This started with a meme on LinkedIn of all places... Not a whitepaper. Not a strategy doc. It irritated me because it named a thing I had been running into over and over. I would be building something with AI, the demo would look fine, and then I would hit a bug I could not even describe correctly. I would literally have to ask an AI: "What the fuck am I fighting right now?" Then the answer would come back with a name: "That is a CORS issue." "That is a race condition." "That is an auth boundary problem." "That is a missing migration." "That is row-level security." The useful part was not just fixing the bug, it was learning the thing had a name. That happened enough times that the meme started feeling like a map. So I took it seriously. I fed it into two different AI research tools and asked them to expand the idea. What do new builders miss? What breaks after the happy path works? Which layers matter before anyone treats an AI-built app as real? Then I took that research into Codex and started building CheckYourself. The name came from Ice Cube's "Check Yo Self," the line I could not stop hearing in my head: Check Yourself Before You Wreck Yourself. It was a joke, a rap reference, and eventually the product spec. Funny enough to stick. Blunt enough to be useful. CheckYourself is a free, local-first production-readiness system for AI-built apps. You drop it into or next to a project, point your coding agent at it, and ask for a read-only diagnostic. It does not start by fixing. It starts by mapping the app, inferring the stack, sweeping the production risk surfaces, giving the project a 0-100 Production Reality Score, and proposing the safest first fix batch. The rule is simple: Do not let the agent touch code until it can explain what it found, why it matters, how to verify the fix, and how to roll it back. I dogfooded it on itself before making the repo public. Final pass: 100/100, high confidence, complete 20-surface coverage, zero open P0/P1/P2/P3 findings.