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Lovable Prompt Generator for E-commerce
Describe your e-commerce 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
Build an online storefront for a small handmade-candle brand for gift shoppers on mobile. Core features: 1. Product grid with filters and sorting 2. Product page with variant picker and add-to-cart 3. Slide-out cart with quantity controls 4. Checkout form (address + payment placeholder) 5. Order confirmation Pages / screens: - Shop - Product - Cart - Checkout - Confirmation Design: - Minimal, image-first and fast - Responsive on mobile and desktop, accessible (WCAG AA) Tech & data: - Next.js + Tailwind CSS with a Stripe or Razorpay checkout placeholder - 20 products, 3 scents per candle, free shipping over $50 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.
- ›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.
E-commerce prompt types
Choose a prompt type for e-commerce; each comes with an expert role, context rules and an output format:
- Online store storefront — for example “an online storefront for a small handmade-candle brand”.
Example output for Lovable:
Build an online storefront for a small handmade-candle brand for gift shoppers on mobile. Core features: 1. Product grid with filters and sorting 2. Product page with variant picker and add-to-cart 3. Slide-out cart with quantity controls 4. Checkout form (address + payment placeholder) 5. Order confirmation Pages / screens: - Shop - Product - Cart - Checkout - Confirmation Design: - Minimal, image-first and fast - Responsive on mobile and desktop, accessible (WCAG AA) Tech & data: - Next.js + Tailwind CSS with a Stripe or Razorpay checkout placeholder - 20 products, 3 scents per candle, free shipping over $50 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 |