTERS

00:00 Welcome to Real Estate AI Nerds
01:01 What AI power users actually spend
02:38 OpenClaw, Hermes and the first disagreement
03:33 Stop putting AI in “coach mode”
06:26 Rob’s current AI stack
09:10 Jerimiah’s current AI stack
11:40 Casual users vs. power users
15:00 AI can help you build the wrong thing faster
17:11 Stop asking AI to agree with you
19:49 The “Jarvis” test
21:00 Distribution still beats building
22:25 What an AI harness really is
26:49 AI as the first assistant
28:45 Email, text, calendar and the dry-cleaning example
30:13 Personal wins from the week
32:06 Wrap-up

Opinions are the panelists’ own. Nothing here is legal, tax, privacy, compliance, financial or other professional advice. Verify material claims and consult the appropriate professional.

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

IN THIS EPISODE

Patrick Ferry — Host | Strategic Advisor, AI, Digital Authority & Real Estate Innovation
Wally Malesh, MBA — Business Advisor & “Business Compounder” | Leadership, P&L, Systems + Scale
Rob Talbot — Business Builder & Systems Operator | Brokerage Leadership, Partnerships + Applied AI
Jerimiah Taylor — CEO & Co-Founder, BrokerBot | Real Estate Technology, Brokerage AI + Compliance

CHAPTERS

00:00 Meet the panel
00:58 The AI divide: casual dabblers vs. power users
01:21 “AI is not the enemy — it’s just a tool”
04:02 Why most small businesses are ill-equipped for AI
04:58 Inside a $400M “AI-native company” retreat
06:52 Crawl, walk, run: AI adoption for small business owners
07:57 Pick one admin task to automate first
15:56 “Bolt your life to AI”: the assistant mindset
18:16 The one thing you should never let AI touch
22:23 Managing AI subscription costs across models
30:01 Data privacy and retention risks
32:49 The MLS data-scraping cautionary tale
34:19 Final thoughts: AI’s biggest opportunity and risk

Opinions are the panelists’ own. Nothing here is legal, tax, privacy, compliance, financial or other professional advice. Verify material claims and consult the appropriate professional.

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