Nothing irks me quite as much as "Did you use ChatGPT/AI on this?" or assumptions that it was used.
Just the other week a client reached out and asked a bunch of questions that resulted in me writing 15+ SQL queries (not small/basic ones) from scratch and then doing some more math/calculations on top of that to get the client the numbers they were looking for. After spending an hour or two on it and writing up my response they said something to the effect up "Thanks for that! I hope AI made it easy to get that all together!".
I'm sure they were mostly being nice and trying (badly) to say "I hope it wasn't too much trouble" but it took me a few iterations to put together a reply that wasn't confrontational. No, I didn't use AI, mostly because they absolutely suck at that kind of thing. Oh, they might spit of convincing SQL statements, those SQL statements might even work and return data, but the chance they got the right numbers is very low in my experience (yes, I've tried).
The nuance in a database schema, especially one that's been around for a while and seen its share of additions/migrations/etc, is something LLMs do not handle well. Sure, if you want a count of users an LLM can probably do that, but anything more complicated that I've tried falls over very quickly.
The whole ordeal frustrated me quite a bit because it trivialized and minimized what was real work that I did (non-billed work, trying to be nice). I wouldn't do this because I'm a professional but there was a moment when I thought "Next time I'll just reply with AI Slop instead and let them sort it out". It really took the wind out of my sails and made me regret the effort I put into getting them the data they asked for.
Just the other week a client reached out and asked a bunch of questions that resulted in me writing 15+ SQL queries (not small/basic ones) from scratch and then doing some more math/calculations on top of that to get the client the numbers they were looking for. After spending an hour or two on it and writing up my response they said something to the effect up "Thanks for that! I hope AI made it easy to get that all together!".
I'm sure they were mostly being nice and trying (badly) to say "I hope it wasn't too much trouble" but it took me a few iterations to put together a reply that wasn't confrontational. No, I didn't use AI, mostly because they absolutely suck at that kind of thing. Oh, they might spit of convincing SQL statements, those SQL statements might even work and return data, but the chance they got the right numbers is very low in my experience (yes, I've tried).
The nuance in a database schema, especially one that's been around for a while and seen its share of additions/migrations/etc, is something LLMs do not handle well. Sure, if you want a count of users an LLM can probably do that, but anything more complicated that I've tried falls over very quickly.
The whole ordeal frustrated me quite a bit because it trivialized and minimized what was real work that I did (non-billed work, trying to be nice). I wouldn't do this because I'm a professional but there was a moment when I thought "Next time I'll just reply with AI Slop instead and let them sort it out". It really took the wind out of my sails and made me regret the effort I put into getting them the data they asked for.