Traditional AI website builders force users into a frustrating trade-off: they offer instant, automated generation speed, but deliver rigid, generic layouts that give the user zero control over component-driven edits.

Because existing tools fail to balance automated speed with granular design control, early adopters cannot easily modify AI-generated layouts to fit their exact needs, leading to workflow friction and product abandonment.

Intent-Driven Generative Prompting: Designed an intuitive onboarding flow that translates natural user intent into clean layout wireframes, ensuring the initial AI generation matches the user's structural expectations from the start.

Granular Component-Level Control: Developed a contextual workspace interface that allows users to select, swap, and modify individual UI components post-generation without breaking the overall layout integrity.

Hybrid Automated-Manual Workflow: Balanced automated design generation with precise manual tweaking controls, giving users the speed of AI alongside the freedom of a traditional design canvas.

Developer-Ready Code Exporting: Built a seamless handoff system that converts the customised, component-driven layouts into clean, production-ready code blocks to remove friction between design and deployment.

Edit elements and components without affecting the rest layout

Refine through intent or direct control

When design is ready, everything you need is in one place, preview it in a real-world view, access structured output, or take it wherever it needs to go.

Delivered a complete AI prompt to design MVP, including the core generation workflow, export experience, and an internal library of reusable components within an 8 week timeline as the sole product designer working alongside founder and engineering team.