100%, and a lot of them are truly terrible use cases for LLMs.

For example, using a LLM to transform structured data into JSON, and doing it with two LLMs in parallel to try to catch the inevitable failures, instead of just writing code that outputs JSON.

Your example does not make much sense (in response to OP). That's not saving anybody any money.