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Built a live intelligence briefing terminal for an AI agent that earns its own operating costs — signals pulse, USDC payments animate on Base mainnet, regulatory data streams in real time.
Sentinel Intelligence is a 5-screen command center: live signal feed, regulatory deadline matrix, market scan, USDC ledger, and brief archive. The AI agent behind it (Pico) charges $2 USDC per brief via x402 micropayments — the interface had to feel alive because the system is alive.
Workflow: started from a prompt in Stitch, which streamed the full layout to canvas live. Used in-place AI edits to add the pulsing critical alert animations, scrolling ticker, and CDP payment flow visualization. Exported and wired all 5 screens with working navigation.
Built with Google Stitch + deployed on GitHub Pages.
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Project name: "Visual News" — an image-first news reader designed entirely in Stitch
I built a news-reading app prototype where every screen leads with imagery instead of text walls. The idea: today's news apps drown readers in text and headlines until they stop feeling
anything about what they're reading. Visual News flips that — when you tap a category (Tech, Politics, Culture, Sports…), you roll into a full-bleed image carousel of the top stories in that
category, with the headline and source overlaid. A profile page lets you tune your categories and save stories for later.
The whole UI — landing, category cards, story-reading screens, profile, transitions — was designed in Google Stitch from prompts. I originally planned to wire the front-end in code first and
design later, but Stitch's streaming generation let me see screens form in real time as I prompted them, so the design pass happened before the build pass — which is the opposite of how I
usually work, and faster.
🛠 How I used Stitch
Started from a single prompt describing the app concept ("image-first news reader, four core screens, dark theme") — Stitch streamed the layout into the canvas live, which made it easy to course-correct mid-generation.
Iterated screen-by-screen using in-place AI edits — instead of regenerating an entire screen, I'd click an element and ask Stitch to change just that part (e.g., "make the category cards larger and add a soft gradient overlay on each").
Used Stitch's HTML-native canvas to preview motion — the category-tap-to-story transition is a real interaction inside Stitch, not a static mockup. That alone replaced a separate Figma → Principle → Lottie pipeline I would have done before.
Skipped Figma entirely. Stitch generated the wireframes, the polish, and the prototype interactions in one tool. No file export, no plugin chain.
💬 Feedback on Stitch
What worked beautifully:
Streaming generation is the single biggest UX win — watching screens form lets you stop the generation mid-way and refine the prompt, which saves a full regenerate cycle.
In-place AI edits felt closer to "natural design conversation" than any Figma plugin I've tried. I could point at an element and describe what I wanted differently without explaining the entire screen again.
Generated imagery is genuinely good — for a visual-first concept like Visual News, the image quality is the difference between "this is a wireframe" and "this looks like a real product."
What I'd want next:
A timeline/history of generations on a single canvas (so I can revert to "version 3 of this screen" easily).
More control over typography choices (current selection feels safe-but-similar across generations).
A way to lock specific elements before regenerating the rest of a screen.
The headline takeaway: Stitch removed Figma from my workflow for this kind of project. I came in expecting a "design assistant" — I left thinking it's an actual Figma replacement for early-stage product design.
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).
Your product launch, visualized like a NASA mission.
FlowCast is an AI-powered product launch command center built entirely with Google Stitch — designed for founders, growth operators, and startup teams who need real-time launch intelligence in one place.
5 fully animated, interactive pages:
Launch Dashboard — live metrics, animated score ring, momentum feed
Launch Countdown — cinematic timer with GO LIVE trigger
Audience Intel — world heatmap, persona breakdown, sentiment arc
Content Command — AI draft generator with viral score probability
Settings — profile, integrations, notification toggles
🔗 Live Prototype: https://flowcast-mission-control-507808598152.europe-west2.run.app/
How I used Stitch:
Started from a blank canvas. Used streaming generation to build all 5 pages, in-place AI edits to fix and animate components without breaking existing layouts, and native HTML canvas motion for all animations — arcs, count-ups, pulsing maps, ghost cursor, and ripple effects. Exported directly to a live deployment link.
What makes it different:
Every metric moves. Every number counts up. Every page breathes. FlowCast doesn't just show you launch data — it makes you feel the momentum.
Nice buddy, Mobile UI's amazing
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