Isaac Asimov and his work: the man who saw the future before anyone else
A journey through the life and work of Isaac Asimov, from the Foundation saga to the Three Laws of Robotics, and why his predictions are coming true in the age of artificial intelligence.
The Library of Tomorrow: where science fiction meets reality
A sci-fi reading club is born inside the Pereira Tech Talks community. In this series I share reviews and reflections on the stories, movies, and tales we read and watch each week.
The Permanent Hackathon: Why We Can't Stop Building
AI was supposed to give us more free time. Instead, it created an addictive building loop — backed by neuroscience, economics, and a meetup confession.
The Hidden Job of the AI Era: The Art of Directing Agents
AI agents aren't productivity multipliers — they're judgment multipliers. Why direction matters more than the model, and what that means for engineering.
From Programmer to Orchestrator: The Silent Revolution Almost Nobody Sees
How I went from writing every line of code to orchestrating AI agents — and why the biggest tech revolution is happening so quietly that almost nobody sees.
The Scorecard: How to Measure What AI Can't Tell You
AEO measurement is years behind AEO optimization. Here's what the industry has, what's still missing, and one audit framework that gives you something concrete to work with.
The search landscape changed — and most sites aren't ready. Here's what the shift looks like, why AI answer engines work differently, and the two foundations every site should have in place.
AEO: What Changes When AI Starts Answering Instead of Linking
AI agents are now some of the most important visitors to your site — and they don't click links. A practical guide to Answer Engine Optimization: what it is, how it differs from SEO, and why the first-mover window is still open.
What I shared at PyCon Colombia 2018 on how applied mathematics lets us build AI models — linear algebra, neural networks, gradient descent, computer vision.
