The real AI shift isn't the next model — it's control. The part I'd underline from this piece: the context layer.
We've seen large implementations where context got stuffed into oversized prompts — dazzling in the demo, and initially celebrated as look how fast we delivered compared to the original estimate. But as scale and time increased, degradation escalated and the false success became visible to everyone. The speed wasn't real — it was borrowed, front-loaded against a foundation that hadn't been built.
The clients who break through are the ones willing to do the unsexy work, starting with definitions they thought they'd already nailed but hadn't — not truly, not across boundaries. Semantic intelligence is a living organism, not a deliverable. It has to keep pace with the business, continuously. That's where architecture and systematic governance earn their keep together — architecture to avoid the prompt-stuffing trap in the first place, governance to keep the system honest as it evolves.