Figuring Out AI for Marketing
Weekly notes from real AI marketing experiments
I've been in B2B marketing for about 10 years now. Started as a specialist, became a generalist, and somewhere along the way became the "figure it out" person on small teams.
So when AI tools started getting serious beyond "help me rewrite this paragraph", I assumed it wasn't for me.
I write copy. I run campaigns. I don't live in a terminal.
Then I actually tried it. And it turns out, you don't need to be technical. You just need to be willing to break things and learn as you go.
And this newsletter is me sharing what I wish I'd known earlier.
If you’re a marketer who keeps hearing about AI but feels unsure where to start, this is for you.
Why I’m writing this
At first, AI helped me in small ways. Cleaning up copy. Editing content. Improving clarity and tone. That alone was useful.
But things really changed when I started trying AI for actual marketing use cases. Building small tools. Automating workflows. Solving specific problems instead of just playing with prompts.
Tools like Claude, Loveable, n8n, and recently Claude Code made me realize that AI is very useful for non-technical folks like marketers if you approach it the right way.
While learning, I kept notes for myself. What worked. What didn’t. Where I got stuck. Where I wasted time.
That’s when I thought it might be useful to share these notes publicly. Not as expert advice, but as real experiments from real marketing work.
This newsletter is me learning in public.
What this newsletter will actually be like
This is not an AI news roundup.
This is not a list of shiny tools.
This is not filled with AI jargon.
Here’s what you’ll find instead:
Real marketing problems I try to solve using AI
The exact setup I use and why
What worked and what failed
Simple explanations from a marketer’s point of view
Examples from my own work or from people in my network
Most issues will focus on one use case at a time. One problem. One approach. One learning.
If you work in B2B SaaS, growth, or marketing and want practical AI use cases without the noise, this is for you.
How I’ll share these notes
For now, I plan to publish weekly.
Each issue will be a short set of notes around one idea or experiment. Sometimes it will be text. Sometimes it will include a video walkthrough or screen recording showing what I tried and how it turned out.
I won’t publish just to keep a schedule. If there’s no value, I won’t send it.
What I hope changes for you
My main goal is simple.
I want non-technical marketers to feel less scared of AI tools. Especially tools that look complex at first, like Claude Code or workflow automation tools.
You don’t need to understand everything to start. You just need a place to begin and a reason to try.
If this newsletter helps you try one tool, test one workflow, or look at AI with a bit more confidence, it’s doing its job.
Thanks for being here early.
If you try something I share and it doesn’t work, comment and tell me. If you’re stuck, ask. If you want me to try a specific use case, let me know.
See you soon,