Hi, I'm Alfred.
I build AI systems around how companies really work. Before this I spent nine years in marketing: real budgets, real clients, every mistake you can make. Now I turn that experience into systems that run in production every day.
How I got here
I spent nine years deep in marketing: Google Ads, content, e-commerce, SaaS, lead gen. Not from tutorials or courses, but from managing real budgets for real clients and making every mistake you can make along the way. When AI came around, I knew it could change how this work gets done. Since November 2022 I've spent most of my waking hours figuring out how to make it useful instead of impressive.
I skipped the hype and built the version that does the work. Systems running in production every day: an AI email agent answering customer support in 24 countries, an SEO content engine writing category pages from millions of rows of real search data, reporting, image generation, ad copy. All built around existing workflows, not against them.
Along the way I created PPCOS, now used by more than 2000 Google Ads experts around the globe.
I didn't come from software. I came from the work. Nine years in marketing taught me what needs building. Since 2022, I've been building it.
85% of my AI experiments land in the trash. That's the method. The experiments are mine to absorb. The part I hand over has to run in production.
How I build
The workflow comes before the model.
I start next to the person doing the work. What comes in? What do they check? What goes out? The technology comes after I understand that.
Deterministic where possible. AI where it earns its place.
If normal code or a lookup table can do the job reliably, I use that. The model handles the messy parts that need language, context, or judgment.
If it's only in someone's head, it does not exist.
The system needs the rules, examples, exceptions, and definition of good. Capturing that knowledge is half the build.
What I do
- Map the workflow with the person who does the work
- Build and deploy custom AI systems end to end
- Test them on real work and add safety gates where needed
- Hand over the code, docs, and training so your team can run it
What I don't do
- Machine learning / heavy ML systems
- Managed Google Ads accounts
- AI demos that never make it into real work
- Force AI into a problem normal software solves better
Off the clock
I live in Almelo, the Netherlands with my wife and our dog Delphy, who is the reason this company is called Pitcocy (long story, short dog). I'm a die-hard Cleveland Browns fan, which means I pay for my sins on a weekly basis. I lift four times a week, my alarm goes off at 4:45 AM, and I don't drink.
The dream? A small house in the middle of nowhere with a cow, three pigs, and some chickens. Until then, I build.
Show me the workflow.
Tell me where the hours disappear. I'll tell you what I would build first.