Why I'm Building AI Workbench in Public
The reasoning behind starting a long-term content platform that documents a real AI learning journey — not another hype-driven AI company.
Most AI content online falls into two buckets: breathless hype about what's coming, or dense research that never touches real work. I wanted a third option — a place that documents what actually happens when you sit down and use these tools to build real things.
That's what AI Workbench is. A workbench, not a showroom.
The problem with AI hype
The incentive structure online rewards confidence over accuracy. It's easier to predict the future than to show your work in the present. But predictions age badly, and they rarely help anyone ship anything.
I'd rather be useful than impressive. That means writing about the parts that are boring: the prompt that took nine tries, the SEO change that moved nothing, the automation that saved twenty minutes a week.
What "built in public" really means
Building in public isn't about broadcasting every thought. It's about making the process legible:
- Sharing the decisions, not just the outcomes
- Writing down what failed and why
- Publishing before it's perfect, then improving it
The goal is a body of work that compounds. Each post is a small deposit into something larger.
What you'll find here
The platform is organized around practical topics: AI, SEO, websites, automation, business, and productivity. Every article comes from real experience — something I built, broke, or figured out.
A note on pace
This is a long-term project. I'd rather publish one genuinely useful piece a week than ten forgettable ones. Slow content, compounding value.
Where this goes next
Over time, AI Workbench will grow to include resources, guides, and tools — all built on the same foundation of real experience. If that sounds like your kind of thing, the newsletter is the best way to follow along.
Thanks for being early.
