So this is a good use case for it: you will most likely get immediate feedback if it's wrong, and a bit delayed feedback if it achieved the wrong thing; and you

So this is a good use case for it: you will most likely get immediate feedback if it's wrong, and a bit delayed feedback if it achieved the wrong thing; and you can prod it to try harder. LLMs are best used when you can easily verify the results.