Kerson AI Solutions
A note before you read: This started as a brainstorming exercise, mapping my own ecosystem to think through what it actually does. It isn’t my most polished piece. But writing it opened up a line of thinking that’s led somewhere genuinely new. I’ll share that soon. For now, consider this the origin story. The Myth:...
Twenty years ago, if you asked someone what reasoning meant, they would describe a process that happened inside a human mind. If you asked about judgment, they would talk about wisdom earned slowly through experience. Autonomy meant the freedom of a person to choose their own path. Consciousness meant being awake in the world. Today...
Look at this image. A caveman squatting in the dirt, holding up a rock, asking a cat wearing a GPT collar whether something is true. Gems scattered on the ground, a cord coiled at his feet. It is funny. It is also, uncomfortably, accurate. The Most Powerful Tools in History. Accessed Via a Text Box....
This piece builds on an earlier essay I wrote, “Why We Think in Fences, Guns and Cats,” which explores why we mix ideas like Chesterton’s Fence, Chekhov’s Gun and Schrödinger’s Cat into a single mental toolbox for thinking about risk and systems. In that post, I deliberately spliced metaphors and sayings together; here, I push...
How a 1990s desktop database quietly evolved into today’s low-code and AI orchestration platforms Thanks to my good friend, Fabrice, who shared an article called “Why Microsoft Access is dying (and what is replacing it).” Fabrice knows I was a big fan of Access back in the day. But the article made me think about...
A Boundary Statement (Important) Before going further, a clear boundary: This article does not present an official AIGP curriculum, nor does it claim regulatory sufficiency.It is a personal learning model that distills AIGP concepts into early-stage, individual-level practices for organisations where AI is still primarily used as personal “power tools.” Formal AI governance, risk classification,...
Yesterday I attended DPEX 2026, and Kevin Shepherdson from Straits Interactive delivered a talk that cut straight through the noise. While everyone else is still talking about AI literacy and fluency, Kevin made a simple but critical argument: stop learning about AI, and start building AI capability. It’s a distinction that matters more than most people...
“Can we know for sure the output is accurate?” Or more precisely, “We need 90% accuracy” That is usually where the real conversation about AI starts. A client is not asking about prompts or models. They are asking: when this AI output becomes a signal in my system, a score, a summary, a recommendation, who...
Imagine a student who figures out their teacher always uses multiple-choice questions from the same test bank. The student doesn't study the material deeply. Instead, they memorize patterns in how questions are written and which answers tend to be correct. They pass every test with flying colors, but can't actually apply the knowledge when it...
Most discussions of AI today begin with outputs. We talk about text, images, audio, and video as though their importance is self-evident, treating them as novel commodities produced by increasingly powerful systems. In the language of the AI Factory, these are described as digital intelligence outputs, and the conversation quickly moves to scale, efficiency, and...