Show Notes
Every animal on earth runs on four drives. Humans have a fifth. The question is whether AI feeds it or buries it under a pile of chat windows.
That is the cold open Ryan Estes is bringing to a Denver AI panel next Wednesday, and it is why this week's What It Do with Jason Katz, co-founder of Kindling Solutions, is bigger than a build in public check in.
Ryan walks through his whole panel hosting playbook live, and the metaphor is a DJ booth. Five panelists are five tracks. You mix them, you watch the room. You know when to loop somebody's best point and when to bring the fader down on a rambler. Jason's contribution: a bullhorn. One short honk to underline a great answer, three seconds to shut somebody up.
Then Jason pushes back on the hook itself, the most useful sixty seconds in the episode. "Divine" is ambiguous, he says, and worse, it is divisive. Rewrite it as "does AI make us more or less human" and everyone in that room can answer it. Ryan takes the note on the spot.
The heart of the episode is Jason's field report from two CEO meetings in one week, both at different places on the AI maturity curve. One has visionary leadership, sharp balance sheet instincts, and almost nothing underneath it operationally. The systems audit came back empty. The other has already built impressive end to end AI systems and has the opposite problem: a pile of tools with no shared brain, and a CEO asking how to fuse them into one operating system.
Jason's read is that everyone lands in the same place. Every company will run on a custom operating system with AI inside it, and the spread between companies right now is the widest it will ever be. That spread is the entire market.
Then Ryan drops the question he asks every guest: what AI automation would you be lost without? The answer is almost always the morning brief, the thing that reads your Slack, calls, calendar, and inbox and hands you five lines with your coffee. Jason's caveat matters. The brief is a beautiful entry point and also the ceiling for any company that has not fixed its operational leadership first. Without executive buy in, you are delivering a nicer looking version of the same chaos.
From there: model routing, tokenomics, compliance, and the quiet fear that frontier labs will eat the tools built on top of them. Ryan uses Claude for Teachers as the case study. Jason's answer is not to defend the model layer. It is to own the layer nobody can copy. Code is democratized. Anyone can build a thing. The value is understanding the engine: workflows, business logic, and how they connect to strategy. That understanding is the moat.
The best structural insight of the episode: an IT department is three buckets. Services, meaning hardware, permissions, users, servers. Data, meaning governance, security, and a model anyone can query. And applications, meaning custom software. In 2021, bucket three meant six months from "we need a thing" to a signed proposal, and up to five hundred thousand dollars for an iPhone app. That timeline collapsed to nearly zero. The reason IT owned it did not. As Jason puts it, three years ago your guy running Claude Code would never have been near building your company's software. He is building it now. Governance did not stop mattering because the build got fast.
Kindling Solutions - https://kindlingsolutions.com Jason Katz on LinkedIn - https://www.linkedin.com/in/jasonkatz99/
https://www.linkedin.com/in/estesryan/
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