Writing
Applied AI for Marketing Ops
“Practical AI implementation for operations professionals. No hype, just what actually works in corporate environments with enterprise constraints.”
I write about my journey and experience building AI: methodology, approaches, what works and what doesn’t.
What you’ll find here
I write from the systems I’ve experimented with and implemented, and I provide what’s missing from a lot of AI content: compliance reviews, legacy stacks, change management, and the realities of adoption.
That includes the failures. Knowing when not to use AI is half the discipline; some problems are still won by deterministic and automated workflows.
If you run marketing operations and you’re being asked to “do something with AI,” this is written for you.
Latest posts
Executing at the Speed of Strategy
AI promises to move as fast as your strategy changes. For that to work, you have to know what your strategy actually is.
Read on Substack →June 4, 2026Your Moat Isn't the Model
Anyone can build an impressive AI output in an hour. Your edge is what only you know.
Read on Substack →May 22, 2026Managing Multi-Agent Systems
The dashboard I built to keep up with my agents without reading every chat message.
Read on Substack →May 7, 2026From Artifact to Production: 3 Ways to Productionize AI at Work
What it actually takes to move AI out of the chat and onto your team, and where it goes from there.
Read on Substack →May 1, 2026The Gap Between What AI Can Do and What Companies Can Do With AI
Why AI transformation starts at the wrong layer of the org, and the structural changes that enable it.
Read on Substack →April 13, 2026How to Actually Get AI Working at Work
Lessons from building 9 tools in 11 months.
Read on Substack →