My guess would be that "professional" essentially translates to consistent, reliable and structured in the fashion a given industry expects. In this sense, everything AI/LLMs do is going to be "non-professional". Even when they solve frontier level math problems, the mathematicians agree "this is a terrible proof" (this goes against how the field does things). These things is always inconsistent/unreliable/unstructured but sometimes not too inconsistent etc to be useful. "How do use" tip sheets are also going to a list of ad-hoc observations, many of which its easy to get after X many tries with the generator - but that OK, essentially what you want is ways to save yourself time screwing around.
These thing may reach your standard consistent at some point, maybe. It's not important since before and after this point, they will require "messing around" to produce something useful but they can produce something if you need "good enough" but if you demand actually good, they won't arrive ever.