Agentic Intelligence

Remember the telephone game? One person whispers a message, it passes through a chain of people, and by the end “ogether we will make a world of difference” becomes simply “haaaaa.” We’re playing the same game with artificial intelligence now — except the output sounds polished at every step. That’s what makes it dangerous. Anecdotal evidence On a recent project, someone used an LLM to draft a strategy document. A second person took that output and fed it back into an LLM to build on it. A third person layered their own AI-assisted revisions on top. A fourth reviewed the latest version…also with AI. Then the original author looped that version back into the LLM to come up with the “final” version. ...

A few months ago, I found myself trying to wrangle a large language model (LLM) into doing my bidding with what can only be described as a “mega-prompt.” If you’ve ever tried to fit an entire workflow, context, and all possible edge cases into a single AI prompt, you’ll know the feeling: somewhere between optimism and mild dread. The results were…mixed. Sometimes the model would spit out something useful. Other times, it would get lost, hallucinate details, or just run out of steam halfway through. The more I tried to stuff into the prompt, the less reliable things became. ...