I started paying close attention to AI in late 2022, when GPT-3.5 made it clear the work of the next decade was going to be different from the work of the last one. The question was what that actually meant inside large organisations.
Before that, I spent fifteen years on the enterprise side of technology — integration architecture, middleware, DevOps, and complex programme delivery at companies like Swisscom, UBS, Philips, and Roche, then consulting and solution architecture in Switzerland. I am now a Senior Account Partner at Salesforce. The constant across those roles was the same gap: the distance between what new technology could do and what enterprises could actually absorb.
Since 2023 I have been learning this new wave by building with it. Python notebooks, fine-tuning small models, quantisation, LangChain and LangGraph, MCP, agents, vibe-coding tools, a home lab built around an RTX 4090 running local models. This site is coded by me with Codex and Claude Code. I find the shortest path to understanding a technology is to put my hands on it.
What I saw, repeatedly, was the gap between how fast AI moves in the open world and how slowly it metabolises inside enterprises. That is what the book is about — and what this site is for. Part field notes from my own experiments, part the working-out of the argument that became Govern or Fail.