MVP Layout Designer

summary

A web app to create and visualize MVP layouts with drag-and-drop elements.

prompt

Create a simple web application that allows startups to create and visualize MVP layouts using drag-and-drop elements.

### Features
- The application should provide a user-friendly interface where startups can drag and drop elements such as buttons, text fields, and images to design their MVP layouts.
- Users should have the ability to save their work, export the created layouts, or publish them directly from the application.
- The drag-and-drop functionality must be intuitive, allowing users to easily manipulate the elements around the design canvas.

### Layout
- The application should feature a main design canvas area where users can arrange their selected elements.
- A sidebar or toolbar should be present, listing all available elements (buttons, text fields, images) that can be dragged into the main canvas.
- Provide a top menu or tool panel for actions like 'Save', 'Export', and 'Publish' for easy access.

### Interaction
- Ensure that users receive immediate visual feedback when they drag elements into the canvas.
- Implement functionality for users to preview their layout designs before saving or exporting.

### Best Practices
- Maintain a clean and organized UI to enhance user experience.
- Implement dynamic resizing so that layouts can adapt to different screen sizes if necessary.
- Consider responsive design principles to ensure usability on various devices.
- Security features should be included, preventing unauthorized access to users' MVP layouts.
- Application should run smoothly without noticeable lag in dragging and dropping actions.

original prompt

Создайте простое веб-приложение, позволяющее стартапам создавать и визуализировать макеты MVP с помощью перетаскивания элементов 


Q: Какие элементы можно перетаскивать для создания макетов?
A: Кнопки, текстовые поля, изображения

Q: Как пользователи будут взаимодействовать с макетом после его создания?
A: Сохранение, экспорт или публикация макета

generation cost summary

model name: o3-mini-high

response time: 62.60 sec.

result tokens: 8,724

cost: $0.03907640