╔═══════════════════════════════════════╗
║  EXPERIMENT #1: DESIGN ANALYSIS       ║
║  ────────────────────────────────────     ║
║  AI-NATIVE DESIGN → IMPLEMENTATION    ║
║  Mockup Analysis + 5 Components       ║
║                                       ║
║  TIME: 2.7hrs | SAVINGS: 88%         ║
║  COST: ~$2.50 | COMPONENTS: 5        ║
║  CODE: 1,045 lines | DOCS: 2,800+   ║
╚═══════════════════════════════════════╝
Development

Experiment #2: Design Gap Analysis - Can AI Systematically Analyze Client Mockups and Create Implementation Roadmaps?

Client provided a Canva mockup with the instruction to 'improve the design.' This experiment tested whether Claude Code could systematically analyze mockups, compare against codebases, and execute full implementation. Built in 2.7 hours vs 22-31 hours estimated manual (88% time savings). Critical finding: current codebase was MORE sophisticated than mockup. Delivered 5 components (ProductSidebar, StatsDisplay, ProcessSection, IconCard), 3D visualization research, and comprehensive documentation.

November 18, 2025
18 min read
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Tags:
design-analysiscomponent-developmentai-assisted-development