A design system for tools that deal with structured data and AI visibility. Professional without being corporate. Considered without being cold. Every decision below is intentional — no gradients for the sake of it, no decoration without purpose.
[data-theme="dark"]. Never pure black — #141413 base. Shadows increase opacity. Logo crossfades to warm variant. Accents stay constant, only surfaces and text invert.
Dark surfaces
Sunken #0e0e0d Base #141413 Raised #1e1d1b Hover #2a2926 Border #2e2d2a
Dark text
Primary #f0ede6 Secondary #a09c92 Tertiary #706c63 — accent-soft tokens increase to 0.12 opacity
Elevation
Three layers: sunken (#f2efe9) → base (#faf8f5) → raised (#ffffff). Inset shadow for recessed tracks.
Buttons
scale(0.97) on :active. Primary fills accent. Secondary outlines. Ghost disappears. All three respond to press.
An earthy, Anthropic-informed palette that feels approachable without leaning startup. Warm off-whites and deep charcoals ground everything, with terracotta as the primary accent.
DM Serif Display for editorial warmth, DM Sans for clean body copy, JetBrains Mono for data and code. A major-third scale (1.25) keeps things measured.
Everything aligns to an 8-point grid. Consistent vertical and horizontal rhythm creates a sense of calm and order without visible rigidity.
Phosphor gives us a single icon rendered across thin, light, regular, bold, fill, and duotone. One icon family for every context.
Every loading state should feel calm and intentional. Determinate bars for known progress, skeletons for content, spinners for quick actions.
Qwen3-VL fine-tuned with QLoRA on validated schema examples. Training runs on A100 pods via RunPod.
Cloudflare Workers detect bot traffic and inject schema from the canonical R2 layer — no JavaScript required.
Every generated schema is validated against schema.org specs before deployment. Invalid output is caught and retried.
Charts should communicate a single insight immediately. Restrained colour, generous whitespace, and typography that supports the data rather than competing with it.
Notifications use colour and iconography to signal severity at a glance. The text explains what happened and what to do next. Dismissable by default.
Slide in from the right, auto-dismiss after 5 seconds. Stack when multiple are active. Try them:
Tables use mono for numbers and metrics, hover states for row focus, and subtle borders that don't compete with the data. Position badges highlight top performers.
| Query | Searches | Position | Trend | Updated |
|---|---|---|---|---|
| AI-powered GEO optimization | 156 | #3 | +2 | 2 hours ago |
| Business visibility tracking | 134 | #7 | −1 | 4 hours ago |
| Local SEO analysis tools | 98 | #5 | +3 | 6 hours ago |
| Geographic search optimization | 87 | #12 | +5 | 8 hours ago |
| Schema markup generation | 212 | #2 | +1 | 1 hour ago |
| Structured data best practices | 64 | #18 | −3 | 12 hours ago |
Expandable sections keep interfaces clean. The chevron rotation gives immediate feedback about state. Content animates smoothly with max-height transitions.
Screenshots and HTML are processed through the fine-tuned Qwen3-VL model to produce schema.org JSON-LD. Each output is validated against the spec before being written to the canonical layer.
Bot detection at the edge identifies LLM crawlers and injects structured data from the R2 canonical layer. No JavaScript rendering required — schema is served server-side.
Training data is generated using Gemini 2.5 Flash as a teacher model, producing 5,000–7,000 validated examples per run. The student model (Qwen3-VL-4B) is fine-tuned with QLoRA on A100 pods.
Real-time dashboards track schema validation rates, LLM crawler coverage, inference latency, and cost per schema across the full pipeline.
The site chatbot uses asymmetric bubble styling, tool usage cards with distinct icons, and a typing indicator. Hit replay to watch the conversation unfold.
Every transition in the system uses one of these named patterns. They combine a direction, an easing curve, and a duration tier. Click each to see it play.
| Pattern | Keyframe | Duration | Easing | Use for |
|---|---|---|---|---|
| Fade in | fadeIn | 200–400ms | ease-out | Overlays, image reveals |
| Slide up | slideInUp | 300–500ms | ease-out | Sections, cards, modals |
| Slide right | slideInRight | 400ms | ease-out | Toasts, side panels |
| Slide left | slideInLeft | 400ms | ease-out | Navigation, drawers |
| Scale in | scaleIn | 300ms | ease-out | Modals, popups, tooltips |
| Stagger | fadeUp | 500ms | ease-out | Page load, list items (+50ms per child) |
| Press | — | instant | — | Buttons, chips (:active → scale 0.97) |
| Expand | max-height | 350ms | ease-out | Dropdowns, accordions |
| Spin | rotate(180°) | 300ms | ease-out | Chevrons, disclosure arrows |
Two typographic registers for two contexts. The product UI uses Plus Jakarta Sans for its tighter, more contemporary feel. Blog posts, docs, and marketing use DM Sans and DM Serif Display for editorial warmth.