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Food-y Navy — Modern Restaurant Menu & Ordering UI
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Traditional corporate training often feels disconnected from everyday work. Skillio helps bridge that gap with personalized five-minute sessions, job-specific AI simulations, and instant feedback.
The mobile experience supports role-based learning across professions, with interactive chat and voice exercises that recreate realistic workplace situations. A lime-green, lavender, and deep-green palette, bold typography, and a flower-shaped performance chart make progress easy to understand and engaging to explore.
Explore the project on Dribbble:
https://dribbble.com/shots/27808131-Mobile-App-Powered-Employee-Training
Sweeet
Excited to share my latest design project: New Bones 🛋️
New Bones is a furniture e-commerce landing page designed to make discovering home items and exploring decor trends completely seamless. The main focus was to break down complex online shopping layouts into a clean, minimal, and frictionless user journey.
From smooth product slider discovery to a transparent trust badge flow, every section is crafted with close attention to clear visual hierarchy and layout consistency.
Check out the full UI/UX case study here! 👇
Nice focus on simplifying furniture discovery!
My AI assistant runs all day. The expensive model only does the thinking.
Most requests need no AI at all. "Call me in 30 minutes" is handled by plain code. Reminders, schedules and limits are code too.
Short tasks like sorting and scoring go to fast models on a free tier.
The big model only gets planning and long conversations, where it actually has to think.
If it hits a limit, a backup model answers instead of the app going silent.
If your AI app's bill keeps growing, check what really needs the big model.
What does your app send to the most expensive model?
Same pattern holds in outbound tooling. Filtering, dedupe and enrichment lookups are plain code. The model only writes the first line once the row is already verified. Cuts cost and the weird outputs.
