From PRD to Prototype with Lovable

Lovable (formerly GPT Engineer) is one of the most popular AI app builders for product managers, and for good reason. It generates full-stack web applications from natural language, handles authentication and database setup, and deploys with one click. Unlike code editors like Cursor that require some familiarity with codebases, Lovable works entirely through conversation. In this guide, we will walk through the complete process of turning a PRD into a working prototype using Lovable. We will use a real example: a simple project management tool for small teams.

Before touching Lovable, prepare your PRD. For this example, our PRD covers a project management tool with these core features: 1. User authentication (email signup/login) 2. Project creation with name and description 3. Task board with kanban columns (To Do, In Progress, Done) 4. Task creation with title, description, assignee, and due date 5. Team member invitation via email The key is structuring this for AI consumption. We break it into: overview, user roles, features with acceptance criteria, data model, and UI description.

Do not paste your entire PRD as the first prompt. Start with the overview and core structure: Build a project management web app for small teams (3-10 people). The app should have: user authentication with email/password, a dashboard showing all projects, and within each project, a kanban task board with columns To Do, In Progress, and Done. Users can create projects, add tasks to the board, and drag tasks between columns. Use a clean, minimal design with a white background, a dark sidebar for navigation, and cards for tasks. Use React, Tailwind CSS, and Supabase for the backend. This gives Lovable enough to build the foundation. Resist the urge to include every detail - we will add complexity iteratively.

After the initial build, add features one at a time through the chat: Round 2: Add task creation with form fields for title, description, assignee, due date, and priority. Round 3: Add project settings page for renaming, descriptions, team member invitations, and deletion. Round 4: Improve the dashboard with project cards showing task counts, last activity, and team avatars. Each iteration builds on the previous one. Review the result, test the functionality, and note what needs fixing before the next prompt.

AI-generated code rarely works perfectly on the first try. Common issues to watch for: UI issues: Make the kanban board horizontally scrollable on mobile with snap scrolling. Functionality gaps: Check that the assignee field saves the user ID correctly to the tasks table. Design polish: Increase sidebar width to 256px. Add 16px padding. Use 12px gap between navigation items. Be specific about what is wrong and what the expected behavior should be.

Once your prototype is functional: 1. Test all core flows end-to-end 2. Check responsive design on mobile and tablet 3. Deploy using Lovable one-click deployment 4. Share the URL with stakeholders and collect feedback 5. Document what is included and what is out of scope Remember: this is a prototype, not production software. The goal is to demonstrate the concept, validate assumptions, and gather feedback.