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Taste Test
I gave the exact same prompt to ChatGPT and Gemini — and the results are NOT what I expected. 👀
Same words. Same vision. Two completely different outputs.
One nailed the lighting. One nailed the realism. But which one wins? Drop your vote below — I'm genuinely curious which AI you trust for visual work.
This is the kind of experiment I run before recommending tools to my branding clients. Because the AI you choose actually changes the final result. 🎯
Which image looks better to you? 👇
#ChatGPTvsGemini #AIImageGeneration #AIComparison #BrandDesign #AITools #ChatGPT #Gemini #AIArt #FreelanceDesigner #Contra #AIvsAI #DesignTools #ViralPost
5 votes
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Related posts
Hot take: when people say “we can tell you used AI,” they’re usually not reacting to the AI.
They’re reacting to the lack of creative judgment behind it.
I read a post today that explained this sooo well. It basically called out what designers have always been able to tell when someone was using a tool without understanding the craft behind it. That's not new to AI.
You could tell with bad PowerPoints.
You could tell with overdesigned Canva graphics.
You could tell with random stock-photo branding.
AI just lowered the barrier to execution even more, which means taste and direction matter even more now.
Because the difference was never the tool. It was the eye behind it.
Is “taste” becoming the new technical skill?
You could tell with shabby WordPress.
Indeed. You can look at furniture and see that nails and hammer has been used, or not, or you couldn't care less as long as its a good peace of furniture. :)
Bringing ideas to life faster with Google Stitch ✨
For this challenge, I explored how Stitch can transform a simple concept into a fully interactive creative experience using AI-powered workflows.
The project started with just two things:
📄 a custom design.md creative direction file
🖼️ a logo image for the project identity
Using Stitch’s new capabilities, the entire website was generated directly inside the canvas through streaming generations — turning concepts into a live experience in real time.
But it didn’t stop at generation.
I continued refining the project using:
⏩ prompt-based in-place AI editing
🖱️ point-and-click interactions directly inside Stitch
🎥 native motion, animation, shaders, and hover states on HTML canvas
🚀 one-click export support directly to Netlify
What makes this even more impressive is how Stitch combines the workflow of 4–5 different creative applications into one single platform — generation, editing, interaction design, motion, prototyping, and deployment all inside one experience.
From concept → iteration → interaction → deployment, the entire workflow stayed inside Stitch.
This experience shows how AI can dramatically speed up creative production while still allowing full artistic control and experimentation.
link for the project:
Live Website :Website
Google Stitch Workflow :Google Stitch
This is impressive and incredible
Which one feels better?
Built one entirely from scratch in Framer.
Prompted the other to Claude as a creative partner.
Curious if you can tell which is which. Write in comments below ->
21 voted
45%
26 voted
55%
47 votes
Closed
The interface feels very intentional and professionally crafted 👏
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