What problem does it solve?
Rapidly identify usability and design quality issues, surface AI-generated design anti-patterns, and translate subjective observations into prioritized, implementable recommendations so teams can improve user experience before release.
Core Features & Use Cases
- AI Slop Detection: Detect fingerprints of AI-generated interfaces (palette, layout, glassmorphism, hero metrics) and call out pervasive anti-patterns.
- Structured Design Review: Assess visual hierarchy, information architecture, emotional resonance, affordance, states, typography, and color with concrete evidence and impact.
- Actionable Report: Produce a director-style critique with an anti-pattern verdict, overall impression, prioritized issues with fixes and specific commands to apply.
Quick Start
Please critique the onboarding flow, focusing on visual hierarchy, information architecture, and detection of AI-generated anti-patterns.