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LUME — a Tauri desktop that tiles terminals beside Markdown, built for running multiple AI agents in one workspace. Ships work in parallel instead of context-switching between windows and docs.
The network for creativity
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Two templates in with Cobi Studio. The third is already on the way. 👀
A premium Framer template for creative studios, branding agencies, and film teams who want a site that sells the work, not just shows it.
Eleven editorial pages, full CMS, and a design system you can rebrand in minutes. Plus a full step-by-step walkthrough video, so you can launch even if you’ve never touched Framer.
Running a studio? Tell me what your current site is missing. 👇
This is so smooth and effortlessly clean
Mainframe is a conceptual AI studio — brand system + full multi-page website, built entirely in Stitch. Landing page with animated states, five inner pages (Labs, Studio, Services, Openings), and a complete DESIGN.md covering color, type, and layout. Monochromatic, editorial, cinematic. The kind of system that usually takes weeks — done in one session.
Started with brand tokens, used them as the foundation for every page. Iterated hover states and animations without leaving the design context. The generated DESIGN.md became the actual handoff doc.
Fastest I've gone from concept to a coherent multi-page system. Want: auto-propagating token updates across pages, finer motion controls, native multi-page navigation. Otherwise — best design-gen tool I've used since Figma got auto-layout.
Sahil, I recall seeing that same exact monitor-head concept from a large design studio last week (I forget the name).
NeuralOS The AI-Native Operating System
NeuralOS is a concept for a next-generation operating system built around autonomous AI agents rather than traditional applications. Instead of manually switching between tools and workflows, users simply provide a goal, and the system coordinates specialized agents to research, analyze, organize knowledge, and generate complete deliverables.
At the center of the experience is the Intelligence Core, a living system that orchestrates communication between agents, manages knowledge networks, and transforms user intent into actionable results.
The project explores a future where operating systems become intelligent collaborators rather than passive software environments.
NeuralOS is a conceptual AI-native operating system designed around autonomous intelligence rather than traditional applications. Instead of manually navigating between different tools, users provide a goal, and the system coordinates specialized AI agents to research information, analyze data, organize knowledge, and generate complete results. At the center of the experience is the Intelligence Core, which acts as the operating system's brain, orchestrating communication between agents and managing the flow of information across the platform.
How I Used Google Stitch
Google Stitch was used throughout the entire design process, from initial ideation to final refinement.
My workflow included:
Generating the initial operating system concept
Exploring multiple layout and interaction directions
Refining screens through iterative prompting
Building a consistent visual language across the product
Designing complex agent orchestration workflows
Creating a connected multi-screen user journey
Rapidly testing and evolving ideas without rebuilding screens from scratch
Stitch allowed me to move from a rough concept to a complete product vision significantly faster than a traditional design workflow.
Design Goals
The challenge theme was "Build interfaces that feel alive."
To support this theme, NeuralOS focuses on:
Living intelligence systems
Dynamic agent collaboration
Spatial knowledge visualization
Real-time orchestration workflows
Motion-driven feedback
AI-native interaction patterns
Rather than creating another dashboard, I wanted the interface to feel like an intelligent ecosystem that continuously thinks, learns, and evolves.
## Feedback on Google Stitch
My experience with Stitch was extremely positive. The platform made it easy to rapidly explore ideas, iterate on layouts, and build a cohesive product experience across multiple screens.
One area I would improve in future projects is the use of generated icons and decorative assets. While they are useful during ideation, I found that replacing them with established icon libraries and design systems creates stronger visual consistency and makes the final product feel more realistic and production-ready.
The strongest results came from combining Stitch's AI-assisted generation with thoughtful human refinement. This balance allowed me to move quickly while still maintaining creative control over the final experience.
GitHub Repository:
https://github.com/MHK-123/NeuralOS
Google Stitch Project:
https://stitch.withgoogle.com/projects/1582384152650609720
Challenges
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