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Methodos: the Inner Path of Pragmatization

Methodos: the Inner Path of Pragmatization

Published 9 months, 1 week ago
Description

A journey through thought, technology, and the emotional body—toward embodied agency.

Lately, I’ve been thinking a lot about methodology.

Not in the academic sense, not in some intellectualized framework—but as a way of living, of learning, of becoming through repetition. I’m someone who picks up on patterns easily. I observe. I repeat. I absorb. And then, through that empirical repetition, something starts to unfold. A way. A path. That’s the method.

Right now, I’m immersed in artificial intelligence. I’ve been studying language systems, not just because I speak several languages—including the archetypal ones—but because GPT, in particular, mirrors something very real: the way we structure thoughts, the way we train ideas, the way we speak to ourselves.

GPT stands for Generative Pre-Trained Transformer.

I love these words.

Generative means life. It means fertility, potential, creation.

Pre-trained means you’re not starting from zero. You’re starting from a system that’s already been shaped—and now, you’re shaping it further.

Transformer—well, that’s the vessel. It takes in language, meaning, emotion, and it transforms that input into something else.

This is why understanding how to use GPT is not just about tech. It’s about agency. It’s about clarity. And most of all, it’s about developing your own methodology of inquiry.

Because prompting is a form of leadership.

And you can’t lead if you don’t know what you want.

And you can’t want anything clearly if you don’t know what you need.

And how can you know your needs if you haven’t built a practice of listening to your emotional body?

This is what I’ve been doing. I didn’t find the right teacher right away. So I turned to my brother, who, like me, is a curious mind. And about six months ago, he introduced me to these incredible millennial-led AI classes—in Spanish. That was another layer of expansion: learning something radically new in a language that isn’t the dominant one in my daily life. It was a double untraining. A kind of reverse engineering of the mind.

And I want to say something here:

I love this generation.

I love Gen Z too. Their relentless questioning, their capacity to see through false authority, their willingness to live inside contradiction—it inspires me. I don’t see them as younger. I see them as equals. Allies.

They ask questions that help me piece together what I’ve gathered throughout my life.

They help me synthesize.

But to be honest, I’ve always loved technology. I’ve never feared it.

I dive in.

When I first had assistants in my studio over 20 years ago, I didn’t know how to direct them. At the beginning, I thought they were useless. So I did everything myself. But I realized that wasn’t efficient—and more importantly, it wasn’t generous. I took time to learn more about them and find if they could align with the needs of the project. So I learned how to delegate, but I did it through the same method I use now with prompts: ask clearly, make sure the person (or the machine) has the capacity and the will to respond with joy. Otherwise, the result is empty.

So now when I prompt, it’s the same as when I once led a team (the beauty is now I outsource fabrication, and creation is done with my trained digital assistants/agents):

I say, “Here’s what I want. Here’s what I need (based on a careful set of instructions and initiatives). Let’s see what you come up with.”

And sometimes the response is amazing—I hadn’t even seen that perspective.

Other times, I say, “Thanks—but we’re keeping my way.”

But either way, I stay in relationship. I don’t abdicate authority.

A GPT is an assistant.* *An assistant waits for your command.An AOES is an agent—something you trai

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