Practical AI. No hype.
Everything here comes from work that shipped: client engagements, training rooms, the studio. If a post can't show a receipt, it doesn't get published.
The writing starts soon. If you landed here from something I published years ago, that older work is retired: it was about social media tools and growth tactics, and it is not what I do now. What follows is.
Where to start instead
The method, in full. Problem, Process, Question, Automate. Four steps, written out with what each one actually means, plus the questions I get asked most often.
The films. Four AI films you can press play on, made without a cast, a crew or a location. The most direct proof of what the tools can do in the right hands.
AI training for employees. What a session looks like when a team builds on its own briefs instead of watching slides, and what they leave with.
Engagements. Assistants, agents, automations, internal tools and AI SEO, and the 30-day roadmap they get built against.
The longer story. Ten years in growth before AI, one bad Midjourney ad in 2023, and why everything changed after it.
What will be published here
One rule governs the writing, the same one that governs the training: nothing gets published that is not already being delivered for a paying client. That means fewer posts than most consultants publish, and every one of them carries a receipt: the brief, what was built, what it replaced, what it cost.
Expect notes from inside training rooms, teardowns of automations that worked and ones that did not, and the occasional argument about where AI is being oversold.