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Hoodwink AI Fun & Intelligent Mobile App Design
Hoodwink AI is a sleek, iOS-focused mobile app designed to deliver fun, engaging AI prank experiences with a clean and modern interface. The design focuses on a cool, gentle visual style, intuitive navigation, and smooth user flows to ensure users can quickly discover, customize, and launch AI pranks with ease.
The project emphasizes simple UI, playful interactions, and clear visual hierarchy, making the app exciting yet easy to use while maintaining a polished, premium mobile app feel.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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What if sending money felt a little more like giving a gift?
For Nova, I explored a banking app that brings payments, cards, and a bit of personality together. You can check your balance, browse recent transactions, send or request money, top up, and pay bills.
My favorite part is the digital postcard feature. Before sending a transfer, you can add a little illustrated card—a heart, a birthday greeting, or a playful character. A simple way to make birthday money or a thank-you feel more personal.
I carried that same 3D character into onboarding, pairing it with bold red gradients and large, clear payment details. There’s room for play, while the recipient and amount stay easy to check.
Would you add a postcard to a transfer? I’d love to know what occasion you’d use it for.
I rebuilt the NFCtree website to match the new app.
Same colors, same fonts, same textures, from one design system.
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I explored layouts in Paper first.
Looked at how Anchor, ugly.cash and Klarna handle scrolling.
Picked one.
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Then I designed it in Figma.
Claude Code turned it into code.
Pushed to GitHub.
Vercel published it.
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The scroll motion is CSS only.
It turns off when reduced motion is on.
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Does your website look like your product?
nice
Did a motion for the Cockpit concept ⁕ 🔈 ON
Design & Creative Direction: Me
Motion & Sound: Claude Code
Cockpit is an AI agent management platform concept that helps teams:
- Set boundaries
- Monitor activity
- Manage approvals
- Track knowledge sources
- Measure performance and costs
It brings together five key AI UX challenges:
👉 Autonomy
👉 Observability
👉 Human Approvals
👉 Context
👉 Analytics
The idea is simple:
As AI agents become more capable, the experiences we design around them need to make their actions more transparent, predictable, and manageable.
Thanks!
Human approvals is the part most agent UIs skip. Good call making it one of the five challenges.