Case study

AI-Powered CV-to-Portfolio Builder

Turn a messy CV and a mood photo into DESIGN.md tokens and a themed, publishable layout.

Role: Product Architect & AI UX Designer
Timeline: 2026

AI UX Patterns Token Mapping Generative UI Paper.design

Zero-Jargon Theme Engine

Generative UI Logic

Executive Summary

Most people struggle with portfolio layout, type hierarchy, and token consistency, not with writing their own bio.

Folio.md is an AI portfolio generator that takes an outdated CV plus a mood photo or URL, then outputs refined copy, a custom DESIGN.md theme, and deployable web code.

Product Workflow

User Input: Outdated CV PDF, photo or web-link inspiration, and short Q&A.
AI Engine Processing: Parse the CV, fill career gaps through prompts, extract palette and type rules.
Dynamic Output: Refined copy, custom DESIGN.md theme, published site code.

Core AI UX Patterns

Conversational Gap Analysis: Fill career gaps with targeted Q&A instead of blank forms.
Zero-Jargon Visual Theme Extraction: Pull palettes and fonts from photos, no hex codes required.
Real-Time Token Governance: Generated components stay on system tokens; humans still control layout density.