FlowOS

An AI-native, generative UI operating system that transforms natural language prompts into fully functional, production-ready user interfaces in real-time. Powered by LLMs, role-based multi-agent orchestration, and live component streaming, FlowOS redefines UI/UX design with conversational, prompt-driven productivity — eliminating the need for traditional drag-and-drop builders or manual coding. Designed to accelerate ideation-to-deployment workflows, FlowOS enables designers, developers, and non-technical users alike to generate composable dashboards, layouts, and widgets in seconds.

Project Details

Engineered a natural language UI generator leveraging LLMs to interpret design prompts, stream composable components live, and reduce design-to-deploy cycles from hours to minutes.
Built a highly modular component streaming system with 100+ reusable blocks (forms, grids, dashboards, charts, alerts, carousels, task lists) enriched with dynamic props — enabling zero manual configuration.
Integrated role-based multi-agent architecture (UI Designer, Data Analyst, Stylist) to enable specialized agents to co-create UIs, ensuring semantic accuracy, visual balance, and contextual adaptability.
Implemented real-time animations and smooth transitions with Framer Motion, enhancing usability, interactivity, and production-level visual polish.
Optimized collaboration workflows by enabling iterative, conversational UI refinement — where users can adjust layout, styling, and logic through multi-turn natural language dialogue.
Created a no-code, prompt-driven styling pipeline with Tailwind CSS and shadcn/ui, enabling instant theming, responsive layouts, and accessibility-first design.
Successfully validated FlowOS in multiple production scenarios, demonstrating reliability in analytics dashboards, task management tools, and data visualization interfaces.
Deployed scalable architecture with Next.js 14 and Vercel for seamless performance, server-side rendering, and developer-friendly extensibility.