My heaviest LLM usage month came in at $45. So far this July, $6 and counting (it's been a light month). I can certainly imagine increasing my usage by several orders of magnitude but ... why? If I have something that needs to get done and an LLM can do it, great. But I'm not sitting here inventing reasons to waste money, which is apparently what the tokenmaxers are doing - as evidenced by the astounding lack of value produced by all this vibe coding.

You’re not even trying to use AI if that’s all you spend. I am not a tokenmaxer and it’s easy to max out my 20$ subscription just hacking on a simple web game. Working in a larger enterprise context it’s impossible for me to use AI daily and not spend hundreds of dollars.

I have 3 max20 subscriptions and usually max at least two of them out.

I'm doing lots.

I'm building a social media site that nobody will ever use. I'm printing an ancient game to Linux and expanding the features (such as adding hw acceleration where it isn't needed). I'm troubleshooting crash logs for an Xbox game that has maybe 50 active players. Im building a distributed customer service system that provides LLMs, RAG, tool calls for lots of integrations (Gmail, calendar, sheets) (this one actually has several paying users). I'm building games, and releasing them on the Google marketplace (play store?)

But what used the most tokens was a kind of agent swarm I experimented with to implement a complex desktop application for very specific data manipulation. That.. half worked.. but it's buggy.

I made several internal tools at my company that are actually getting used by pretty much everybody. That's my most successful work I think. Oh, and I created a backup deployment in Azure for my companies product because .. we had the azure credits, so why not?

Same. Granted I have the $100/month Claude sub and barely ever see any of my usage bars go above 50% before they're reset (and that's when I had lined up a bunch of things to test Fable with).

A lot of their usage was fable which is crazy expensive.

If you are reviewing the changes and keep giving input, it is not that token consuming. But many people go with full yolo with agent mode.

I honestly felt I was going pretty YOLO :)

I write specs and review, but the LLM writes all the code, tests, etc and only gets re-prompted when it screws up badly. That said, I'm not running that many agent loops in parallel, so maybe thats where the cost bites