That's the answer of his LLM which has decomposed the question and built the answer following the op prompt obviously. I think you didn't get it.

> I think you didn't get it.

I did get it, and in my view my point still stands. If I need to use special prompts to ask such a simple question, then what are we doing here? The LLMs should be able to figure out a simple contradiction in the question the same way we (humans) do.

Not really a special prompt. It's basically my custom instruction to ChatGPT, the purpose of that instruction is to disambiguate my ramblings, basically. It's pretty effective. I always use speech to text, so it's messy and this cleanup really helps.

> Your objective has explicit instruction that car has to be present for a wash.

Which is exactly how you're supposed to prompt an LLM, is the fact that giving a vague prompt gives poor results really suprising?

In this case, with such a simple task, why even bother to prompt it?

The whole idea of this question is to show that pretty often implicit assumptions are not discovered by the LLM.