My team was facing an issue with their microservice not recovering after a Kafka outage, which we only observed once and we couldn't reproduce, and didnt understand why not. Googling the symptoms did not yield anything. ChatGPT gave us a theory which happened to be correct, which was that the outage needed to be long enough for the kerberos ticket needed to expire. I estimate without this answer from chatgpt we would have wasted at least a day of our own or other people's time in investigation, but it was solved in minutes.

I use it for several purposes. I most recently used it to find a recèpe for Limecreate for some Ukrainian builders and translate the recipe to Ukrainian.

I also use it to be build multi linguistic tasks lists in English, Polish and Ukrainian for Google sheets.

I also just used it to help create crop planting plan for a farm in Kenya which has just had massive floods, with a constraint that local produce reaches the highest value in December and January. The other constraint is that some of the crops have survived but not all. It is an interesting yield management experiment

Comparing any two things so you can clarify the differences. I have found it works well for abstractions.

It is very useful in providing similar examples too. It's way better than a thesaurus.