I get it, wanting to do it right and understand what you are doing. I've 
worked as a metrologist, which has informed a lot of my interest in 
instrumentation, data collection, and data sharing.

At this point in life, it's a time thing for me: investing the time to get 
really good at coding and working with repos and containers is something I 
just don't have the bandwidth for. It's not a lack of interest, but the 
time for me to do those sorts of things easily was about 30 years ago, lol. 
So the AI provides not just a convenience but really the only realistic way 
for me to accomplish my goal in a reasonable time.

I have all sorts of reservations about AI. It has its places, its use 
cases. For me, this is was an acceptable use case: no one's life should be 
in danger, and it provides consistent, reliable data. It's sloppy, but 
probably way more functional than anything I could have gotten going any 
time this year.

It's a starting point. Hopefully it can be made better from there.
On Thursday, May 21, 2026 at 11:06:34 AM UTC-4 Vince Skahan wrote:

> Interesting but risky. Having done this kind of stuff for so long my 
> continued fear is minimally functional unsupportable garbage. It gave you a 
> working solution ‘as a starting point’ which is fine but ‘shipping the 
> prototype’ rarely ends well. 
>
> And 100% of what it told you was fiction. You”ll not learn best practices 
> not spot security or privacy holes, nor learn what good even looks like. If 
> that works for you, cool. You scratched your itch, and thanks for the 
> github repo which is always appreciated,
>
> On Thursday, May 21, 2026 at 7:13:44 AM UTC-7 WeatheredScientist wrote:
>
>> I think it's interesting how far the LLM enabled me to go. Just setting 
>> up the configs was interesting, I saw it make a lot of the same errors I 
>> would have been likely to make (appending text strings instead of 
>> replacing, for instance). 
>>
>> Ultimately, it's working, and I've shared it on github and docker. But 
>> it's fair to challenge what's up there to make it better, and make sure 
>> there isn't anything unnecessary or sloppy. If anyone is interested in 
>> helping, I'm open to learning and improving.
>>
>> On Thursday, May 21, 2026 at 7:38:37 AM UTC-4 Greg Troxel wrote:
>>
>>> WeatheredScientist <[email protected]> writes: 
>>>
>>> > @Vince, great questions. Keeping in mind, this whole build was heavily 
>>> > AI-assisted, i used claude to answer some of your questions, but i 
>>> think 
>>> > the responses are reasonable. Please challenge if they are slop! 
>>>
>>> Different people have different norms, but I think it's not ok to ask 
>>> other humans to wade through and fix LLM output. It's usually overly 
>>> verbose, and wrong in ways that are harder to spot than an actual 
>>> confused human. 
>>>
>>

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