UXXRAY · Teardown dossier ◉ scanned Jul 14, 2026
87% of measurable text passes WCAG AA — 4+ runs fail. Raise text/background contrast to ≥4.5:1 (≥3:1 for large text), especially on CTAs and body copy.
20 /100
No signals detected for this category on the captured funnel.
Not detected: pricing tiers.
Not detected: proof above the fold, free trial / freemium, and demo / docs entry.
No signals detected for this category on the captured funnel.
Not detected: trusted-by logo wall and usage / adoption proof.
Not detected: free trial / freemium.
No signals detected for this category on the captured funnel.
Not detected: us-vs-them comparison and usage / adoption proof.
Measured UX quality — flags, not opinions. Deterministic, evidence-backed, and kept separate from the conversion score.
87% of measurable text passes WCAG AA — 4+ runs fail.
worst: “$297” at 2.62:1 (24px, #4b5563 on #0a0a0a) — needs 3:1
Raise text/background contrast to ≥4.5:1 (≥3:1 for large text), especially on CTAs and body copy.
Responsive viewport meta is present.
Smallest body text is 10px (base ~21px) — below the ~16px readable floor.
Keep body copy ≥15–16px; reserve sub-13px for fine print only.
12 paragraphs run past ~95 characters per line.
Cap measure at ~60–75ch for comfortable reading.
html[lang] is set for screen readers.
All 3 content images carry alt text.
1 of 2 form fields have no label.
Give every input a <label> or aria-label; placeholders are not labels.
Next move
Paste any URL. We’ll run the same scan, the same rubric, and put the two funnels side by side — category by category, all measured.
Live scan · 15–25 sec · same rubric · nothing is guessed
Body copy in their text role, on a surface card.
Body copy set at their measured paragraph size. This is how their product reads to a first-time visitor — same family, same scale, same weight.
# Agent Brief — build in the style of prop24ai.com > Machine-extracted from a live on-demand funnel teardown (2026-07-14). 100% facts — > measured tokens, detected patterns, harvested proof strings. No LLM interpretation. > Single-page capture (MVP): homepage/landing page only, no funnel walk. > Tokens: `tokens.json` / `tailwind.css`. **Category (label):** — **Funnel:** Homepage / Lander ## Palette (area-weighted from live CSS) | Hex | Usage | Likely role | |-----|------:|-------------| | `#030303` | 48.6% | support | | `#ffffff` | 28% | background | | `#111111` | 9% | support | | `#2563eb` | 5.5% | accent/brand | | `#3b82f6` | 5.4% | accent/brand | | `#0a0a0a` | 3.4% | support | Curated roles: `primary=#2563eb` · `accent=#2563eb` · `bg=#ffffff` · `surface=#ffffff` · `text=#d1d5db` ## Type - Display: `Inter` - Body: `Inter` - Size scale (px): 10, 11, 12, 14, 15, 16, 18, 21, 24, 29, 32, 48 - Radius (px): 8, 12, 16, 20, 24, 32 ## Patterns detected (fact-based) — 2/9 - **FAQ / objection handling** — An accordion / FAQ block answering objections. _(home: What do I receive exactly? +)_ - **Lead-capture form** — An on-page form collecting contact details (email / name / phone) outside a checkout. _(home: email, select)_ ## Proof language (harvested strings → templates) - _(none extracted)_ ## Funnel facts - Depth reached: 1 step(s) (single-page MVP capture) - Proof points: 0 across 0 step(s) - Discount/anchor pricing: yes · Countdown: no · Subscription: yes ## To replicate Match the palette + type tokens above and deploy the detected patterns. This is a single-page capture — no cart/checkout tactics were evaluated.