MVP Layout Designer
details
summary
A web app to create and visualize MVP layouts with drag-and-drop elements.
tags
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