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An AI Developer in 2026 isn’t just writing prompts.
They’re designing systems that think inside constraints.
When I architect AI builds, I focus on:
• Guardrails
• Structured outputs
• Validation layers
• Logging
• Feedback loops
Because AI without control creates risk.
And AI without measurement creates noise.
Engineering AI applications today means treating them like real software systems — not experiments.
That’s the difference between shipping something impressive and shipping something usable.
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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I’ve been testing AI tools to generate packaging concepts.
Here’s my honest take: AI is powerful, but only if you are clear.
If your prompt is vague, the result is generic. If your style direction isn’t defined, it defaults to whatever the model thinks is “good design.” Which usually means safe and trend-driven.
The better results came when I had the opportunity to art direct it or design a draft reference that I could use to guide the results.
And typography? Still hard, nailing intentional type systems is another story.
Are you using AI… or is AI designing for you?
Curious. do you usually sketch a rough type system first before prompting? Typography still feels like the real battleground.
Building something exciting 🐶🚀
Just launched Pawsy AI an AI-powered dog behavior coach that helps pet parents fix barking, biting, anxiety, and more in just 7 days.
Instead of expensive trainers or random YouTube advice, Pawsy AI creates personalized training plans using intelligent behavior analysis.
• AI diagnosis
• Custom daily exercises
• Progress tracking
• Adaptive coaching
$29/month subscription model
Design + product + positioning built from scratch.
Would love feedback from fellow builders. 👇
Pawsy AI an AI-powered dog behavior coach
For FlowAI I designed a "How it Works" section
that breaks the entire product down into 3 simple steps.
No jargon. No confusion.
Just a clear visual story that takes the visitor from problem to solution in seconds.
The goal was to make AI feel simple, approachable, and worth trying.
This is what good SaaS design does — it sells the product before the user even signs up.
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