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After stressing with
@figma make for hours; since 8pm yesterday, I restarted and finally fixed the flow.
Turns out, if you don't pay attention to detail and fix a broken flow on time, it could affect the succeeding flows. Or I think it may have worked for me cause I went ahead to clear context?
I'm almost finished with the starting flow; Event Creation.
Fixed the landing to be responsive up till the event creation(modal).
Adjusted the image upload container in the event creation modal to preserve state, so the image doesn't vanish when you proceed through the event creation steps.
Made the input fields and date and time picker completely functional, with the AM/PM toggle functioning and to also update directly without opening the picker, and even from the picker the toggle updates as well.
Next thing? Set the input fields and date & time pickers to preserve state, so when we move through flows it doesn't loose data given.
And I'll include error states for emtpy input fields, so users can't advance if fields are empty.
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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!
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
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