I let AI build a tool to help me figure out what was waking me up at night

This reminds me of a weird story...

I went to work at a BBB office once. They turned all their computers off at night and every morning they were back on. It was just "normal" for them.

I can't even remember what problem I was troubleshooting. At the time I was working on IVR systems.

Anwayz, I was working late in their office. Everyone had turned off their computers and went home. At exactly Midnight, every computer in the office turned back on.

I walked around the office looking at desks wondering what had happened. On one persons desk was an alarm clock with a very quiet alarm buzzing. I checked the clock and it was set for midnight (probably a default). About two minutes later it turned off automatically.

I turned off computers and re-set the alarm to go off a few minutes later.

When that alarm clock went off it somehow caused either draw or feedback in the wiring that caused all the computers to turn back on. At the time I wondered if it had something to do with wake on lan.

In any case, I suggested that person take their alarm clock home.

Related project I did in 2014 tried to do this. I was a web developer so used the web audio APIs to trigger a recording when the decibel level exceeded a certain value. I was living in a big tent in my friends back yard in Sydney at the time and was convinced it was airplanes coming into SYD that were waking me up at 4am but never really captured conclusive evidence because my laptop battery couldn't make it through the night :)

I was under the impression that the pattern "I have a problem -> let's ask AI" is frowned upon here.

That CO2 concentration looks unhealthy, I wonder to what extent it's affecting your sleep quality (as opposed to waking you up).

> Measure before you fix

In my case, I got a few IKEA CO2 sensors, and after leaving them in the bedrooms for a few days, we found that leaving an outside window slightly open + the bedroom door open, kept the CO2 levels below 600PPM at night.

We're 1000ft/300m away from a motorway, but fortunately the noise pollution isn't bad. So ventilating (even as it's getting cold) turned out to be a simple fix. I hadn't thought of collecting sleep data from our devices, but maybe I'll get an AI to do that, so I can correlate our sleep quality with the environment.

it could also be common sense.. you live in a noisy city and you are wondering what the noise is.... maybe it could be the city itself? how about sleep in a different smaller town and then ask yourself the same question, you'll probably get a different answer.