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👨💻 THE SECRET SAUCE BEHIND EVERY GREAT BUILD. 🧪
Every great digital product has a recipe. Here's mine. 👇
🧩 The Ingredients
🎨 Figma - UI/UX & product design
💻 VS Code - Where the magic happens
🐙 GitHub - Version control & collaboration
🐳 Docker - Consistent, reliable environments
☁️ AWS - Cloud infrastructure & deployment
⚡ Next.js - Fast, modern web experiences
🤖 AI - Smarter workflows & automation
⚙️ The Recipe
A little creativity.
A solid architecture.
Clean, maintainable code.
A focus on performance, security, and scalability.
🔥 The Final Product?
Digital experiences built to solve real problems not just look good.
At PRIMUX, we don't just write code. We turn ideas into products people can use, love, and grow with.
🚀 Got an idea cooking? Let's build it.
#Primux #WebDevelopment #TechStack #FullStackDevelopment #SoftwareEngineering #BuildInPublic #DeveloperTools #SaaS
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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Before you add AI to your product, find the screen where your users already copy and paste.
That's usually where the real AI feature lives. Not a chatbot in the corner, but a step people already do by hand: summarising a ticket, drafting a reply, tagging an upload, pulling fields out of a PDF.
Here's the order I follow when a founder asks me to add AI to an existing SaaS:
1. Pick one workflow, not "AI everywhere." Watch where users leave your app to paste something into ChatGPT and come back. That round trip is your feature.
2. Keep the model behind your own API. One service owns prompts, retries, logging and cost limits, so you can switch providers without touching the frontend.
3. Make it tenant-aware from day one. Each customer's data, prompts and usage stay scoped to their account, or the first enterprise security review will stop you.
4. Ship a draft, not a decision. Let the AI suggest and the user approve. You earn trust and get real feedback before you automate anything.
5. Measure accepted output, not tokens. If users rewrite most of what it produces, the prompt or the context is wrong, and that's your real roadmap.
Most AI features that flop didn't fail because of the model. They were bolted onto the wrong step.
What's the one task your users still copy into ChatGPT?
Watching where users paste into ChatGPT and come back is such a practical way to find the real feature. Most teams start with the chatbot instead.
I’m currently open to work in UI/UX Design & Frontend Development. 🚀
My process starts with understanding the problem, researching users, and mapping their journey. Then comes wireframing, shaping the visual experience in Figma, prototyping, and turning designs into responsive code.
From the first question to the final pixel, I believe every design decision should have a purpose.
I’m ready for the next opportunity to turn ideas into meaningful digital experiences.
#OpenToWork #ProductDesign #UIDesign #UXResearch #Figma #FrontendDevelopment
A five step strip from research to Figma to code is a clean way to show you cover the full chain, and the green and blue in open to work make a readable hook. Blunt critique: this card describes the process every designer follows. The thing a hiring manager wants is one outcome,...
Blog Listening Web Application With Admin Dashboard.
webdesignappdesignadmindesignBackend DevelopmentFrontend DevelopmentFull Stack DevelopmentExpressJSNext.jsTailwind CSS
