The story behind Ship It With AI

I'm not a computer scientist. I started building websites for clients the slow way — templates, late nights, YouTube tutorials — and billing for them anyway. The work was real before the skills were complete, and I spent the following years closing that gap in the worst possible order: in production, in front of people who had already paid.

When AI got good enough to write production code, most people used it to play. I used it to compress delivery: briefing, build, review, deploy. Projects that took weeks started taking days. What did not change was who had to notice when the output was wrong. That stayed my job — and it is exactly the part the tools do not hand you.

Today the studio builds client websites, products with backends and its own internal tools, with AI in the loop for most of it. The course exists because the question I get most often isn't «which model do you use?». It's some version of «how do I know whether what it gave me is any good?»

That is a skill question, not a tool question. So I wrote down how you get the skill.