Prompt Engineering - The Protocol of Intent: The Theoretical Foundation

Hi Lance, fair point. I think whatever effor we do to make prompting more clear to avoid missresponses is welcome. At the same time, I would not trust an LLM black box with all its so called hallucintatios (a fancy euphemism for a evidently wrong response) more than I trust a human. We should use LLM ¨thinking¨ capabilities to allow it to orchestrate and operate but ain doing so, we should narrow the decision space enough to get a 99,999% accuracy. I like having a trained pilot driving my plane but I dont want him to fly without following strict procedures that were built on years of experience, no matter how good he seems to be. In the same way we should provide curated procedures so LLMs does not come up with hallucinated solutions that are too far from a safety envelope. There is always room for calling that creativite and use it for our benefit but when thinking on agentic AI driving real processes, we should be more cautious. I would not like a blackbox desinging solutions from first principles every time i ask for a task and hoping the prompt is good enough to avoid miss solutions.