UXUI Principles
A reference library of research-backed UX rules you can paste straight into Claude, Cursor, or V0 as a prompt — so the interface an AI generates for you follows real cognitive-science principles instead of just looking plausible.
🔗 Visit UXUI Principles
Description
AI coding and design tools are very good at producing something that looks like a finished interface — and very bad at knowing whether that interface actually follows sound usability principles (Fitts's Law, Hick's Law, established accessibility patterns). UXUI Principles is a paid library of 185 such principles, each backed by academic citations (2,300+ total), packaged as ready-to-use prompts for AI tools like Claude, Cursor, and V0, plus diagnostic tools to check existing AI-generated UI against them.
It's built by a single practitioner (Jose Hurtado, with 10+ years of UX/engineering experience) rather than a large team, and includes role-specific guidance for designers, PMs, developers, and founders, plus specialized sections for accessibility, voice UI, and AR/VR. There's a developer API and MCP server for wiring the principles directly into an AI coding workflow, rather than manually copy-pasting prompts.
💬 Our review
The short version: this solves a real, specific problem — 'the AI-generated UI looks fine but I have no idea if it's actually usable' — that's become more common exactly because AI design/coding tools have gotten good at producing plausible-looking output without any usability grounding underneath.
Against Mobbin or Smart Patterns, which are primarily visual pattern libraries (screenshots of real app UI for inspiration), UXUI Principles is closer to a research citation database packaged for prompt injection — a genuinely different approach that's more useful if you're specifically trying to *validate* AI output against evidence than if you're browsing for visual inspiration. At $59/year, it's cheap relative to the cost of shipping an interface with real usability problems, though the value depends heavily on whether you're actually building with AI tools daily — if you design by hand, a visual pattern library is probably more directly useful.
💰 Pricing
📊 Global score
🤖 AI-enriched data
Free: 6 sample principles, 5 validation tools. Principles Library: $59/year (was $79), 185 principles, 2,300+ citations, 600+ prompts, API + MCP Server access. 14-day money-back guarantee.
Pros
185 principles backed by 2,300+ academic citations, not just opinion
Prompts are pre-formatted for direct use in Claude, Cursor, V0
Developer API and MCP Server for wiring principles into an AI coding workflow
Cons
Built and maintained by a single practitioner, not a larger team — a bus-factor risk for long-term updates
Less useful if you don't actively design/code with AI tools
Text/research-based approach, not a visual pattern library like Mobbin