// AI WEBSITES

What's the right way to build a website with AI that survives production?

Everyone means "fastest" when they say "best way," and that is exactly the site that breaks in the first month of real traffic. The right way to build a website with AI is the way that produces something that holds up after launch, and it runs in four phases: specification, generation, gating, hardening. Specification is writing down who the visitor is and what counts as done before AI generates a line. Generation is where AI is genuinely fast, drafting code and copy and layout against that brief. Gating is the leg almost everyone skips: structure, function, and performance each checked by a human walking the actual path, not just watching it render. Hardening is fixing what only real conditions reveal, the mobile break, the contact form that fails silently, the slow load nobody caught in preview. The phases overlap, but skipping any one of them is the single most consistent reason AI-built sites break later. AI does not know your buyer, and it will hand you the median site unless you hold every draft against the spec and refuse the parts that drift toward generic. That refusal is the work. The speed is real, but it is only worth something if what ships survives contact with visitors. If you are turning personal site work into client builds, this cluster is the wall you are about to hit, and the map for getting past it.