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Lovable Prompt Generator for Restaurants & Food
Describe your restaurants & food task in plain words and get an engineered Lovable 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.
Lovable prompt generator
Lovable · spec
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.
753 chars · ~188 tokens
Open Lovable
- ›Start with the core screens; add features in small follow-up prompts.
- ›Ask for sign-in and a database only when you need them — Lovable can set up the backend.
- ›Use chat/plan mode to agree on the approach before Lovable edits code.
How the Lovable prompt is structured
Lovable 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.
Lovable prompting tips
- Start with the core screens; add features in small follow-up prompts.
- Ask for sign-in and a database only when you need them — Lovable can set up the backend.
- Use chat/plan mode to agree on the approach before Lovable edits code.
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 Lovable:
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 |
|---|---|---|
| Lovable | Lovable | 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 |
| Bolt.new | StackBlitz | a product spec: features, screens, design and tech stack |
| v0 | Vercel | a product spec: features, screens, design and tech stack |
| Replit Agent | Replit | a product spec: features, screens, design and tech stack |
Frequently asked questions
What is a Lovable prompt generator?
It turns a plain-language request into a structured prompt — role, task, context and output format — written the way Lovable follows best, so you get better answers on the first try.
Does this tool send my text to Lovable?
No. The prompt is assembled in your browser from templates. Nothing you type is sent to any server or AI until you paste it yourself.
Why does the prompt change when I switch AI?
Models are trained on different conventions: Claude responds well to XML tags, Gemini to Persona/Task/Context/Format, Midjourney to descriptors and --parameters, Suno to style tags and a lyric sheet. The generator rewrites the same request for each.
What if I leave a field empty?
The example shown in grey is used instead, so the prompt is always complete. Replace it with your own details for the best results.
Can I use these prompts for other restaurants & food tasks?
Yes. Pick the closest prompt type and describe your own task — the restaurants & food expertise in the role and context still applies.
Is the prompt generator free?
Yes — free, unlimited and no account needed.