AI-Powered Design Feedback Tool

Generative UI capabilities dynamically render feedback components (critique cards, severity badges, suggestion panels) that adapt to the specific design issues detected, enabling rich interactive explanations

Parses 15+ formats including PDFs, PNGs, and Figma exports while preserving document structure and reading order — essential for analyzing spatial design relationships and wireframe hierarchies

Deep document understanding with grounded citations — crucial for explaining why specific choices violate Nielsen heuristics or WCAG guidelines with traceable references to reduce hallucinations

Stateful graph-based workflow orchestrating the full analysis pipeline: visual element extraction → principle retrieval → severity scoring → recommendation synthesis with human-in-the-loop review capabilities

Routes design analysis to optimal vision models (GPT-4o, Claude 3.5 Sonnet, Gemini) with automatic failover between providers and detailed cost tracking for high-volume image processing

Maintains multi-level memory (user preferences, brand guidelines, past feedback corrections) enabling personalized critiques that learn and improve across design review sessions

End-to-end tracing of vision model requests and RAG retrievals with LLM-as-judge evaluation for feedback accuracy, enabling detection of hallucinated design violations