August 2025
There’s a strange tension in building with AI right now. On the one hand, it’s a hype wave—every week another tool, another headline, another “game changer”. On the other hand, under the surface, something much bigger is forming.
I don’t see AI as just a set of productivity hacks or chatbots. For me, it’s about designing systems that can adapt, respond, and eventually think in ways that are different from our own. The challenge isn’t just “making AI work,” it’s asking: what kind of intelligence are we actually building, and what role should it play?
My focus is on practical intelligence—systems that are useful, resilient, and grounded in reality. Not AGI hype, not science fiction, but architectures and agents that can handle complexity and uncertainty in the real world. At the same time, I won’t pretend the bigger questions aren’t there. The trajectory is obvious: we’re heading into a decade where autonomy, decision-making, and machine intelligence reshape almost everything.
That’s why I work with a dual mindset:
Build now — focus on concrete tools, frameworks, and architectures that solve problems today.
Prepare for later — keep one eye on the horizon, on the systems and risks that might define the next leap.
I don’t believe progress comes from hype or blind optimism. It comes from people willing to do the hard work, test assumptions, and build the foundations quietly, while others are busy chasing buzzwords. That’s where I place myself: on the edge between what’s possible today and what’s inevitable tomorrow.