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Hey Contra — new here but wanted to share what I’m building🔥
I’m developing a hyper-realistic AI virtual influencer for viral dance and lifestyle clips, aimed at brand sponsorships. The tech is getting so good people can't tell the difference.
To lock in flawless character consistency and fluid movement, I’m building a massive asset library from scratch—including 30-view turnarounds, expressions, and a virtual wardrobe.
The core workflow is motion transfer: scouting viral choreo or shooting on green screen, then mapping those movements onto the AI character without breaking the likeness.
Current Status:
Assets: Finished a baseline catalog of outfits and expressions.
Pipeline: Locked in the sync so face and body shape stay steady during fast dance moves.
Next: Expanding the wardrobe and testing multi-person scenes.
Let’s chat: How are you capitalizing on IG/TikTok trends right now? Besides sponsorships, what other monetization angles are you seeing for AI Influencers?
Nice work
Character consistency is exactly where a prompt system helps. I would split the workflow into identity lock, motion style, scene and lighting rules, camera rules, negative constraints, and a QA checklist after each generation.
That gives you a repeatable way to compare outputs instead of judging every clip from scratch.
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I could just generate random shots all day. Oddly its somewhat similar to the feeling I got when I first picked up a camera and randomly shot things.
These were all created with Midjourney and Seedance 2.
Image showing this to people a decade back saying this is not from a movie 😂
Hi Contra community! 👋
I’m Kateryna, a UI/UX Designer based in Kyiv.
My path to design wasn't a straight line. After a rewarding chapter in journalism and entrepreneurship, I pivoted to UI/UX. The transition felt surprisingly natural - skills like structuring information architecture and focusing on iterative improvement proved to be the perfect foundation for digital product design.
Now, I'm putting theory into practice at a British B2B company. By simplifying complex user flows and designing data-heavy dashboards, I'm getting the ultimate hands-on design education.
I'm also actively exploring how AI tools can streamline design workflows, assist with UX writing, and spark new visual concepts.
I’m here on Contra to connect with fellow creatives and collaborate with forward-thinking teams!
Wishing you lots of inspiration and exciting opportunities on Contra. Looking forward to seeing more of your journey! 🙌
Memory Bank is a private family app designed to capture the small moments that usually get lost.
We take thousands of photos every year, but the little things often disappear: a note before a test, a flower picked on the way home from school, a funny photo of the family cat, or a simple “good luck” message from a parent.
Memory Bank gives families a shared space where they can add photos, notes, and emojis throughout the day. These contributions form a collaborative daily memory that lives on the home screen as a widget.
At midnight, the day’s memory is automatically captured as a Polaroid and saved to a family archive. Over time, families build a collection of memories together, one day at a time.
For this project, I wanted to experiment with a different design workflow.
Instead of starting in Figma, I used Codex and the Build-iOS-App workflow to generate a working Swift prototype first. My goal was to validate the interaction and product flow before investing time in visual design.
Once the concept felt promising, I used Figma MCP to bring the app screens into Figma, where I explored different visual directions, refined the user experience, and iterated on the overall concept.
I then used Figma Make to prototype key interactions and validate the experience before bringing those improvements back into the app.
Finally, I created the launch trailer and supporting assets using Hyperframes, Codex, and Figma MCP, allowing me to iterate on both the visual design and the story as the concept evolved.
The result was a workflow that felt much more fluid than the traditional path of Idea → Design → Prototype → Build.
Instead, the project evolved through a continuous loop of Idea → Prototype → Figma → Prototype → Launch.
Memory Bank started as a Makeathon experiment, but quickly became something I genuinely want to build for my own family.
Amzing work
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