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Most apps with "AI-powered" in the description have one thing in common.
Nobody thought through what using the AI should actually feel like.
It ends up as a chatbot buried in a menu. A recommendation engine surfacing things nobody asked for. An insights tab nobody opens.
The design question with AI is the same as every other design question.
What is the user trying to do, and does this make it easier or harder?
Shipping AI features is easy.
Designing an experience where the AI actually changes something for the user is the harder part.
Most products stop at the first one and wonder why nobody engages.
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Just add water, however in this use-case, Just add AI.
Speed is everything in the early stages of a business and Framer fits perfectly into that workflow.
You can go from a blank canvas to a fully published, professional website in under 24 hours.
No back-and-forth with a developer, no waiting on revisions, no explaining your vision to someone who does not fully understand your brand.
You stay in control at every step and every decision stays yours. That kind of ownership is rare and it is something most founders do not realize they are missing until they finally have it.
wooooow! awesome! 🔥💯
✈️ AI Travel App Concept for the Stitch Challenge
For this Stitch Challenge, I decided to test what AI can do in my strongest zone - mobile app design.
My agency and I have created 350+ mobile apps across AI, hospitality, wellness, hotel platforms, marketplaces, and travel-related products. So instead of creating just a nice UI shot, I wanted to test Stitch on something closer to a real product.
The concept:
An AI Trip Planner App that helps users discover trips, generate a personalized travel plan, optimize the budget, and turn everything into a ready itinerary.The main UX idea was to show how an AI travel agent can guide the user from curiosity to action:
→ Discover trip ideas
→ Generate a plan
→ Build a route
→ Optimize budget
→ Show savings
→ Push the user toward booking
I used:
a product specification
a Claude-generated visual reference
the same prompt direction in Stitch
then Figma polishing to improve spacing, hierarchy, consistency, and final presentation
Claude gave me a strong visual reference.
Stitch gave me the first working structure.
The biggest advantage of Stitch for me was iteration speed. With the free / Gemini access, I could generate and test more without constantly thinking about tokens. Claude is paid in my workflow, so for fast visual exploration Stitch was actually useful.
After Stitch generated the first version, I refined it in Figma and turned it into a cleaner, more premium mobile concept.
Final outcome:
AI Travel mobile app concept
Trip discovery experience
AI trip planning flow
Budget and savings logic
Smart recommendations
This challenge was not only about “can AI generate screens?”
🟢For me, the real question was:
Can AI help a senior mobile designer move faster from reference and prompt to a product idea that actually feels usable, structured, and business-focused?
My answer: yes - but the depth still comes from UX strategy, product thinking, visual direction, and final design judgment.
If your mobile app looks good but users still don’t activate, return, or convert - I can help you find the leak.
Book a Mobile App Diagnostic Call:
https://calendly.com/asol_design/book-diagnostic-call-linkedin-clone
#stitchchallenge #stitch #mobileappdesign #uidesign #uxdesign #productdesign #aitravel #figma #growthdesign #mobileux
Honestly, this is one of the best submissions I’ve seen.
Meet Your AI Agent, my entry for the #GoogleStitchChallenge
It's an app for designing what your AI agent or bot looks like. The theme was "build interfaces that feel alive," so I made something where anyone can pick a body, face, head, and aura, name it, give it a personality, and watch their bot come to life. All with zero code.
How I built it with Stitch:
I started from one prompt describing the idea, then built it up conversationally. I added native motion (the bot floats, blinks, and powers up), an animated shader nebula background, and hover states. Whenever something was off, I didn't touch any code. I just pointed at the element on screen and edited it directly, or described the change in plain words.
What I loved: when it's done, Stitch lets you publish in lots of places like Google AI Studio, Figma, MCP, Bolt, Lovable, or Netlify. I chose Netlify because it's so easy to deploy on the web. One click and you get a live link to share.
Stitch features showcased: native motion, animation and shaders, in-place AI edits, and publishing to Netlify.
As someone who can't really code, Stitch never made me feel stuck. It turned an idea in my head into a real, interactive product in a single sitting.
Try it and design your own agent: https://meetmyaiagent.netlify.app/
Walkthrough video:👇
Built with @stitchbygoogle https://stitch.withgoogle.com/projects/6351891533339790820
Fun idea. Giving people control over the personality and appearance of their AI agent makes it feel much more personal than a typical chatbot experience. Curious which customization option people seem to spend the most time on?
I explored a different direction for the challenge:
https://on.contra.com/pnfJBQ
on.contra.com
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