What problem does it solve?
Provide structured, director-level feedback on designs by combining an independent LLM design review with deterministic automated detection so teams can quickly find high-impact usability, accessibility, and AI-generated "slop" issues and know exactly what to fix first.
Core Features & Use Cases
- Dual independent assessments: Runs an LLM-led design review and a deterministic detector (impeccable) independently to avoid bias and surface different classes of issues.
- Heuristics & cognitive-load scoring: Produces Nielsen heuristic scores, an 8-point cognitive load assessment, and counts of decision points to quantify UX health.
- Persona-based and edge-case testing: Walks the product through relevant personas and deliberate stress tests to reveal real-world failure modes.
- Combined, prioritized report: Synthesizes findings, reconciles false positives, lists P0–P3 issues with why/fix/command mappings, and asks focused follow-up questions.
- Use Case: Run on a marketing landing page, a settings screen, or a component library to get a prioritized action plan and commands to execute targeted fixes.
Quick Start
Ask critique to review https://example.com/settings and produce a combined LLM and detector-based UX report with Nielsen heuristic scores, cognitive-load results, and prioritized P0–P3 fixes.