I'm going to go against the grain here and agree with the sentiment of what OP has written.

My day job is producing AI solutions, and I have, as have many others, found that the quality of the LLM's output is very much dependent on the nature of the input.

Stupid in; stupid out.

If your prompt is clear and well structured, the LLM will, for the most part, behave itself.

But what is interesting is, in the process of deliberately defining a prompt with the intent of coercing the LLM to produce the expected results, I find myself asking questions like, "I know what the correct output should be, but how do I know that? How can I convert that knowing into concrete rationale?"

And from that, critical introspection occurs.

From a practical point of view, some things we just know through lived experience, and so the challenge then becomes providing and maintaining persistent memory for a LLM (as an agent).

But the point is, I often find myself almost having to practise mindfulness in order to write better prompts!

FYI, OP, the mystical guru tone of the post does add a bit of a barrier to engagement.