Design Intelligence Layer for AI Builders

Catch what's wrong with your AI-generated UI before users do

AI builders move fast. The output often drifts — spacing breaks, hierarchy weakens, components go inconsistent. AIDQA measures objective design signals and tells you exactly what to fix.

Not taste. Not opinion. Measurable issues: contrast ratios, spacing rhythm, alignment offsets, accessibility thresholds.

Works with screenshots and live URLsNo design system required to startChecks layout, hierarchy, consistency, and accessibility riskReturns findings in under 60 seconds

AI UI is fast. The quality gap is real.

AI builders can generate a screen in seconds. But the output usually lands in a dangerous middle zone: looks almost right, but something measurably isn't.

Layout and spacing break silently

Spacing drifts between sections. Alignment offsets appear. Components that should match don't. None of it triggers an error.

Users notice before you do.

Hierarchy collapses under pressure

The primary action competes with secondary content. Heading sizes blend together. The eye has nowhere to go.

Conversion drops. Trust erodes.

Accessibility risks ship quietly

Contrast ratios fall below WCAG AA. Touch targets shrink below 44px. These don't fail visually — they fail people.

Legal exposure. Real users excluded.

Experienced designers catch this in a review. Most builders don't have one. The cost is design debt that compounds with every iteration — and a product that feels slightly off before a single word is read.

The missing QA layer between AI generation and production

AIDQA is not a screenshot diff tool. It doesn't require a baseline. It inspects your interface against internal consistency, design rules, and accessibility thresholds — then returns prioritized findings with evidence and repair guidance.

Design QA for AI-generated interfaces means:

No baseline required inspects internal consistency, design rules, and accessibility thresholds — works on screen one of a project

Prioritized findings with evidence each issue includes an evidence region, explanation of impact, and concrete repair guidance

The step most teams skip Idea → AI generation → Design QA → Refinement → Production. AIDQA is the QA layer that fits fast workflows

How it works

Submit → Inspect → Fix. No setup required.

Submit a URL or screenshot

URL, AIDQA renders a normalized frame and extracts structural metadata.

Automated inspection runs

Checks layout, hierarchy, consistency, accessibility, and design-system patterns. No baseline required.

Get prioritized findings

3–7 findings ranked by severity, each with an evidence region, explanation of impact, and concrete repair guidance.

What it catches

AIDQA runs automated design QA for AI-generated interfaces across three dimensions:

Layout & spacing

Flags rhythm breaks, edge misalignment, and whitespace imbalance. Every spacing gap that doesn't fit the dominant scale gets surfaced.

Hierarchy & consistency

Detects weak primary actions, heading scale failures, button style drift, and card component variance. Finds where repeated elements stopped being consistent.

Accessibility risk

Catches text contrast failures below WCAG AA (4.5:1), touch targets smaller than 44×44px, and missing state coverage before they reach users.

What ships better when you add this layer

One "looks broken" moment from a user costs more than the tool. Here's what AIDQA catches before it gets there.

Protect revenue flows

Catch layout drift and broken interactive patterns before they cost conversions.

Save review time every iteration

Replace manual visual checks with a structured scan and a prioritized fix list.

Avoid trust-killing inconsistency

A product can function correctly but still feel unreliable. AIDQA catches the gap.

Catch accessibility risk early

Surface contrast failures below WCAG AA and touch targets below 44×44px before handoff.

Ship with objective confidence

Fewer missed issues, fewer regressions, fewer post-ship corrections.

One prevented broken release pays for AIDQA.

Used by indie hackers and startup teams building with v0, Lovable, and Cursor.

Built for teams shipping UI fast

Indie hackers and solo builders

Using v0, Lovable, or Cursor — who can tell the output feels off but can't diagnose why.

Get a prioritized fix list without hiring a designer.

Startup product teams

Generating UI quickly without strong design review processes.

Catch issues before handoff, not after launch.

Frontend and design engineers

Who want objective signals before a PR ships a visual regression.

Replace manual pre-release visual checks with a structured scan.

Design systems teams

Who need consistency enforcement without auditing every AI-generated screen manually.

Surface component drift and token violations at scale.

Play
the game

See an AIDQA report in 60 seconds

Submit a URL or screenshot. Get prioritized findings with evidence regions and repair guidance — no setup required.

Generate UI fast. Ship it right.

AIDQA is the design QA layer that catches what AI builders miss — before your users feel it.

Simple pricing

Start free. Pay when it saves you more than it costs.

starter

$0free

Try the scanner. No card required.

✓3 scans included
✓URL and screenshot input
✓Prioritized findings with evidence
✓Repair guidance per finding

Join the waitlist

Get early access to the scanner, sample reports, and priority onboarding.

No spam. Limited early slots. We'll email you when your invite is ready.