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š¤ Exploring the future of AI?
Mistral AI provides powerful AI models and tools for developers, businesses, and creators to build intelligent applications and workflows. š
Explore AI models, agents, APIs, and solutions designed to help you build with AI.
š Explore here: https://uiuxshowcase.com/resources/mistral-ai/
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 think AI changes HOW we create, but not WHY we create. The tools are evolving incredibly fast, but taste, creative direction and storytelling still come from people. Thatās what makes the difference for me.
I work with AI visual storytelling, and Iāve realized that the prompt is only a small part of the process. The real work is building a concept, defining the mood, selecting the strongest visuals and shaping a coherent story. AI speeds up execution, but creative vision is still human.
Great work!āļøš¤
If AI can generate beautiful illustrations in secondsā¦ why would you still draw one yourself? š¤Ø
I'm currently working on a packaging project that I can't share just yet, but one part of the process stood out: the hero element is a custom vector illustration, drawn by hand from...
Totally agree with this
Creating a website for my own business was super fun.
caparica.love is my side hustle, which I started around 4 months ago.
It's all about organizing romantic events, from proposals on the beach to romantic picnics.
Something about this website I like the most is the "Book Now" button, which allows my clients to choose the experience by themselves, without me being involved.
Another useful thing is the AI Assistant. It can consult my customers on its own, providing them with detailed information.
Try out the AI Assistant on the website and let me know how it went!
Really sweet project! Congrats on the launchš
Currently building autonomous AI systems that actually survive production ā not just the demo.
Most AI projects work beautifully in a controlled test and then quietly fall apart on real data, edge cases, and concurrency. I focus on the unglamorous engineering that closes that gap: data validation pipelines, boundary checks, error handling, and knowing exactly where deterministic logic should own the decision instead of the model.
Recent work includes agentic workflows built with Python and FastAPI, an LLM reasoning layer for the genuinely ambiguous decisions, and automation orchestrated through Make with MCP. My background is technical support and operations, which means I design for the failure case first ā I've spent years watching systems break in ways their builders never anticipated.
If you have an AI pilot that impressed everyone in the demo and then stalled on the way to something dependable, that gap is exactly what I build for.
Open to Applied AI / AI automation projects.
Keep it up!