Writing

Applied AI for Marketing Ops

What I’ve learned building AI workflows, GTM systems, and agents for real operational work.

I write from what I’ve built and implemented: the methods, tradeoffs, failures, and what made it into the workflow.

What you’ll find here

I write from systems I’ve experimented with and implemented across marketing operations: AI workflows, GTM systems, agent teams, strategy, and review. The details include compliance, legacy stacks, change management, and the realities of adoption.

That includes the failures. Knowing when not to use AI is part of the discipline. Some problems are still better solved with deterministic automation.

If you run operations, build GTM systems, or are responsible for getting AI into real work, this is written for you.

Start here

Start with the problem you’re trying to solve.

I usually tell people to start with a problem, so I’ve organized the writing the same way. Pick the part you’re working through now.

Starter kits

The posts come with free, self-contained starter kits: set up a review lane, a judgment folder, or a strategy doc your AI tools can execute against, by hand or by handing the file to an agent. Find them all on the Starter Kits page.