The restaurant that didn’t need an app
Nobody downloads a restaurant’s app. Regulars text the order and it prints at the rail. No AI in that one. Advice, not a build.
Both are true. What closes the gap is below.
The ceiling camera, counting the floor. Nobody with a clipboard.
Body shop
Two photos, before and after. It finds what got pushed in, and how far.

BeforeAfterDrag the circle. Tap a number.
a line every 3 in of depthpushed in123+ in
4 of 8 parts damaged, deepest push-in 2.6 in. The estimate writes itself, in inches, not “looks bad.”
Warehouse
The ceiling camera was watching every one. Now it logs each time a person gets within three meters of a moving forklift.

Restaurant
One camera over the line. Who’s at each station, and for how long, all night.

Greenhouse
The camera over it names every plant and reads the soil underneath. This is the live feed.

Pool builder
One photo of the yard becomes the ground in 3D. Where the pool sits flattest, the fall, the dirt to move. Before anyone drives.

The dog
One phone video. The yard in 3D, his path through it, and how fast he was going.

Why it couldn’t remember
It’s a brilliant stranger. It starts from zero every time, so you explain the business again and catch what it got wrong. Everything above already knows the business.
If your whole business fits in a chat window, keep ChatGPT and don’t pay me.
And the stuff with no camera
Nobody downloads a restaurant’s app. Regulars text the order and it prints at the rail. No AI in that one. Advice, not a build.
Your texts and photos from the day already are the daily log. It writes what you’d have typed at 6:50 pm. You check it.
Roster, task board, last month’s numbers. Someone asks, the answer comes back from your files, with where it came from.
Thirty minutes on something you actually do. What it’s good at, where it fails, how it gets used against you. Free for family businesses.
Book the free sessionI study how people actually use AI and where it breaks. Read the research.