OJO

5.0 0 reviews
10 Views 2026-09-19
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About This Site

AI platform for creating UI designs, prototypes, and working apps OJO is an AI-native product creation platform and design agent workspace that transforms ideas, prompts, images, URLs, and Figma designs into research-backed UI designs, landing pages, interactive prototypes, production-ready code, and working apps on a shared canvas. It combines idea exploration, product design, prototyping, code generation, live previews, agent skills, and repository integration in one workspace.

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Key Features AI

Core Features
AI-generated UI designs, landing pages, and product prototypes
Conversion of prompts, images, URLs, and Figma designs into interactive prototypes
Customizable AI agent teams with more than 200 types of skills
Infinite canvas for idea exploration, design, prototyping, and live running
Research-backed product requirement, site structure, and UI/UX analysis
Production-ready code generation with repository integration
Live prototype previews and interactive design iteration
Support for advanced models, large context windows, and persistent memory
Export formats, CLI, plugins, and custom model API configuration on eligible plans
Image search and visual DNA generation for design direction
Advantages
Combines research, UI design, prototyping, code generation, and live previews in one workspace
Supports multiple input formats, including prompts, images, URLs, and Figma designs
Offers customizable agent teams and more than 200 skill types
Can produce production-ready code and connect designs to a repository
Includes a free daily credit allowance
Paid plans offer larger credit allowances, advanced models, exports, and collaboration capabilities
缺点:The product is presented as being in private beta and may require waitlist or invite access
缺点:Advanced capabilities and larger credit allowances require a paid subscription
缺点:Free credits require users to log in and claim them daily
缺点:Credit usage varies by task complexity and context size, making consumption less predictable
缺点:Team and enterprise features are not yet available and are listed as coming soon
缺点:Refunds are generally not available except where legally required or specially approved

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