I’m not a programmer. I want to get that out of the way first, because it matters.
I’ve been running businesses for 20 years - Indy Hall, one of the world’s original coworking communities, and Stacking the Bricks, where I taught thousands of people how to build products.
I understand technology well enough to know what’s possible, but I’ve never been the person writing the code.
When ChatGPT launched, I was skeptical. I tried it. I saw the demos. I thought: this is interesting, but it doesn’t do anything I need it to do. It was a party trick dressed up as a productivity tool.
I checked back every few months. Each time, the gap between “impressive demo” and “useful in my actual business” got smaller. But it never closed. Every tool I tried still needed me to be the engine - prompting, copying, pasting, formatting, routing information between systems.
Then Claude Code changed the equation.
It was smarter, but that wasn’t the point.
It could actually do things. Read my email. Check my calendar. Write files. Call APIs.
The gap between “AI that talks” and “AI that works” finally closed.
So I started building. A system, wired into my actual tools, my actual workflows, the way my brain actually works.
It started small. An email triage routine. A meeting prep brief. A relationship tracker.
Six months later, it handles my email, my calendar, my tasks, my relationships, my projects, my daily briefings, and about 40 automated routines that run while I sleep. I named them Andy.
The thing I didn’t expect: the compound effect.
Each capability makes every other capability better.
The relationship memory improves meeting prep. The meeting prep improves follow-ups. The follow-ups improve relationships.
It’s a flywheel.
It also gets smarter over time, because it learns from how I actually work - not from how the product assumes I work.
I built this because nothing on the market did what I needed.
The technology existed. No one was building for people like me: business operators who are too busy to babysit another tool, too particular to accept someone else’s workflow, and too stubborn to trust a demo without proof in their own workflow.
That gap kept bothering me. So eventually I decided to close it myself.