May 4th, 2026
In the Spotlight: Jason Walls of ChargeRight
May the 4th be with you, friends. Logan here. I hope you had a wonderful Derby weekend! Quick injury update for those of you that have checked in on me: I had a successful tendon repair surgery 10 days ago and I am on the road to recovery. All considering, I’m doing great. And excited to bring you all a unique episode today!
This week, I sat down with Jason Walls, founder of ChargeRight, to talk about how a 15-year union electrician with no coding experience built an AI tool that's caught Mark Cuban's eye.
Jason's story started about exactly a year ago - coincidentally around Derby - when he tried to use AI to model horse racing superfectas. It didn't make him any money, but it taught him that an AI could actually be guided. From there he started automating job site paperwork, and then he turned his attention to a problem he'd been watching for years on jobs across Kentucky: homeowners getting quoted thousands of dollars for unnecessary electrical panel upgrades when they bought EV chargers.
ChargeRight is his answer. For $12.99, the app runs the NEC 220.82 calculation a licensed electrician would run, asks you about your driving habits and home setup, and tells you whether you actually need a panel upgrade or just a properly sized breaker. It brings transparency to the consumer. As Jason put it on the show: "We can do the same calculation four different ways, and two of them require a panel upgrade. If I'm your electrician, I can just tell you the one that says you need an upgrade - I did the math that benefited me."
That's the thesis of the whole company. And the kicker is, he built it himself - using Claude, mapping every unfamiliar coding concept (repos, branches, merges) onto things he already understood (motor control circuits, smart switches, parallel vs. series wiring). When a post about all this got reshared by Mark Cuban, it hit 800,000+ views, and Anthropic reached out to hear more about how he did it.
Jason's still going to work every morning, still pulling wire. He's not trying to raise venture capital. He's just trying to give homeowners the math up front and spend more time with his kids.
What We Discussed
Domain expertise is the new build advantage - Jason couldn't write code, but he could read the NEC handbook in his sleep. AI gives deep-domain non-coders the ability to ship software actually grounded in real knowledge.
Why the "trades flood" narrative is overstated - The popular AI-era prediction is that displaced white-collar workers will flood into the trades. Jason's not seeing it on the ground (yet) - and his sharper point is that becoming a licensed electrician is gatekept the same way developers gatekeep their craft.
Robots are coming for the trades - eventually - Jason's measured take cuts through both extremes. Yes, a robot could probably bend pipe better than a human. But cost over efficiency means electricians have a meaningful runway before it actually matters in the field - and the trades probably hold up longer than the "AI takes everything" narrative suggests.
AI as a transparency layer, not a replacement - Jason calls ChargeRight "show and tell." He's not doing new math. He's exposing the math licensed electricians have always done behind closed doors. It's a useful frame for any expert thinking about how AI is going to change their relationship with their customers.
We hope you enjoy this episode! If you have any thoughts after listening, feel free to shoot me a message at [email protected]
Have a great week, friends!
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