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I designed a loan app where silence is a bug.
Most fintech apps leave you guessing after you hit "Apply."
Approved? Processing? Rejected? Who knows.
That UX gap is what Paisa 108 is built to fix.
What I shipped:
→ 7 loan states — every stage has a name, a visual, and a next action
→ 13 resumable journey steps — drop off, come back, never start over
→ 58-sec processing time surfaced right on the homescreen
→ Dark UI with two emotional accents: red for urgency, teal for progress
The whole system runs on one rule:
the user always knows where they stand.
Full breakdown on LinkedIn (case study + design decisions) 👇
linkedin.com/posts/siddharth-singh...
And the full Behance case study:
behance.net/gallery/250643097/Paisa-108
The red for urgency, teal for progress color system is exactly the kind of intentional emotional design that fintech usually misses. Most loan apps treat all states the same visually, which is why users feel lost.
That's what I tried to fix here :)
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Aura - The World's First Emotion-Adaptive Interface System
Designed with Google Stitch.
As a developer, I've used plenty of AI tools that can generate screens, but I was curious about something different with Stitch:
Could I use it to create an experience-first interface that felt alive rather than just another website?
That question became AURA — an experimental emotion-adaptive interface that transforms its visual environment based on how users want to feel.
Instead of approaching the challenge as a traditional landing page, I wanted to explore a more immersive direction. What if an interface could behave like a living environment? What if changing an emotional state could alter the atmosphere, motion, lighting, color palette, and overall experience?
To test that idea, I designed AURA as a digital experience where users can explore emotional worlds such as Joy, Peace, Wonder, Creativity, Ambition, and Reflection.
How Stitch fit into the workflow
I didn't start with prompts, I started with ideas.
The first step was sketching rough wireframes and visual concepts to establish the structure and flow of the experience. I then created a custom design.md document containing the creative direction, emotional worlds, visual principles, motion goals, typography, color systems, and overall artistic vision for the project.
After importing those references into Stitch, the process became incredibly fluid. The streaming generation experience was one of the most impressive parts of the workflow. Instead of waiting for a final output, I could literally watch the interface take shape directly on the canvas and react to ideas in real time.
Once the foundation was generated, I spent most of my time using in-place AI edits.
I'd select sections, experiment with different visual treatments, adjust atmosphere, refine layouts, introduce new interactions, and push the experience closer to the vision I had in mind without having to restart from scratch.
That iterative loop felt much closer to actual design work than traditional prompting.
Motion was another area where Stitch stood out.
Since the challenge theme was "Build interfaces that feel alive," I focused heavily on creating smooth transitions, hover interactions, atmospheric movement, environmental effects, and immersive visual storytelling.
The result feels less like a conventional website and more like a digital art installation.
New Stitch features I leaned on
📄 Imported custom design.md creative direction document
📄 Imported rough wireframe concepts and visual references
🌊 Streaming generations directly to the canvas
⏩ In-place AI edits using prompts and point-and-click interactions
🎥 Motion-rich interactions, hover states, and immersive transitions
🎨 Rapid visual experimentation and iteration
🚀 Export-ready workflow for deployment
Feedback on Stitch
Most AI workflows involve repeatedly prompting, waiting, evaluating, and starting over. Stitch felt different, The streaming canvas made the process feel much more collaborative and interactive. Watching designs appear in real time created a stronger sense of momentum and made iteration feel natural.
The ability to import references and then refine sections through in-place edits was probably my favorite part of the experience. Rather than constantly rewriting long prompts, I could focus on improving specific parts of the design while preserving everything that was already working.
As someone who enjoys experimenting with interface concepts, that workflow felt significantly closer to how designers and developers naturally think.
One feature I'd love to see expanded further is even more granular visual control directly within the canvas, allowing creators to tweak generated elements while maintaining the speed of the AI workflow.
Overall, Stitch helped shorten the distance between a rough idea and a polished interactive experience.
Live Prototype: https://8d2a7837-aura-living-interface-system.netlify.app/
Link to Stitch: https://stitch.withgoogle.com/projects/6682479894200923414
This is awesome
Get ready for the Config Makeathon! There is $100,000 worth of prizes on the line.
Reminder: The pre-registration period for access to the Figma agent beta ends today at 5pm PST.
‼️ Please make sure you've submitted the email address associated with your Figma account for beta access, and that you have a Figma Pro plan set up, since Starter plans cannot be added to the beta. No additions or changes to the beta access list will be possible after today's cutoff. ‼️
We can't wait to see what you'll build when the Config Makeathon begins tomorrow!
✈️ 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.
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