I built KAIROPI for the Google Stitch Challenge - a playful ramen lifestyle brand that brings together food, sauce, stickers, motion, and colorful city culture.

How I Used Google Stitch

I started by creating a mood board to define how I wanted the website to feel the colors, hero direction, sticker style, typography, food visuals, and overall brand energy.

Then I brought that direction into Google Stitch and built the website step by step, from the hero section to the manifesto, bowls, sauce section, and footer. I kept iterating inside Stitch, using prompts and edits to refine the layout, copy, visual consistency, and interactions.

One of the most useful parts was being able to make changes without starting the whole page again. Once I understood the workflow, Stitch made it much faster to keep the design consistent.

Stitch Features Used

- AI-assisted interface generation

- In-place design edits

- Iterative prompt-based refinement

- Motion and interactive UI direction

- Visual workflow from mood board

My Experience Using Stitch

At first, I was a little confused because it was my first time using Stitch, but I found my way around pretty quickly.

Once I understood how to work with it, the process became much smoother. I really liked how I could keep the design consistent and ask the AI to make edits instead of regenerating everything from scratch.

Overall, Stitch felt fast, flexible, and useful for turning a clear creative vision. If you already know the feeling or direction you want, it becomes much easier to iterate and build quickly.

Unreal quality — you’ve got serious talent.

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 👌🏽