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Many businesses want to adopt AI, but struggle with:
❌ Slow development cycles
❌ Unscalable cloud infrastructure
❌ Poor user experience
❌ Costly deployment and maintenance
That's where we come in.
At Prisma Code, we combine AI, Cloud Engineering, Design, and DevOps to build products that are:
⚡ Fast to launch
📈 Built to scale
🔒 Secure by design
🤖 AI-ready from day one
From MVPs to enterprise-grade platforms, we help businesses move from concept to production with confidence.
Let's build something impactful together.
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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One of the most expensive AI mistakes isn't choosing the wrong model.
It's building without a way to measure success.
I've seen teams spend months building AI features only to discover:
❌ Users don't trust the outputs
❌ Accuracy isn't improving
❌ Costs keep increasing
❌ Nobody knows what's working
The best AI teams think about evaluation before implementation.
They define:
📊 Success metrics
🎯 Quality benchmarks
📈 Monitoring & observability
🔄 Continuous improvement loops
Because AI isn't a "set it and forget it" system.
It's a product that needs measurement, feedback, and optimization.
The companies winning with AI aren't just building faster.
They're learning faster.
And that starts with measuring what matters. 🚀
How does your team evaluate AI quality today? 👇
#AI #GenerativeAI #AIEngineering #LLMAgents #RAG #MLOps #ArtificialIntelligence #ProductDevelopment #FullStackDevelopment #SaaS #Contra
I built a working prototype for Arcadia, a modern retro-inspired browser gaming hub, using Google Stitch as the starting point for the entire design system and UI/UX.
The prototype covers the complete gaming platform experience, including:
• Landing Page
• Game Library
• Game Categories
• Search & Filtering
• Individual Game Pages
• Chess
• Tic Tac Toe
• Arcade Games
• Player Profiles
• Achievements
• Global Leaderboards
• Tournaments
• Community Features
• Premium Membership
• Responsive Navigation
• Mobile Experience
I started by using Google Stitch to generate the design system, layouts, typography, and overall UI direction. Having that foundation in place made it much easier to keep the experience consistent across the entire product.
From there, I used Claude Code with MCP tools to turn the designs into a fully functional MVP with playable browser games and interactive features. Once everything was working, I deployed the project on Netlify.
Workflow:
• Google Stitch → Design System + UI/UX
• Claude Code + MCP → Full MVP Development
• Netlify → Hosting & Deployment
I've experimented with AI-generated interfaces before, but this project felt different. What I enjoyed most was the balance between AI-generated foundations and the ability to refine, connect, and shape the product myself.
By the end, it didn't feel like AI built the product for me—it felt like I built it with AI as a collaborator. Stitch accelerated the design process, Claude Code accelerated development, and together they made it possible to go from idea to working product incredibly fast while still keeping creative control.
Prototype → https://my-arcadia-app.netlify.app/
Stitch → https://stitch.withgoogle.com/projects/12635013209208649828
Wow, Anjali, this is an absolute masterpiece of retro-modern design! Building a full browser gaming hub complete with working prototypes like Chess and Tic Tac Toe is such a fantastic, nostalgic direction for this challenge. The glowing neon accents against that dark arcade...
on.contra.com
Swipe-to-Shop App Transforming Farmers Market Experience
Connect with next-gen talent and tools to get work underway. Hire more independents. Start more projects. Get more creative.
Meet Your AI Agent, my entry for the #GoogleStitchChallenge
It's an app for designing what your AI agent or bot looks like. The theme was "build interfaces that feel alive," so I made something where anyone can pick a body, face, head, and aura, name it, give it a personality, and watch their bot come to life. All with zero code.
How I built it with Stitch:
I started from one prompt describing the idea, then built it up conversationally. I added native motion (the bot floats, blinks, and powers up), an animated shader nebula background, and hover states. Whenever something was off, I didn't touch any code. I just pointed at the element on screen and edited it directly, or described the change in plain words.
What I loved: when it's done, Stitch lets you publish in lots of places like Google AI Studio, Figma, MCP, Bolt, Lovable, or Netlify. I chose Netlify because it's so easy to deploy on the web. One click and you get a live link to share.
Stitch features showcased: native motion, animation and shaders, in-place AI edits, and publishing to Netlify.
As someone who can't really code, Stitch never made me feel stuck. It turned an idea in my head into a real, interactive product in a single sitting.
Try it and design your own agent: https://meetmyaiagent.netlify.app/
Walkthrough video:👇
Built with @stitchbygoogle https://stitch.withgoogle.com/projects/6351891533339790820
Fun idea. Giving people control over the personality and appearance of their AI agent makes it feel much more personal than a typical chatbot experience. Curious which customization option people seem to spend the most time on?
I explored a different direction for the challenge:
https://on.contra.com/pnfJBQ
on.contra.com
Introducing Voya: Revolutionize Your Travel Planning Experience
Connect with next-gen talent and tools to get work underway. Hire more independents. Start more projects. Get more creative.
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