Krit: The Design Layer Between Your Coding Agent and Product

Krit is the consistency layer for AI-generated product design. It’s a local, agent-native canvas where a prompt becomes interactive, responsive code, then moves through refinement, motion, usability checks, and handoff.

AI UI generators can produce a compelling first screen. The real failure appears as a product grows: repeated prompts generate inconsistent spacing, controls, tone, and visual language across screens.

Krit treats consistency as a system problem. Per-project design tokens, including color, type, radii, shadows, motion, and grammar, are enforced in each sandboxed canvas. The agent generates, while the canvas protects the project’s visual rules.

The longer-term advantage is the judgment layer: accepted, rejected, and overridden design decisions create a record of what fits a product’s visual language.

Krit is designed for more than static mockups:

Interactive, responsive screens rendered as live code

Prompted motion, including SVG animation

Storyboards that export into launch video

Usability passes that surface structured findings

I shaped the product direction, interaction model, and product experience, then built and tested it directly in code.

See the live product: https://krit.design/