If you're having trouble coming up with tasks for 'artificial intelligence too cheap to meter', it could be because you are having trouble coming up with tasks for intelligence period. Just because something is highly useful doesn't mean you can immediately make use of it in your current local optimum; you may need to seriously reorganize your life and workflows before any kind of intelligence could be useful.

There is a good post on the front page right now about exactly this: https://www.lesswrong.com/posts/7L8ZwMJkhLXjSa7tD/the-great-data-integration-schlep (I usually call this concept "automation as colonization wave": many major technologies of undoubted enormous value, such as steam or the Internet or teleconferencing/remote-working, take a long time to have massive effects because you have everyone stuck in local optima and potentially outright sabotaging any integration of the Big New Thing, and potentially have to create entirely new organizations and painfully liquidate the old ones through decades of bleeding.)

So one thing you could try, if you are struggling to spend $1000/month usefully on artificial intelligence, is to instead experiment by committing to spend $1000/month on natural intelligence. That is, look into hiring a remote worker / assistant / secretary, an intern, or something else of that ilk. They are, by definition, a flexible multimodal general intelligence neural net capable of tool use and agency. And if you mentally ignore that $1000/month because it's an experiment, you have 'natural intelligence too cheap to meter' as a sunk cost.

(If this is still too confusing, you can try treating yourself as a remote worker and roleplay as them by sending yourself emails and trying to pretend you have amnesia as you write a reply and avoid doing anything a remote work could not do, like edit files on your computer, and charging yourself an appropriate hourly rate, terminating at $1000 cumulative.)

If you find you cannot make good use of your hired natural intelligent neural net, then that fully explains your difficulty of coming up with compelling usecases for artificially intelligent neural nets too. And if you do, you now have a clean set of things you can meaningfully try to do with AI services.

One possible approach could be to have the AI make something useful, and then sell it. That way, you could get a part of the $1000 back. Possibly all of it. Possibly make some extra money, which would allow you to spend even more money on AI the next month.

So we need a product that is purely digital, like a book, or a computer program. Sell the book using some online shop that will print it on demand, sell the computer game on Steam. Keep producing one book after another, and one game after another.

Many people are probably already doing this, so you need something to separate yourself from the crowd. I assume that most people using this strategy produce complete crap, so you only need to be slightly better. For example, read what the computer generated, and click "retry" if it is awful. Create a website for your book, offering a free chapter. Publish an online novel, chapter by chapter. Make a blog for your game; let the AI also generate articles describing your (fictional) creative process, the obstacles you met and the lessons you learned. Basically, the AI will do the product, but you need to do marketing.

A more complex project would be to think about an online project, and let the AI build it. But you need a good idea first. However, depending on how cheap intelligence is, the idea doesn't have to be too good; you only need enough users to pay for the costs of development and hosting, plus some profit. So basically, read random web pages, when you find people complaining about (lack of) something, built it, and send them a link.