Case studies
What AI looks like in a real business.
Four places I've put AI to work, and what we built in each.
Local service company
A+ Garage Doors: three years of AI, working in the background.
The problem. A garage door company needs to show up in every neighborhood it serves, and its staff need answers fast.
What we built. Research-backed pages for each neighborhood, and a report for every one showing where it ranks in Google, so we can see what's working. Apps for the warehouse and the sales team. A company knowledge base the team asks questions of, instead of hunting through documents.
How it works day to day. I've worked alongside the company for three years, so the tools grow with the business instead of being handed over once.
Software product
MemberPress.ai: an assistant that runs a membership site for you.
The problem. Running a membership site means a long list of small jobs: members, access, payments, content.
What we built. An AI assistant that does those jobs when you ask, plus the content, videos and launches around the product.
AI agent team
My own fleet of agents, and what I've learned running it.
The idea. Instead of one chatbot, a team of AI agents that each own a job: writing, checking, publishing, reporting back to me at every step.
Why it matters to you. On the Embedded AI Team plan, this is the team that works for your business. I run it for my own sites first, so I've already hit the problems.
I write about what goes wrong and what works in the essays.
Search and AI answers
Garage Door Science: guides built to be found by search and by AI.
The problem. Homeowners search before they call. A guide site only helps if people can find it, and if AI assistants quote it when asked.
What we built. Plain, accurate garage door guides for homeowners, plus team apps for garage door companies.
What I'm watching. I'm tracking how the site shows up in Google and in AI answers, and I'll post what I find.
Want this for your business?
Tell me what you'd like AI to do, and I'll tell you where I'd start.