TAMPA AND ORLANDO, FLORIDA
Two decades in enterprise software taught me what has to be assembled for an idea to become something real that people pay for. AI closed the last gap. Now the distance between noticing a problem and shipping a product is measured in days.
WHAT I BUILD
Every one of these started the same way: I ran into a problem, could not find an honest product that solved it, and built it. Four are the main products, running in production with real customers. The rest are smaller, personal, or still in the shop.
The company everything else runs under. One operator, one factory floor, four live products and a growing bench of smaller ones.
Not a holding company that just owns paper. I build inside it.
A directory network covering cities across the country, listing verified local businesses. Real local presence, licensed where the state requires it, and reviews that hold up.
No pay-to-play rankings, and we do not resell your details to five contractors at once.
A 24/7 AI receptionist for local businesses. It answers on the number customers already call, books the job, and texts the owner the details. Nobody goes to voicemail.
Never miss an important call again, and never waste time on a spam one either.
For founders and executives who have become the bottleneck in their own company. It reads the mail before you do and drafts the replies, defends the calendar, catches commitments made on calls, and hands you the day already triaged.
Not a chatbot you have to remember to prompt. A named AI that does the work and brings you the decisions.
The universal CRM underneath it all: one timestamped, evidenced record per person, so every AI agent remembers a customer correctly and never repeats what was told to someone else.
Handyman work across Tampa and the surrounding Bay towns, plus a directory of 55 trades and over a thousand Tampa businesses.
The same model for Lafayette and Acadiana: handyman work booked directly, plus a directory of 54 trades and over a thousand local businesses.
Family movie and show recommendations from people you actually know, not a critic score. Early days, opening catalog live now.
My daughter's own corner of the internet, powered by her AI, Avery.
My son's page. He talks to his AI friend Buddy and tells him what to add.
An AI friend a kid can just talk to, no reading or typing, that builds their own little corner of the internet live while a parent watches. Building now.
Accountability software for men working to get free of pornography, built around a circle of brothers rather than a dashboard of shame. Content filtering across every device, and a mentor on the other end.
Some chains are not meant to be managed.
HOW I WORK
I have been writing down my ideas since I was eleven years old. Over the years I watched a good number of them come to market, built by somebody else. I took that to mean what it obviously meant: the ideas were sound. I simply did not have the means to act on them.
I go through an ordinary day and register the small frictions most people have trained themselves to ignore, and I can turn one of those into a product idea almost immediately. Two decades in enterprise software taught me the rest: what genuinely has to be assembled for an idea to become a real thing that real people pay for.
Artificial intelligence closed the last gap. Everywhere my own understanding ran out, it filled in. The bottleneck was never the ideas or the judgement. It was the ability and the means to bring them to life. That strain is gone.
So I build the whole thing now. The product, the voice agent that answers the phone, the directory it lists in, the billing, the site you are reading. I would rather ship something small that works than describe something large that does not.
BEFORE THIS
Most recently in partner sales for a conversational AI platform, where I spent my days showing large companies what an AI agent could actually do in production. That work, and the videos I made explaining it, is collected on its own page.