Krit vs v0: one-shot generation vs a design environment
v0 is genuinely good at what it does: type a prompt, get a React component built on shadcn/ui. I use it as a compliment, not a setup. But there is a difference between a generator that hands you a screen and an environment where a product gets designed, and that difference is what this page is about.
A vending machine and a workshop are both useful, differently
v0 is a generator. You describe a component or a screen, it produces one, you copy the code out. Each generation is a transaction: prompt in, output out, and the tool's memory of your product mostly ends when the chat does. That shape is perfect for grabbing one good component fast. It gets painful when you are forty screens into a real product and every screen was a separate roll of the dice.
Krit is the design layer for agent-built apps. It is a persistent infinite canvas where your own agent, the one already in your codebase, designs real interactive screens. Your brand gets captured as rules the agent follows, the canvas remembers everything it has made, and screen 40 is held to the same system as screen 1. You are not re-prompting a stranger every morning. You are working in a place.
What matters
Krit
v0
What it makes
Whole products designed as real interactive screens
One component or screen per generation
Design language
Your brand, captured as rules the agent follows
shadcn/ui by default, restyling is on you
Persistence
A canvas that accumulates and remembers your product
Chat threads of one-off generations
Consistency across screens
Screen 40 matches screen 1 by design
Each generation can drift, you reconcile
Which agent drives it
Yours: Claude Code, Cursor, whatever you already run
v0's own model loop
Export targets
HTML/CSS, React, Next.js, or Vue
React with shadcn/ui, at home on Next.js
Best for
Teams designing a whole product with agents
Grabbing one good component or exploring fast
The shadcn look is real, and buyers can see it
shadcn/ui is excellent. That is exactly the problem. Because it is excellent and free and the default output of most generators, an enormous number of AI-built apps now ship the same cards, the same buttons, the same muted gray-on-white rhythm. Your product, your competitor's product, and a weekend side project all converge on one look. Users may not know the word shadcn, but they have seen the pattern a hundred times, and it quietly reads as template.
This is not v0's fault and it is not something a better prompt fixes. A generator that starts from a shared component library will produce work in that library's accent. Getting out of it means doing real design system work on top of every output, which is precisely the work you were hoping to skip. Krit attacks this at the root: your brand, your type, your spacing, your restraint get captured as rules, and every screen the agent designs is held to them. The output looks like your company, not like the toolkit everyone shares.
One-shot generation vs a place where work accumulates
A generation tool answers a question. A workspace holds a body of work. When your product is one screen, the difference is invisible. When it is a real app, the difference is everything, because the hard part of product design was never producing screen one. It is producing screen forty in a way that still agrees with screen one.
In a one-shot tool, the burden of coherence is on you. You paste context back in, you re-explain the conventions, you eyeball new output against old output, and drift creeps in anyway because every generation starts closer to zero than you would like. On Krit's canvas, nothing starts from zero. The screens already designed are right there, the rules are standing, and the agent designs the next screen inside the same system. Consistency stops being a manual reconciliation job and becomes a property of the environment.
Whose agent is doing the designing
v0 is its own loop. You talk to v0's model, it generates, and the intelligence doing the work lives inside Vercel's product. That is convenient, but it means the agent designing your UI is not the agent that knows your codebase, your naming, your constraints, or anything you have taught it over months of working together.
Krit takes the opposite position: bring your own agent. Claude Code, Cursor, whichever agent already builds your app, connects to the canvas and designs on it directly. The same agent that knows your data model and your conventions is the one drawing the screens, and everything it learns about your product design stays with the agent you keep. To me this is the deepest difference on the page. Tools come and go. The agent relationship you are building is becoming a real asset, and I would rather deepen yours than rent you mine.
Code out is table stakes, the design layer is the product
Both tools end in code, so that is not the fight. v0 hands you React with shadcn components, and if you are on Next.js it drops in cleanly. Krit exports HTML/CSS, React, Next.js, or Vue, and the screens are real interactive surfaces before export, not mockups pretending to be.
The fight is what happens before the code. A generator gives you output. Krit gives you a design layer: the standing set of rules, screens, and decisions that make the next screen cheap and the whole product coherent. That layer is the thing agent-built apps are missing today, and it is the thing you keep as your product grows.
BE HONEST
When v0 is still the right call
If you are already on Next.js with shadcn/ui and you need one solid component this afternoon, use v0. It will get you there faster than anything else, and the output will drop straight into your stack. Same answer if you are exploring layout ideas and want ten cheap variations before lunch: a fast generator is the right tool for divergent exploration.
And if your team is Vercel-native end to end, v0 sitting inside that ecosystem is a genuine convenience I will not argue you out of. Where I will argue is the moment the job changes from generating a screen to designing a product: many screens, one brand, over months, with your own agent doing the work. That is not a generation problem. That is a design layer problem, and it is the one Krit exists to solve.
BUILD IT ON THE CANVAS
Tell your agent what to design. Watch it appear.
Stop drawing it by hand or designing it blind. Direct an agent on a real canvas and leave with code.