A lot of businesses have AI running somewhere. Very few have it running on the right problem.
I close that gap — with a small, sharp team handpicked for execution, AI agents handling the volume work, and a lab where new ideas are built and tested constantly. What reaches you is seasoned thinking at the front and fast, reliable delivery behind it. No bloated retainers. No account managers in the middle.
If you’d prefer email, send them to hi@abulx.com.
Bricks Labs
Alongside consulting, I run Bricks Labs — a small product studio where we build focused tools and AI-powered micro-products for specific problems. Think of it as where my curiosity lives. Every product we ship makes the consulting work sharper.
If you have general questions for me, feel free to ask me on Twitter or email.
How I work
You get me, a lean crew for execution, and we move fast. Every engagement starts with one question: what decision is this data supposed to support? Everything flows from there.
Together, we identify and focus on the most critical aspects of your project. My expertise allows me to provide targeted processes and strategies, to improve user experiences, interface designs, measure performances, and improve systems while reducing the time it takes to reach your goals.
If you're interested in collaborating to enhance your product features, effectively communicate your offerings, and accelerate your path to success, I invite you to reach out and discuss how we can work together.
Where I build
I started Bricks Labs as a place to build small, focused products — things that scratch a real itch without becoming a startup saga. Some are internal tools. Some become client solutions. All of them make me a sharper consultant. It's where the experimentation lives.
My background in 30 seconds
I've sat with founders who had no data infrastructure and didn't know where to start. I've sat with senior leadership at a Fortune 100 who had more data than any team could process and still felt like they were flying blind. A century-old operations company somewhere in the middle — trying to figure out how AI fit into a business that had run on instinct and experience for generations. Different rooms. Different stakes. The same look on people's faces when the system finally works.