December usually comes with some "pauses", but I never knew how to deal with them very well, my mind doesn't turn off for a minute haha 😅. The month ended up becoming a space for experimentation. I decided to dedicate a few hours to explore artificial intelligence tools with a simple but ambitious goal: to understand how they work in practice - from idea to deployment, even after having tested many tools. Not from technical tutorials or lines of code, but through doing, through error, through curiosity.
I'm not a developer. I've never written code. But I've always had a 360º view of technology, behavior, and digital culture. I wanted to understand AI's modus operandi: how it "thinks", how it converses, where it gets it right, where it gets confused, what are the real limits/dangers when you don't have deep technical knowledge.
The result of this exploration was three mini-projects/sites, three sites created from scratch using only AI tools, Supabase and Vercel, without writing a single line of code.
https://dreamwithall.com/
idea: why not share your dreams with the world on a public board?
status: active 🟢
https://lembreideumahistoria.com/
idea: the world collects many stories, why not give them space?
status: active 🟢
https://samarghattas.com/
status: active 🟢
More than the sites themselves, the value of the experience was in the process.
What AI reveals when you get your hands dirty
Using AI this way makes something very clear: it doesn't replace human thinking, it provokes it. The tool responds, suggests, executes, but everything starts with the question/command. The clarity of the result depends directly on the clarity of intention, but also on technical and creative repertoire (we can't deny that).
At the same time, important challenges arise:
- Translating abstract ideas into commands that are understood by AI
- Understanding technical limits without mastering the technique
- Dealing with frustrations when the tool "understands EVERYTHING wrong"
- Realizing that not everything is automatic, there's curation, choices and human decisions all the time!!!!
AI accelerates, expands and enables, but it doesn't eliminate intellectual work. On the contrary: it demands more discernment, more critical vision and more creative responsibility.
Paradigm shift: who creates is not just who codes
Perhaps the biggest learning since AI boomed has been realizing that we're living through a profound change: creating technology is no longer exclusive to those who know how to program. Curiosity, repertoire, cultural sensitivity and the ability to formulate good questions have become EVEN MORE important assets than technical skills.
This opens enormous opportunities:
- Non-technical people can prototype ideas
- Projects come to life faster
- Entry barriers decrease
- Experimentation becomes part of learning
But it also brings risks:
- Shallow solutions without foundation or clear objective
- Excessive dependence on the tool
- Lack of critical understanding about what is being built
In the end, it's not just about AI
It was about learning by doing, accepting not knowing, testing, making mistakes, getting irritated I confess, adjusting and moving forward. AI was the means, not the end.
Perhaps this is the biggest invitation of the moment: less fear of technology and more intimacy with it. Not to completely dominate it, but to dialogue, explore and understand how it can amplify human ideas, not just replace them.
These three sites are small projects, but they represent something bigger: proof that applied curiosity generates movement, and that the future of work, creation and technology passes less through isolated specialists and more through people willing to experiment 😎
Happy 2026, everyone!