Inspiration tag · 5 sites catalogued
Ai marketing pages
5 sites in our growing collection share the ai signal — Flora, Interfere, xAI, and 2 more. Each catalogued page carries a paste-ready 24-field design brief — palette, typography, spacing, motion — that an AI agent can drop into Claude, Cursor, or v0.
Full Page · both
Flora
Dark-first AI-creative landing that inherits the post-Vercel design language and applies it to a creative-tool audience. Geist Variable as the entire type stack, classic web blue #0000ee as the only functional accent, twelve Framer Motion atmospheric gradients holding ambient depth. Coherent technical confidence for a buyer who recognises Geist on sight.
Full Page · light
Interfere
Dark-first editorial-typography canvas for the AI experimentation platform. Six-font museum — Inter + Berkeley Mono + Heldane Text + Redaction + Departure Mono — each one assigned exactly one register. Six-accent spectrum (yellow, green, blue, pink, purple, royal blue) breaks up the dark like a tasting menu. Twelve atmospheric Framer Motion gradients hold ambient depth without ever becoming fills.
Full Page · light
xAI
Pure-black foundation-model marketing — single sans-serif family, zero illustration, near-zero motion. xAI sells confidence through absence and proves that a category-leading AI company can afford to say nothing more than what it has to say. The taste is in what isn't shown.
Full Page · light
ElevenLabs
Cinematic dark-canvas AI-voice marketing — purple-gradient hero with near-monochrome scroll body, waveform motif as both decoration and live product demo, and theatrical 3-5 second opening animation that proves voice expressiveness. The page is a trailer; everything downstream earns its calmer pacing.
Full Page · both
V7 Labs
Technical light-canvas enterprise-AI marketing — sharp geometric sans, electric-blue accent reserved for decision moments, dark product-screenshot insets juxtaposed against the calm light surface. V7 sells ML infrastructure with the specificity of real annotation overlays and dataset metrics, not generic 'AI futuristic' visual cliches.