AI Agents Clearly Explained

In today’s episode, we explore the evolution of artificial intelligence from passive chatbots to autonomous agents that can think, act, and improve on their own.

Based on Jeff Su’s clear and insightful video “AI Agents, Clearly Explained,” we’ll walk through the foundational layers of modern AI. We begin with Large Language Models like ChatGPT—powerful, but reactive. Then we move into AI workflows, where humans design step-by-step automation using tools like Make.com. And finally, we reach the frontier: true AI agents that no longer wait for instructions but make decisions, access external tools, and iteratively refine their actions to achieve complex goals.

What separates a clever chatbot from a thinking agent? How do we move from scripting tasks to delegating intentions? And what does this shift mean for the future of productivity, decision-making, and the human role in AI systems?

Let’s dive in—and meet the agents that don’t just talk back, but think forward.

 

This episode is part of an experimental approach where artificial intelligence is not the protagonist, but the channel.

We use AI agents as expressive tools to shape content that is carefully selected, intentionally structured, and guided by human judgment.

We avoid algorithmic improvisation, aiming instead for conscious human design — a new format to explore ideas with agility, depth, and a distinct voice.

Artificial intelligence is merely the medium and the set of tools; the focus, the curation, and the meaning remain, unequivocally, human.