Why Andragotech · Health

I didn't start Andragotech because I found a comfortable niche. I started it because, after two decades inside adult education, I got tired of looking for someone who spoke with real depth about the point where four things intersect: andragogy, healthcare training, artificial intelligence, and real-world regulation.

In Portuguese, that point was empty.

Academics talk about theory. EdTech managers talk about technology. Regulators talk about compliance. Each one, sitting in their trench, speaking to their own.

But the healthcare professional in training — physician, dentist, resident, fellow, medical student between Brazil and Portugal — lives all four at the same time. And what is being written doesn't answer their questions.

What this publication is

Andragotech is an attempt to name the territory that doesn't yet have a name.

It's not a blog. Not a course. Not a trends newsletter. It's a cartography in progress. Each article draws a piece of the map: sometimes an andragogical principle applied to a real clinical case, sometimes a regulatory analysis affecting those who teach and learn, sometimes an experiment with AI agents I ran inside a real institution, sometimes a comparison of how Brazil and Portugal train healthcare professionals.

Each article bets that specificity creates more authority than generalism. That saying "the TRI methodology in ENAMED 2024 is doing X" is worth more than saying "higher education needs to modernize." That describing a concrete failure in the Brazilian medical residency teaches more than presenting theory without case.

What this publication is not

It's not entertainment. Not motivation. Not algorithm-bait.

I won't write "5 tips for teachers in 2026" or "how AI will revolutionize education." There's already too much of that. Those texts tend to be good exactly for those who won't apply anything.

Who it's for

For you, if you are one of these people:

• An EdTech manager in healthcare, trying to build a product that respects how adults learn
• A regulator or policymaker, watching AI arrive before the norm
• A faculty or residency director, trying to explain to faculty why things must change
• A medicine professor who feels alone asking "how do adults learn?"
• A professional building AI agents applied to education, wanting to understand what andragogy has to say
• A Brazilian or Luso-Brazilian medical student, living the tension between two systems

The promise

Two articles per week. Monthly newsletter. Density > length. Specificity > generalism. Real case > abstract theory. Authorial voice > institutional tone.

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Rodrigo Paiva, Lisbon, 2026.