I've been writing about technical implementations, architecture decisions, and product strategies for years. Useful stuff. Necessary stuff. But I wanted a fresh start—a new space to explore whatever crosses my mind.
This blog is about technical product leadership and anything else that may or may not relate to it. Present challenges, past lessons, possible futures. No fixed agenda, just ideas worth thinking through as we navigate building products in the AI era.
To start, I did what product people do: I prototyped a future self. Someone who lived through the transformation we're experiencing right now and found wisdom worth sharing.
Meet Geiros AIA.
/// TRANSMISSION FROM 2053 ///
Geiros AIA: Architect of AI Stories
About Geiros
In 2053, when Artificial Intelligence is as commonplace as running water, Geiros AIA is 73 years old with a privileged memory. They spent two decades leading digital products and teams before dedicating themselves to teaching when AI became a school subject in 2031.
Now, with time for what truly matters, they spend afternoons with five nieces and nephews: Luna (16), Idan (9), Lean (8), Nuk (8), and Garlgai (7), who always arrive in a rush asking 'Are you telling us a story today, Geiros?'
The Method: Stories That Explain the Complex
For years, Geiros learned that the best explanations don't come from technical diagrams but from stories that connect emotionally. Their classes had no formulas at first. They told how in 2024 people wrote emails word by word, how cars needed constantly awake drivers, how hours were lost searching for information that now appears the moment you think it. They narrated the past as something fascinating and primitive, the way we talk about gas lamps or rotary phones today.
Their former students, now Human-AI Experience Architects and Ethical Systems Curators working just 20 hours a week, or even AI Synthesists and Digital Ecosystem Orchestrators, remember those stories as the moment everything made sense.
Why Share These Stories Now?
Because although everyone uses AI in 2053, Geiros notices that few truly understand how it works. People interact with it like their grandparents did with electricity: something that's just there. But understanding the fundamentals matters for being better users, more critical, more ethical.
Each story here was born from a real question in a real classroom. Geiros refined them over 17 years of teaching, observing what worked, what made students' eyes light up. They're simple stories with technical morals, tales that make you smile while they teach.
As Geiros says while pouring coffee for the kids: 'The best technology in the world is worthless if we don't know how to tell it well.'
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Maybe Geiros AIA will never exist. Or maybe they're already taking shape in the choices we make today about how we build, teach, and understand AI.
This is the first of many explorations. Some will be about futures like this one. Others about the messy, fascinating present of leading technical products. All of them trying to make sense of where we are and where we might be going.
Welcome to the new space.