By The French Monkey · 2026-07-22 · ARTICLE

How many of you have had recurring dreams about one specific thing, over and over? How many of you wanted to start trading the moment crypto came along? Wanted to launch an NFT collection? Wanted to make children's books when Midjourney appeared? Wanted to build apps the moment AI made it possible?
There's a scientific term for this: pattern recognition. And it explains almost everything about the current state of AI-generated software.
As a species, we're engineered to think in remarkably similar ways. Our minds are, in a sense, generic instances of each other, same core mechanism, same underlying wiring, just running different paths shaped by different childhoods, different memories, different lives. The instincts differ in detail, but the core machinery of the brain is shared.
So when it comes to vibe coding, we're now seeing a lot of projects that look... a little bit the same. And here's the thing: that's not really the AI's fault. The AI is trained on us. What it produces is what pattern recognition found most relevant across all of us. AI output might seem like slop right now, partly because the models haven't been fine-tuned enough, but if you widen your vision, you'll see that what we call "slop" is actually just what most of us collectively agree a nice-looking website is. It's the average of our shared taste.
Having an idea feels special. But ideas are pattern recognition too. For every idea you have, a huge number of other people have already had the same one.
What AI changed isn't the idea, it's the friction of putting the idea on paper. Say "create a website for X" and the AI, drawing on the patterns it learned, generates something you'll most likely like. That's why we're drowning in sameness right now: everyone has the same idea, and the execution is exactly the same.
What defines a great vibe-coded app is not that it was made with AI. It's that it was worked on, reworked, and elaborated, the core idea refined over and over until the AI itself no longer recognizes it as a generic pattern. That's the point where you're orchestrating the AI to build what you envision, instead of accepting the statistical average.
And this is the hard part, because it requires real work, even if you never touch a line of code. It means thinking about the design. Thinking about how you actually navigate a website. Deciding what you want the user to see, and finding the best way to achieve that.
This process takes weeks and months, because you have to keep thinking about it, strategize, and then, crucially, let it rest.
AI cannot have an idea and sleep on it. There's no resting state for a model, the concept simply doesn't apply. But the human mind is a wonderful tool for absorbing things, letting them sit, and combining them in ways only that one individual can.
This is what differentiates us from AI, and it's why I personally believe AI will never fully replace us. AI is a generalized model, and it will become more generalized with every iteration. It'll get smarter, sure, but it will always be adapting to the patterns of whatever generation comes next. Humans, meanwhile, will always find new ways to be creative: combining what we've lived through, with sensation, with all our senses. That can't be reproduced in a lab, at least not at the scale a single human does it effortlessly.
Time is part of this too. Time doesn't exist for a computer program, not the way it exists for us. Ask an AI what time it is and it'll tell you, because it has access to a clock. But that's not the same notion of time. Waiting an hour. Meditating for an hour. AI will never do that, because we don't even understand what's happening in our own minds when we meditate or dream, how thoughts mix and recombine. That process took millions of years of evolution, and that evolutionary mindset can't be recreated.
So next time you see something that "looks AI," think of it as an idea that's on the board but not finished yet.
And next time you vibe code something, you put in the idea, you get a first draft, and however cool it looks: know that this was the easiest step. This is where most people stop, content with the result.
This is also why being an artist matters. As an artist, you learn to work with the process. You learn to adapt, to optimize, to rest on thoughts and blend things together over time.
If you go further, if you understand how the engine works, how the backend is structured, what steps were taken to turn your idea into working software, then you gain real power over it. You can change it however you want. Update it over and over. Arrange and design it in a way that actually suits you.
But to do all that, you need to understand the basic process. And most people won't, because it takes time. A lot of people won't spend more than a week on a project, because they don't understand it, and they don't know how the AI created it, even if the result resembles their idea.
Everything looks the same because putting an idea on paper became easy, and everyone's putting the same idea on paper. The differentiator isn't the tool. It's the weeks of thinking, resting, refining, and understanding that happen after the first draft.
Sleep on it. Then get back to work.
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My name is Constantin Paschou, a.k.a. The French Monkey. I'm a French-Greek artist, born in Grenoble, France, and currently living in Greece.
My visual art journey started more than a decade ago when I got into photography as a hobby. From there I slowly got into Photoshop and photo manipulation. Not long after, I became a full-time photographer, and for many years that was my main title. I photographed everything from events and weddings to nightclub photography, worked with local newspapers, shot e-shop collections, and took on all kinds of freelance projects. My main passion, however, has always been portrait and landscape photography.
After a while, I really wanted to diversify my work because photography alone wasn't enough for me. I started doing graphic design on the side, creating booklets, posters, and event visuals for different organizations. That eventually gave me the motivation to start dabbling in 3D.
In late 2015, I decided to make the switch from photography to 3D design and started learning Cinema 4D. I created a couple of personal projects to understand lighting, texturing, and rendering, and in 2016 the Everyday Project was born.
In 2017, I launched TFMSTYLE as a place to gather all my projects in one spot. Over time it also became the home for my products, resources, and everything else I create.
Between 2017 and 2020, I had the honor of traveling and giving talks about the Everyday Project and the idea of sharing your work online as free resources for the community. Along the way I got to meet amazing artists such as Beeple, Andrew Kramer, the Studio Team, and countless talented designers who inspired me just as much as I hope my work inspires others.
Today my work goes far beyond photography or 3D alone. I enjoy mixing different creative disciplines, experimenting with new techniques, building tools and resources for other artists, and constantly learning. At the end of the day, I just love making cool stuff and sharing it with the community.
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