After a brief flirtation with one‑click site generators, the author ripped out a portfolio built via a Gamma‑style PDF‑to‑website tool, calling it a soulless PowerPoint clone. Turning to Google AI Studio, he prompted the newest Gemini model to craft a custom React front‑end styled with Tailwind CSS. Weeks of pixel‑perfect tweaking in the AI preview soon hit the classic “works in the preview” wall: missing dependencies, hallucinated components, and circular routing broke the build when transferred to VS Code and pushed to GitHub.

Rather than abandon the effort, he adopted a “restart from zero” mindset, shifting from coder to system architect. By describing high‑level component contracts—e.g., a reusable button with variant props—rather than asking for specific colors, he let the model supply correct syntax. Debugging turned into a logic exercise, tracing the flow of data between parent and child components instead of hunting semicolons.

After days of prompt refinement, version 1 launched on Vercel, functional if not perfectly optimized. The experiment shows that developers can leverage generative AI as a design partner, provided they guide it with clear architectural intent.