Cheetah Canvas Case Study
Cheetah Canvas Case Study
Cheetah Canvas
Cheetah Canvas
Cheetah Canvas is an AI app builder that turns a plain-English description into a production-ready Next.js application. You describe what you want, watch it render in a live preview, and ship it with one-click deployment to a custom domain. It is the no-code sibling of Cheetah AI, built for people who want real, exportable code without writing it.
Cheetah Canvas is an AI app builder that turns a plain-English description into a production-ready Next.js application. You describe what you want, watch it render in a live preview, and ship it with one-click deployment to a custom domain. It is the no-code sibling of Cheetah AI, built for people who want real, exportable code without writing it.

2026
AI App Builder
Next.js · React · TypeScript · Tailwind CSS · AI code generation · Live preview · One-click Vercel deploys
Live in early access at cheetahcanvas.com, part of the Cheetah AI suite alongside the agentic IDE.
Mission
Mission
Most AI site builders generate something that works but looks generated. With Canvas I wanted the opposite trade: an AI with design sense that produces pages you would actually publish, backed by real Next.js code you can export and own instead of a locked-in page builder.
Most AI site builders generate something that works but looks generated. With Canvas I wanted the opposite trade: an AI with design sense that produces pages you would actually publish, backed by real Next.js code you can export and own instead of a locked-in page builder.

Challenge
Challenge
Turning open-ended prompts into working code is the easy half. The hard half is making the output consistently well-designed and deployable: proper architecture, TypeScript, Tailwind and sane security defaults, with a live preview loop fast enough that iterating by prompt feels like editing instead of waiting.
Turning open-ended prompts into working code is the easy half. The hard half is making the output consistently well-designed and deployable: proper architecture, TypeScript, Tailwind and sane security defaults, with a live preview loop fast enough that iterating by prompt feels like editing instead of waiting.
Solution
Solution
I built a generation pipeline that outputs full Next.js, React and Tailwind apps in TypeScript, holds them to opinionated design and architecture standards, renders every change in a real-time preview, and deploys to Vercel with custom domains, analytics and auto-scaling in one click.
I built a generation pipeline that outputs full Next.js, React and Tailwind apps in TypeScript, holds them to opinionated design and architecture standards, renders every change in a real-time preview, and deploys to Vercel with custom domains, analytics and auto-scaling in one click.


Result
Result
Cheetah Canvas is live in early access at cheetahcanvas.com as part of the Cheetah AI suite, with free and paid tiers and no credit card required to start. Users go from an idea to a deployed, production-ready Next.js app in minutes, with full code export.
Cheetah Canvas is live in early access at cheetahcanvas.com as part of the Cheetah AI suite, with free and paid tiers and no credit card required to start. Users go from an idea to a deployed, production-ready Next.js app in minutes, with full code export.
