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v0 Prompt Generator for Restaurants & Food
Describe your restaurants & food task in plain words and get an engineered v0 prompt — a product spec: features, screens, design and tech stack. Switch to any of 32 AIs to see the same request rewritten for that model. Free, private and instant.
v0 prompt generator
Build a restaurant website with online ordering for local diners ordering on their phones. Core features: 1. Menu with categories and dietary filters 2. Online ordering cart with pickup and delivery 3. Table reservation form 4. Opening hours and map 5. Reviews section Pages / screens: - Home - Menu - Order - Reservations Design: - Warm and appetising, led by big food photography - Responsive on mobile and desktop, accessible (WCAG AA) Tech & data: - Next.js + Tailwind CSS - WhatsApp order confirmation; menu managed from a JSON file Start with a working MVP of the core flow using realistic sample data, then tell me the 3 most valuable next steps. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
- ›v0 builds React with Tailwind CSS and shadcn/ui — describe components and their states.
- ›Attach a screenshot or design frame for a closer visual match.
- ›Ask for responsive and dark-mode variants explicitly.
How the v0 prompt is structured
v0 builds whole apps from one prompt, so the generator writes a product spec — users, core features, screens, design and tech stack — and asks for an MVP first.
Every prompt is built from the same modular parts — role, task, context (your audience and details) and output format — then rendered in the style each AI follows best. Change the AI in the drop-down and the same request is rewritten instantly.
v0 prompting tips
- v0 builds React with Tailwind CSS and shadcn/ui — describe components and their states.
- Attach a screenshot or design frame for a closer visual match.
- Ask for responsive and dark-mode variants explicitly.
Restaurants & Food prompt types
Choose a prompt type for restaurants & food; each comes with an expert role, context rules and an output format:
- Restaurant website with online ordering — for example “a restaurant website with online ordering”.
Example output for v0:
Build a restaurant website with online ordering for local diners ordering on their phones. Core features: 1. Menu with categories and dietary filters 2. Online ordering cart with pickup and delivery 3. Table reservation form 4. Opening hours and map 5. Reviews section Pages / screens: - Home - Menu - Order - Reservations Design: - Warm and appetising, led by big food photography - Responsive on mobile and desktop, accessible (WCAG AA) Tech & data: - Next.js + Tailwind CSS - WhatsApp order confirmation; menu managed from a JSON file Start with a working MVP of the core flow using realistic sample data, then tell me the 3 most valuable next steps. If anything essential is missing, ask me up to 3 short clarifying questions before you start.
AI coding tools compared
| AI | Made by | Prompt style |
|---|---|---|
| v0 | Vercel | a product spec: features, screens, design and tech stack |
| GitHub Copilot | GitHub | an engineering ticket: goal, context, requirements, constraints and acceptance criteria |
| Cursor | Anysphere | an engineering ticket: goal, context, requirements, constraints and acceptance criteria |
| Lovable | Lovable | a product spec: features, screens, design and tech stack |
| Bolt.new | StackBlitz | a product spec: features, screens, design and tech stack |
| Replit Agent | Replit | a product spec: features, screens, design and tech stack |