Every day a new AI emerges to "kill" someone. In this post, I'll show you how I use it to make my daily life as a web designer easier.

This was a landing page project for a marketing agency that works in the restaurant niche.

I received the entire visual identity ready and well-documented from the client, which was a huge help.

First, I sent Claude all the landing page references the client had and asked him to do a SWOT analysis of each one.

Then I sent the copy I had created with the client to GPT to refine and use on the page.

I sent Claude the client's brand manual and asked him to organize everything and save it for our use.

I asked Claude to "generate a landing page using only the strengths from the analysis we did and applying the client's visual identity."

Claude generated the layout for the first post, and this helped me in the process of creating the landing page in Framer. This "opened my mind," and I was able to use this layout as a reference for creating.

This is how I've been using AI in my daily work; to facilitate and scale processes.

See how the landing page turned out at the link: www.umamiassessoria.com.br

Nice!

A few years ago, writing code meant wrestling with bugs line by line, Googling errors at 2 a.m., and slowly learning why things worked. Today? An AI can write, debug, and optimize code in seconds. It feels like magic. But here’s the uncomfortable truth I keep noticing: many developers are using AI every day without really understanding what’s happening under the hood. I’ve seen it firsthand. When the AI output works, everything feels smooth. But the moment it breaks… confusion kicks in. Why did it fail? Why is the behavior inconsistent? Why doesn’t this solution scale? According to recent studies, more than 70% of developers admit they rely on AI tools without deeply understanding how they work. And that gap matters. Because when you don’t understand the system, you can’t truly control it. You can’t debug confidently. You can’t optimize intentionally. And innovation turns into guesswork. AI isn’t here to replace thinking — it’s here to amplify it. When developers understand the foundations behind AI — how models learn, why outputs differ, where limitations exist — something powerful happens. We stop treating AI like a black box and start using it as a creative partner. That’s where real progress lives. Not just in faster code, but in better decisions, ethical use, and stronger software. As AI continues to evolve, our responsibility grows with it. The goal isn’t to keep up. The goal is to understand — and then build something better.AI should be a tool we guide, not one we blindly follow.

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