The short answer
"Which one is best" is the wrong question — they aren't the same kind of tool. The useful question is: which one does the prompt in your hand belong to?
| Tool | Strength | Prompt that suits it |
|---|---|---|
| v0 (Vercel) | React / Next.js frontend quality, shadcn/ui + Tailwind | Component- and page-level work with high design precision |
| Lovable | Full-stack in one pass, database integration, product-shaped output | A complete MVP with auth and data |
| Bolt | Code-first, easy to take over, fast iteration | Projects you intend to keep coding yourself |
v0: the most reliable frontend output
v0 started as a UI component generator and, after becoming v0.app in early 2026, positions itself around full-stack work. Its frontend output is still where it's strongest: clean React and Next.js, defaulting to shadcn/ui and Tailwind.
How to write for it: go granular. Component hierarchy, spacing, hover states, responsive breakpoints — the more precisely you specify, the more it delivers.
Hero: two columns. Left 60% holds the headline and CTA, right 40% holds the product screenshot. Headline 48px/1.1, dropping to 32px and stacking to one column on mobile.
What not to expect: a fully wired backend, auth and database in one shot.
Lovable: when you need a working product
Lovable takes a design-first, full-stack route with database integration and GitHub sync. It fits "I need an MVP where people can sign up and data persists" better than "I need a beautiful landing page".
How to write for it: describe the data and the flow before the interface.
Roles: coach, member. Coaches create sessions; members book sessions and view their bookings. Tables: users, sessions, bookings. UI: start with the member-facing session list and booking detail page.
What not to do: dump ten features into one prompt. Lovable is strongest on one clearly bounded slice.
Bolt: when you're taking over the code
Bolt is code-first. It scaffolds quickly and the result is comfortable to edit. If a human will keep building on this project, Bolt's output is usually the easiest to inherit.
How to write for it: pin the stack.
Use Vite + React + TypeScript. State via zustand. No additional UI library. Styling with Tailwind only.
Same requirement, three rewrites
Take "a booking page for a personal training studio":
- For v0: lean into visual spec — hex values, type scale, spacing, breakpoints, hover states.
- For Lovable: lean into the data model — roles, tables, what happens after a booking succeeds.
- For Bolt: lean into technical constraints — dependency list, folder structure, what not to import.
The skeleton is reusable; the emphasis must change. That's exactly why every prompt on this site is tagged with the tools it's written for.
A counterintuitive finding
Multiple head-to-head comparisons report the same thing: letting an AI expand your rough requirement into a structured prompt tends to beat the prompt a human writes by hand.
The reason isn't mysterious. People silently omit anything that feels obvious to them. Models don't. So a pragmatic workflow is:
- Describe what you want in plain language (3–5 sentences)
- Ask a model to expand it into product / audience / sections / style / colour / constraints
- Review that expansion and correct what it guessed wrong
- Feed the final version to your builder
Step 3 is not optional. Fabricated numbers and client names are exactly what the expansion step loves to invent.
Rather not run the expansion loop every time? Every prompt on MotionSites is tagged with its target tool and ready to paste.