How our AI works

One engine. Every signal, verified.

Corexi doesn't guess. It captures your live product, analyzes it with vision AI, verifies every accessibility claim with axe-core, fuses behavioral data to find the friction costing you conversions, and ships fix-ready code. Here's how.

Live in production9 MCP tools across 6 IDEscursor.directory listed

The pipeline

From URL to fix-ready code in under 60 seconds.

Capture

~3–8s

Playwright renders your product at desktop (1440px) and mobile (390px). Multi-state probes test focus indicators, modals and form validation. Bot-protection bypass with fallback chains. Not a static screenshot — a living render.

Analyze

~8–15s

Claude Sonnet reads the rendered UI like a UX expert across 9 categories. axe-core runs in parallel, cross-checking every accessibility finding against WCAG 2.2 — 27 rule IDs verified. No hallucination passes unchecked.

Fuse

~1–3s

Behavioral signals from up to 7 analytics providers merge with visual findings. The Pulse UX Engine computes the weighted UX Score, neurodiversity scores, and ties every finding to conversion impact. Each scan accumulates context, compounding accuracy over time.

Ship

~2–5s

Every finding ships with fix-ready code that respects your design tokens. Choose your output: direct fix code, IDE-tailored prompts, bulk export, or MCP delivery — plus a report with annotated screenshots and bounding boxes.

What makes it different

Six things no other tool combines.

Verified, not guessed

Every accessibility finding is cross-checked against axe-core. Verified claims carry a badge; LLM-only claims stay flagged. You always know the confidence level.

Gets smarter over time

Each scan feeds the engine six signals — tech stack, design tokens, growth goal, UI state, behavioral snapshots and prior history. The layer learns your product.

Design-token-aware

Upload CSS variables, Tailwind theme or Style Dictionary. Fix code outputs var(--your-token), not hardcoded values. Colors matched by perceptual distance (ΔE ≤ 6).

Not a black box

Every score traces to a named research source — Nielsen Norman, Baymard, WCAG 2.2, Fitts, Miller, BDA, CUD. 200+ peer-reviewed sources, all auditable.

Proactive, not just reactive

get_ux_rules gives the agent UX patterns before writing code; review_code checks the result before commit. No other tool offers pre-coding UX guidance inside the IDE.

Neurodiversity as first-class

Color Vision Deficiency and Dyslexia Readability are scored as dedicated categories. WCAG covers compliance; Corexi covers whether real people can convert.

By the numbers

Measured, not marketing.

200+

Research sources

NN/g, Baymard, WCAG 2.2, Fitts, Miller, BDA, CUD

Evaluation categories

9 core UX + CVD + Dyslexia

Analytics providers

GA4, PostHog, Clarity, Hotjar, Mixpanel, Amplitude, Firebase

MCP tools

Across 6 IDEs, live on cursor.directory

axe-core rules

Cross-checked on every accessibility finding

92.9%

Eval recall

Must-detect findings, CI-gated baseline

Honest about limitations

What we can and cannot do.

Dynamic content

Corexi captures initial render + multi-state probes (focus, modal, form validation). Infinite scroll and deep lazy-loaded content may need multiple scans.

AI accuracy

Strong on structural issues (contrast, spacing, hierarchy). Subjective design quality is harder — every finding shows evidence so you can verify. Eval baseline: 92.9% recall.

Authenticated pages

Currently public pages only. Authenticated scanning is on the roadmap.

Data handling

Cookieless capture, no tracking scripts required. Screenshots processed in memory, encrypted at rest. Analytics via read-only OAuth. We never modify your analytics or codebase.

Try it yourself.

Paste a code snippet in the live demo or sign up to scan your product.

Try the live demo See the methodology