Fr this challenge, I used Stitch to turn a simple idea into a working prototype in just a few minutes. I started with a prompt describing an AI companion for elderly users, and Stitch helped generate the initial screens and user flow, which I then refined and connected into a prototype.

I've actually used Stitch before on a few projects last year, so it was interesting coming back to it. One thing I noticed immediately was how much more capable it feels now. The experience is smoother, the outputs are more thoughtful, and it feels easier to move from an idea to something tangible.

My favorite part is how quickly it helps explore concepts without getting stuck on a blank canvas. It's not a replacement for design thinking, but it's a great tool for getting ideas out of your head and into a format you can test and improve.

Overall, I enjoyed using it, and it's definitely a tool I will be running back to.

Project Link:

https://stitch.withgoogle.com/projects/7896560432512456672?pli=1

Nice work

1. Project Link https://stitch.withgoogle.com/projects/9509844389363739472 website link https://rupendrajnv.github.io/stitch/ ---------- What I built: A cinematic Web3 fintech landing page for a fictional startup called Fluxora — featuring a full-screen AI character video background, glassmorphism stat cards with animated count-ups, a custom cursor, scroll-triggered reveals, and a deep navy-blue color system. The experience is designed to feel alive from the first second — motion-forward, conversion-focused, and premium. 🔧 How I Used Stitch

I came to Stitch with a clear creative direction and one asset — an AI-generated character video from Kling. I prompted Stitch to build a full landing page around it: cinematic overlay system, glassmorphism UI components, animated statistics, and a partner bar. Stitch generated the entire interface in one pass, and I used in-place AI edits to refine the color theme from red to a clean navy-blue system and tighten the typography hierarchy. The native motion and animation support let me get scroll-triggered reveals and count-up animations without writing a single line of JS manually. 💬 Feedback on Stitch

Stitch's streaming canvas generation is genuinely fast — watching the interface build itself in real time made iteration feel low-friction. The in-place edit workflow (prompt + point-and-click) was the standout feature for me. Being able to say "change the overlay to blue" and see it apply contextually — without rebuilding from scratch — is exactly how AI tools should work in a design workflow. The motion and animation support on the HTML canvas is a real differentiator. For someone coming from a video and motion design background, having that baked in natively felt natural. Would love deeper control over animation easing curves in a future update. -- Post on X https://x.com/techupd59581740/status/2060750926793879905?s=20

sleek 👌🏽