The Week AI Stopped Being a Helper and Started Doing the Job

By Tim, Julie, Dan, Chris, Kacie and Orlando · August 28, 2026

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One host built an entire virtual team — sales, admin, content, community management — for $100 a month, and it's already outperforming the humans it replaced. Another closed a $12 million listing off a single expired call that started because a lazy agent forgot to update the MLS. This week's episode covers the moment AI crossed from "helpful tool" to "actual employee," plus a stack of listener questions on pricing courage, open houses, and the marriage-straining reality of unpaid spousal transaction coordination.

Dan opened with a real number attached to his best week: a $12 million expired listing that came from an unglamorous source — a listing agent who never bothered to mark a sale closed in the MLS. "This has been happening more and more lately where listing agents... don't put when it closes in the system," Dan explained. When he called through his normal expired script, the "seller" turned out to be a builder who'd already bought the land three months earlier and was constructing a house on it.

Dan pivoted the conversation on the spot, set up meetings, and ended up listing several spec homes for the same builder — a relationship that could total $15–20 million once everything sells, worth roughly half a million dollars in commission off one call. Julie's read on why this matters right now: "The remaining part of this year — going into next year — expires are going to be the single best opportunity for agents to become listing agents," comparing it only to the aftermath of the 2007–2008 housing crash.

The centerpiece of the episode was Tim's discovery of Grokbot, a SpaceX-built AI platform he described as functioning at the level of artificial general intelligence. The setup: you create a "director of operations" — Tim named his Marvin — and give it plain-language instructions. Marvin then researched Tim and Julie's three businesses, built out entire sales and administrative teams of AI agents with human names and avatars, and now runs day-to-day operations that used to require a real staff.

The cost comparison stopped the room: "The payroll for something like this would be close to six figures a month. And now it's a hundred freaking bucks," Chris said. Unlimited usage tops out at $300 a month — flat, not per seat. Dan's technical detail mattered here too: each bot gets its own virtual computer and logs into your actual software — CRM, MLS, everything — without an API connection, which he called "the big game changer".

Tim gave a concrete example of Marvin already at work: fixing broken navigation and UX issues inside their Kajabi coaching platform without being told how, after the software company said the only fix was hiring a contractor. "Marvin's doing it for me. And he's doing it better than I would," Tim said. Tim also used Marvin to draft, post, and staff an entire community manager job for their Dorado Beach Insider project — the AI could handle everything in the job description except emulate three years of hands-on luxury real estate experience.

Chris and Dan translated the concept directly into agent workflows. Chris's example: an agent could tell their bot to scan the CRM for every contact missing a valid phone number or email, then research the best way to re-engage them — work that previously required hours of manual list-cleaning. Dan described feeding Google Earth images and interior photos into AI to generate a complete virtual tour, edited and scored with music, for free — a service agents currently pay $500 or more to outsource.

Chris's warning carried real urgency: "If agents are not embracing this and they're fearful of it, they're going to be eviscerated by the agents that can spin up all the marketing... while they're actually meeting with the seller". His broader point: agents spending 80% of their time on revenue-generating activities using this leverage will separate sharply from agents burning time on tasks AI can now absorb entirely — and the same shift threatens to make most CRM and marketing software as a service obsolete, since AI can simply build a custom tool for each agent's specific use case.

The show took a genuine detour into AI-driven longevity research — the panel discussed claims that emerging cell-aging-reversal therapies could be 36 to 60 months from real-world availability and could extend healthy lifespans by 20–30 years. Tim's practical challenge to the group wasn't really about biology — it was about business planning: "How much of your decisions day-to-day are based on... a certain longevity span?".

Julie's skepticism about mass adoption was the most grounded take: even with a younger body, "your software, your brain, how you think" doesn't automatically reset — meaning people would need to consciously recalibrate decades of built-in assumptions about time, retirement, and career pacing. Tim's closing thought ties back to the AI theme directly: if mental work doesn't require physical retirement and bots handle the "grunt work," the entire concept of retiring at 65 — a number invented when people were expected to die around 66 — may simply stop applying within 24 months.

"I split from my team six months ago and took no clients. What's the fastest path back to $20 million in production?" Julie's answer: rebuild center-of-influence and lead generation first, then run a focused 90-day sprint rather than fixating on an annual number — using the "10 Listings in 90 Days" framework available free through Libertas coaching.

"My open house produces nothing anymore. Is it the market or is it me?" Chris didn't soften this one: "It's you. Done. Next." His real point: every open house has three equal opportunities — the preparation beforehand, the event itself, and the follow-up after — and most agents only work the middle one.

"I have nine listings, six are stale. Do I have a pricing problem, a marketing problem, or a courage problem?" Dan's answer: the market has already told you it's a pricing problem, but getting the seller to act on it is a courage and language problem. His key tactical advice — never say "price drop" or "lower the price" to a seller. Instead: "The market is giving us feedback that we need to reposition the property". Chris's version: "The market's spoken. We can either keep doing what we're doing, which will every day diminish your chances of selling, or we can be proactive and adjust the price".

"My spouse does my transaction coordination for free and it's straining the marriage." Tim's answer was immediate: spin up a Grokbot, plug it into the CRM, delegate the TC work to it, and put your spouse into sales instead — because "you want as many rowers as you possibly can have and not riders".

Dan's cautionary tale: negotiating a seller down to $325,000 instead of pushing for the $299,000 price drop they'd actually offered — only to watch another agent sell the same house at $299,000 months later. His takeaway script, borrowed from Diana Kaskoska: "Mr. Seller, I appreciate that, but I'd rather turn you down now than let you down later".

Chris admitted to keeping underperforming team members far longer than he should have simply because firing them felt harder than absorbing the cost — a mistake he now says cost far more in time and energy than the difficult conversation would have. Julie's story hit closest to home: skipping a detailed CMA on a listing she thought she knew "like the back of her hand," pricing it at $359,000 instead of the correct $299,000, and watching it sit until a painful, overdue price cut finally moved it.

Tim's closing story was the most expensive lesson of the episode: early success led him and Julie to abandon proactive prospecting in favor of expensive branding and marketing at the urging of other "successful" agents at industry events — a shift that grew their unit count and dollar volume while quietly shrinking their net profit for nearly two years. "It took Julie and I revisiting what our original mission in real estate was... to right the ship," Tim said.

The thread connecting every segment of this episode is the same: leverage compounds for agents willing to adopt it early, and it compounds against everyone else. Whether it's an AI system running your entire back office for $100 a month, a pricing conversation you're avoiding out of fear, or marketing spend disguised as necessary that's quietly draining your net — the agents pulling ahead this fall are the ones making the uncomfortable call, the pricing adjustment, or the technology leap before their competitors do.

Watch the full episode here: https://youtu.be/9-E89bOTORs?si=ySWgpCxxJhuQzUAs

— Tim, Julie, Dan, Chris, Kacie and Orlando
Hosts, Power House Talk

whylibertas.com/harris
whylibertas.com/dan
whylibertas.com/heller
whylibertas.com/kacie-anderson
whylibertas.com/orlando-montiel

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