The AI designer that works directly on your live web application to perfectly match your existing product's look and feel.
Watch as our AI assistant analyzes your existing design context and helps your team generate new components that perfectly match your product's look and feel.
Enter any URL, log in, and use our inspector-like UI to select parts of your live product for AI-powered modifications.
Deeply understands your existing UX patterns and brand identity to produce designs that are entirely consistent.
Tag our AI in Slack with design requests. Get asynchronous design work done while you focus on other tasks.
Clean, well-structured HTML/CSS that makes it trivial for engineers to implement correctly.
AI validates its own work by spinning up hundreds of synthetic users to test for UX friction.
Reverse-engineered mental models of elite product thinkers into AI that makes taste-driven decisions.
As AI continues to democratize coding with tools like Cursor, the bottleneck shifts to design velocity. Designers, PMs, and founders are overwhelmed with requests, forced to work overtime or compromise on quality to meet deadlines.
Most "prompt-to-code" tools are novelties for prototyping
They don't address maintaining and improving existing products
Design teams are overwhelmed with requests
For product managers to iterate fast and define clear requirements for the engineering team
Require code access, developer focus
For 0 to 1, little control
Analyzing your product...
"I've analyzed your landing page. The hero section could benefit from a more prominent CTA button with better contrast. Here's my suggestion..."
We're building an AI design assistant that works alongside your design team—an AI partner you'll tag in Slack, that helps with research, generates design variations, and suggests UX improvements to accelerate your workflow.
Works directly on your live web application
Generates clean, instructive code for immediate implementation
Accelerates design workflow and iteration
Faster design iteration
Annual design team value
AI design availability
Context-aware output