AI & Thermometers

AI, Personal | 0 comments

I have a number of Thermopro thermometers at the office and at my house. They are accurate thermometers with Bluetooth and no Wifi — exactly what I wanted.

Until an HVAC issue at the office left me desiring to know the temperature there, even when I wasn’t.

In the olden days I might have Googled around a bit to see if someone had written an app to do what I wanted (read the Bluetooth and show it as a webpage) but in the golden age of 2026 I just asked Claude if a python library existed to read them.

Yes.

Great, now could it please build out a dashboard?

Yes.

It worked so fast and so perfectly that I had a second version built out at home with some basic alarms, so I can get a heads up if I’ve got fridge or HVAC problems at the house. It runs on an old but working Raspberry Pi.

Total time investment, ~15 minutes across both projects combined.

Thermometer readings for three locations: Bedroom at 72.0°F and 51% humidity, Fridge at 38.3°F and 17% humidity, Main at 72.3°F and 50% humidity. A graph shows temperature and humidity trends over 24 hours, with Bedroom and Main temperatures stable around 70°F, and Fridge temperature around 40°F.

So What?

To some degree (heh), there is no so what, there isn’t anything particularly special about this in and of itself.

Except anyone could have done it.

Sure, I had head start simply by knowing that things such as Bluetooth libraries for python exist, but there wasn’t anything particularly technical that I did. I knew what I wanted and asked Claude to build it. And it did.

I think that this is — in part — the future of software development. Where non-technical people are able to describe a thing that they wished existed, and AI will create it. It doesn’t need to be fancy SaaS software or even for more than a single purpose. No one else will ever have need of this application.

But if they did, they can now build their own, probably faster than even downloading and setting up my copy. “Hey Claude, build this.”

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