Four years ago I had never touched a computer. I ran a small local business on one-to-one, face-to-face sales. Then I heard about AI, and something clicked. What follows is the honest map of how I taught myself: the order it actually happened in, and the exact sources I leaned on along the way. They are all free and public. If you are starting where I started, the same doors are open to you.
A local business run entirely on one-to-one, in-person sales. No computer, no code, no online presence. Everything was conversation and handshake.
I heard about AI for the first time and was immediately hooked. I knew I had to start. The same year I launched an HR-marketing agency, my first real reason to get on a computer every day.
I started working in Notion and Make.com and using GPT day to day, running the agency on them. This is where automation and AI stopped being ideas and became how I actually worked.
I left the agency behind and specialized in marketing systems. This is where I started taking agent architectures seriously and went deep, designing the multi-stage, verified pipelines I build today.
Multi-agent AI pipelines with verification gates, no-code automations, bespoke AI skills, and the design-ops work documented in the portfolio, built to run with minimal hand-holding.
I am proof you do not need a degree, a bootcamp, or a team to build something real, just curiosity and the patience to read the source. Everything I learned from is right above, and it is free. If you are starting out, start there. And if you would rather build something together, I am one message away.