Build your AI-native marketing function, one essay at a time.

Plenty of CMOs talk about going AI-native. Tim has actually rebuilt a marketing org around it, and he shows the receipts in every issue.

Tim is defining the frontier of using AI in marketing - and driving real impact with it

Every issue gives me something I can bring to my team on Monday. No hype, just what is working at scale.

Tim is one of the few operators doing this work at real scale and sharing it openly. Required reading for every go-to-market leader.

As a sales leader I do not read many marketing newsletters. I read this one, because it is about pipeline and the operating model behind it.

I am massively AI-pilled, and Tim really knows his stuff. I took a ton of notes, and he gave me a lot to think about.

Most AI-native talk stops at the demo. Tim writes about the architecture underneath it: the data, the governance, and what you have to get right before the agents are useful.

I have spent fifteen years building growth engines. Tim is one of the very few CMOs rebuilding one from scratch with AI at the core, and writing down exactly how.

Tim writes for leaders who have to make the call, not just admire the technology. Honest about the trade-offs, specific about what to do next.

Tim treats marketing as a data and systems problem, which is exactly what it has become. Every issue is grounded in something he has actually shipped.

Tim understands what it actually takes to run a business on AI, not just add it on top. His writing is the closest thing to a playbook for CMOs who want to do the same.

One insight from Tim changed everything: AI-native is not a tool you add, it is a different way of running the company. We rebuilt how Gold Front works around it, and the agency is leading its category as a result.

We work with B2B go-to-market teams every day, and most are still bolting AI onto a broken funnel. Tim shows what it looks like to redesign the whole system around it, from pipeline to revenue.

Tim never treats marketing as lead generation. He writes about it as a revenue system, with sales, data and AI working together, and he backs every idea with numbers from his own team.