[throwaway914]

At my org -

I've been using it to counter disappointing performance reviews in a professional way that aligns with policy to "further develop the employee". I've use it to create first drafts of proposals for changing business processes (saved me hours of time just outlining an argument). I've uploaded most of our PDFs and had it do some "fuzzing" in a sense to find logic errors, or slightly diverging interpretations of policy terms. This has been used to feedback to our policy and planning folks to cover a hole, or clarify some random document. I've definitely used AI to respond to a bad coworker or supervisor when I'm depressed I have to suffer under/around them. I still proofread the mistakes, but I make more mistakes when I'm trying to sound professional and just depressed about the work. Took this to a dark place, but there's more success than papering over BS. I've helped get 4 new benefits for our employee type with my proposals and the supporting "evidence" the LLM can drag up and justify in an opening brief. The type of employee I am is expected to receive 22% higher pay this year.

I used to think I don't have the bandwidth or headspace for understanding our collection of policy documents. There are rare experts. LLMs have lowered the barrier to entry for m e to contribute. I wish I could be specific, but I helped uncover that certain benefits were not available to the type of employee I am, and how previous pay comparisons were done assuming something about total compensation. Well, my employee doesn't have benefits so the numbers they were comparing against were not representative of us. Got a proposal in there, an got a few executives to say "ohh".

It's been fun.