What problem does it solve?
It solves the tendency of generic AI UI outputs to produce biased, low-quality layouts with cramped typography, empty bento grids, and repetitive motion patterns.
Core Features & Use Cases
- AIDA-first page architecture: Forces a Navigation + Attention (Hero) + Interest (Bento/Features) + Desire (GSAP reveals/pinning) + Action (CTA/Footer) structure with cinematic spacing.
- Python-driven deterministic variation: Uses a simulated RNG approach to vary hero architecture, typography stack, component architectures, and GSAP paradigms while preventing repeated designs.
- Mathematically dense bento grids: Applies gapless grid execution via dense grid flow and careful span interlocking to eliminate empty cells.
- Advanced GSAP motion requirements: Enforces ScrollTrigger pinning/stacking/scrubbing, hover physics, scroll fades/scales, and text reveal scrubbing.
- Professional typography and constraints: Prevents narrow-container 6-line headings, bans meta-labels, and ensures readable button contrast.
Quick Start
Ask gpt-taste to generate an AWWWARDS-level, AIDA-structured, GSAP-motion-rich landing page with wide 2–3 line hero typography and gapless bento grids for your chosen product theme.