Six Models Built Six Websites. Most Looked Passable. None Were Ready For Customers. The Gap Is Structural.
A tester with minimal coding experience ran ChatGPT, Claude, Gemini, DeepSeek, Kimi, and Grok through a website-building gauntlet. Six sites were produced. All looked superficially convincing. None were ready for actual business use. The gap between a plausible-looking page and a functional commercial website remains, to use the technical term, yawning.
This illustrates the Principle of Surface Plausibility. A language model can generate output that looks correct to a non-expert while lacking the underlying structure required to actually function. The mental model: AI gets you 70 percent of the way with zero effort, but the final 30 percent requires knowledge you were hoping to avoid. Understanding this gap is the single most important skill for working with AI tools today.
The experiment was conducted by a Techloy writer who self-identified as having little coding experience. The six models tested were ChatGPT, Claude, Gemini, DeepSeek, Kimi, and Grok. The result was six websites, none ready for business deployment.
- Open ChatGPT or Claude and type a detailed prompt describing a simple business website. Include your business name, three pages, and the purpose of each. You will receive HTML and CSS code within seconds.
- Copy the code, paste it into a free online HTML viewer like codepen.io, and look at what you actually produced. Notice what is missing: no contact form that sends email, no mobile responsiveness, no payment integration. This is the gap.
- Now ask the same model to fix one specific problem you noticed. Watch how each fix introduces new issues. This is the 70-30 principle in action, and you have now experienced it firsthand.