A deep dive into the five-layer framework: what AI can replace, what it can approach, and what is structurally out of reach.
This is the fourth in a series that started with an innocent question — "how do you test AI-generated code?"
The first post built the epistemological foundation.
The second turned it into a strategy map.
The third gave you a five-step operating cycle.
This post is the deep dive into the framework itself — the five layers that everything else builds on.
The Conversation So Far Two posts ago, I asked an innocent question: how do you test...
A five-layer framework for understanding what AI can and cannot replace — and a strategic map for where to position yourself.
A deep dive from the quality engineering crisis in the AI era to the question of what makes humans irreplaceable — the 60x…
L1: Domain → L2: Meta-domain → L3: Natural philosophy → L4: Philosophical meta-verification. The complete verification stack.
AI takes you from novice to competent across hundreds of domains. Then it quietly removes the one thing that turns competent into…
Every AI Portfolio Looks the Same Right Now A RAG chatbot. A sentiment analyser. A fine-tuned model...
