Documenting the operator adoption problem AI companies keep hitting—and why the obvious solutions don't work.
One month ago, half these tools didn't exist. I gave Claude the idea and specs. Built before my coffee cooled. Couch. Heat game on TV. Eyes wide. Speechless. This is Day One of building enterprise systems with AI.
Read full episodeWhen I started AVPMi, every prospect asked the same question. They weren't worried about the code breaking. They were worried about the business dying. AI is at that same stage right now.
Read full episodeA hospital hired me to fix their valet chaos. That wasn't the real problem. I fixed what they asked for—then walked the floor and saw what was actually killing them.
Read full episodeAnthropic dropped Opus 4.6. Genuinely impressive. But they're speaking IT, not business. You won on product. You're losing on communication.
Read full episodeIn 2004, I was a valet attendant using an automation system. The idea was good. The execution didn't match operational reality. I knew exactly where it failed because I lived it every shift. So I built a system that actually worked.
Read full episodeAI companies fight over 5% of the market—technical users who understand prompts, databases, deployment. Someone needs to solve for the other 95%. Business operators who know their operations better than any AI, but can't translate that knowledge into working systems.
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