• summarizing large bodies of text to orient yourself in what is or isn't there. Obviously you need to open the actual documentation to check the facts, but the ai should give you links to open up.
• grammar explanations for language learning.
• it can be somewhat effective at searching across something like a ticketing or a work order system. Previously you would need to come up with a query, but sometimes the Metadata is not captured properly or at all. The llm can process the notes/comments and return a useful result.
• I've used it to draft documentation of my code, but i always have to edit it. I like having the formatting consistent at least.
• I'm not a programmer by trade, so sometimes I will have it review something I wrote and suggest improvements or a more standard way of writing it.
• slang explanations for language learning, with context.

I dont ever really use it to "do" anything on my behalf, but generally to "tell" me things. I could see myself telling a like a canva Ai to "color the 100 stars on this poster red" or something like that so I don't have to click around and change them, and I can instantly verify it was done correctly.

Is this worth the resource cost? Probably? I don't use it all the time, or even every day. Most of this could probably be handled on a local Ai instance instead of something datacenter level. I do wish to be charged the proper amount for what I use so I can make that evaluation, but that's still a bit obfuscated from me.