I'm an early engineer at a startup that has nothing to do with AI. I use LLMs for 2 and 3 all the time. A lot of times we'll release a new feature and I'll writ

I'm an early engineer at a startup that has nothing to do with AI. I use LLMs for 2 and 3 all the time. A lot of times we'll release a new feature and I'll write my own fairly technical summary of it, then I'll ask an LLM to either target it for a specific channel (e.g. create a version of the post targeting execs vs creating one that's focused on users) or condense it down if we're posting a summary onto a social media channel. In all cases I check the LLM's work, but I rarely have to do much. When I led teams at a big tech, I generally had a human whose job it was to do this kind of copy refinement/editing when my teams released new features. I find the LLM to be just as good, though obviously our reach is much smaller and the consequences of a mistake are much milder given our size. This is the kind of productivity boost I think of that LLMs offer; pre-LLM we would probably contract out a copy editor for this kind of work but now we do it all in-house and don't have to deal with working with a contractor's hours.