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Lovable Prompt Generator
Describe your 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 a habit-tracker web app for people building daily routines. Core features: 1. The core workflow, working end to end 2. Responsive layout for mobile and desktop 3. Form validation with helpful error messages 4. Empty, loading and error states Pages / screens: - Main screen - Detail / edit view - Settings Design: - Clean, modern and accessible (WCAG AA contrast, keyboard friendly) - Responsive on mobile and desktop, accessible (WCAG AA) Tech & data: - React + Tailwind CSS - Streaks, daily reminders, dark mode, data saved locally 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.
Ready-made prompt types
Choose a prompt type for your task; each comes with an expert role, context rules and an output format:
- Web app — for example “a habit-tracker web app”.
Example output for Lovable:
Build a habit-tracker web app for people building daily routines. Core features: 1. The core workflow, working end to end 2. Responsive layout for mobile and desktop 3. Form validation with helpful error messages 4. Empty, loading and error states Pages / screens: - Main screen - Detail / edit view - Settings Design: - Clean, modern and accessible (WCAG AA contrast, keyboard friendly) - Responsive on mobile and desktop, accessible (WCAG AA) Tech & data: - React + Tailwind CSS - Streaks, daily reminders, dark mode, data saved locally 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 |