Result
self-reportedA non-coding CEO built his own kitchen design software with Claude Code over 4.5 months. The tool his industry uses costs $6,600 up front plus $1,850 a year per seat. On air he designed a whole kitchen in about five minutes.
Randy Lorensen runs Premium Cabinets (30-plus locations). He’d never opened Claude Code, but he built TurnKey Cabinet Design alone on two Claude Max plans. A five-minute prompt on a Sunday night ran for three days and came back with a working version. He says the edge cases after that were 99% of the work. The software lays out cabinets using real manufacturer SKUs, with pricing and a parts list, and a bug button sends his spoken reports straight to the coding agents. He showed it on The Practical AI Show, Ep 61.
Who did it
Try it now
- Add up what your industry software costs you: up-front price, yearly fee per seat, training days and the hardware it needs.
- Write a plain-English spec of the result you want, e.g. ‘someone who has never designed a kitchen can do it without mistakes.’ Describe the result, not the code.
- Give that spec to Claude Code, let it build a first version, and expect the edge cases to take most of the time.
- Add a ‘report a bug’ button so you and your team can send problems straight back to the build, and test it in-house before you sell it.
I run [business] and we pay [$X up front + $Y/year per seat] for [software] to do [job]. I don’t code. Help me write a one-page spec for a simpler tool that lets [who] do [job] without mistakes. List the screens, the questions the tool asks, the data it needs (e.g. our product catalog with SKUs and prices) and what it outputs (e.g. a layout plus a parts list). Then list the 10 edge cases most likely to break it. Don’t write code yet.
Make it run every week
A play works once. Turn it into a routine in three small steps:
- Run it once and check the result yourself.
- Give your AI a schedule. Tell it when to run this play (every week, or every month) and to message you with what it found before you act.
- Keep a log. One line per run: what was checked, anything flagged, what you did.
What to watch out for
Told on air. It’s a 4.5-month build with Claude agents running around the clock, so it isn’t a weekend project, and TurnKey is still in beta. Disclosure: Practical AI is hosted by Olga Pearson (who runs AI Business Plays) and Chris Pearson (who builds PageMotor). Build it with Page: a product page and waitlist for the tool you build.
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