What I’m thinking about: The decision I’d already made and hadn’t admitted…enterprise AI implementation is now the primary business, and the land side runs on skeleton operations, by design.
Two people I trust told me, a week apart and unprompted, that I’d already made this decision.
As of this week, Serious AI Partners (seriousai.partners, live as of Saturday) is where my day-to-day attention goes. Serious Land Capital keeps funding deals and keeps the brand, on far less of my time.
The thesis behind everything I’ve written here hasn’t moved an inch. Value keeps migrating away from whatever AI can copy and toward what it can’t…and what it can’t print is staked accountability, somebody who examined the answer and owns the outcome.
Land is one answer to that question, but it isn’t the only one.
Highest and best use
We already know how to do land deals. That’s a forever strategy, and difficult market conditions don’t last forever…we’ll keep picking our spots (with deal review boxed to one afternoon a week).
The reason for the shift is the highest and best use of my time, and how fast the frontier is moving underneath all of us. Right now a day is worth a week (or more) if you’re moving fast enough, and every day spent splitting attention between two businesses was a day of that lead quietly evaporating.
The clearest example is the SLC Deal Engine. Getting it to a workable point required full days of my attention, week after week, for a limited commercial payoff against the opportunity cost of having full focus on enterprise AI (there’s a reason nobody has fully solved national land underwriting, even with bleeding edge AI tools).
The Deal Engine now shifts to an internal tool, no longer in active development, running our own weekly reviews and doubling as the best demo I have of what intelligently-designed AI workflows can do.
What made the decision easy is what the Deal Engine build did for me. The past ~4 weeks on the engine compressed ~5 years of development expertise in a pre-Claude Code world, to the point that I now style myself as an AI workflow engineer / fractional CTO (backed by my 10+ years directing engineering teams).
And ~$100K into Land Pricer before the tools were ready, then this Deal Engine build on top of it…that tuition is the ENTIRE basis of the new business, paid in full before I comprehended what it was buying.
You only get one life to place certain bets, and everything I’ve done in my professional career so far was in preparation for this one.
What ~500 people confirmed
Last Wednesday I walked ~500 operators inside Callan Faulkner’s Uncommon Business community through the full Deal Engine build, live. The three promises set up front (use AI only where a decision is needed, make your rules stick with automatic stops when a step gets skipped, and catch mistakes before they reach a customer by always checking the AI’s work) turned out to be the offer, before the offer had a name.
What landed hardest wasn’t the land pricing. It was the mechanics…such as zero tokens on website reads because the navigation is code rather than prompts, recording myself doing a process and having Claude build it into software, or hundreds of grading passes at 100% where a single failure is a bug.
Enthusiasm for the software itself was more muted (that’s the natural response to anything that’s on the cutting edge and seems too good to be true). Enthusiasm for HOW it got built was not.
One attendee took the 40,000 word build document I gave away, pointed Claude Code at them overnight, and had it rewrite her own audit processes before I’d spoken to her again.
That’s the whole model of the new business, working without me in the room.
Two reads I didn’t ask for
Andrew Li, a longtime friend and one of the sharpest business-minds I know, said it first on a call the week before the presentation…”I’ve been waiting for you to make the decision to say, ‘Hey, I’m going to consult into business building.’” His follow-up was that my blind spot wouldn’t be capability, it would be which markets I fish in.
Justin Martin, one of the smartest engineers and AI builders I know, texted me the morning after the session without knowing about Andrew’s call: “The move is, I believe, the enterprise consultant play.”
Hearing the same conclusion twice in a week, from two people with no monetary incentive to say it, forced me to stop treating this as a side project. Hormozi’s line has stuck with me: “The biggest trait that differentiates a good CEO from a great CEO is the speed at which they can make good decisions.” Once it was clear, there was no reason to keep dilly-dallying on both sides.
If you’re here for the land and real estate insights
Some of this may not be for you, and that’s fine…I certainly won’t begrudge anyone (though I don’t think much of this comes as a surprise, given how much the content and positioning of this newsletter has trended toward AI, almost since the inception).
But the core of what has made this newsletter so popular (don’t take my word for it ) will remain intact: the good, the bad, and the ugly of my continued professional journey, and the lessons applicable to you, backed by data, vulnerability, and hard truths.
The first AI enterprise conversation is on the calendar for the morning this issue lands. We are on the cusp of the greatest technological (and societal) evolution in the history of humanity IMO, and time is of the essence.
Most AI consultants have never had a dollar at risk. Not one. I built my judgment in a business where being wrong cost me money, and I price the same way for enterprise implementations. Serious means underwritten, and that doesn’t change with the business card.
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If you own the P&L for a process AI was supposed to fix and didn’t, the diagnosis comes before any build…because the most expensive mistake in this work is automating something that was never the bottleneck. Everything about how that works now lives at seriousai.partners.