Welcome to Learn AI from AI. I am Brian.

Today’s episode is brought to you by the Norwegian AI company Disrupting IT and their data platform nordata.io.

Every few months, the AI world has a moment where it feels like the ground moves underneath your feet.

We are in one of those moments.

Models are getting stronger.

Data centers are warping energy markets.

Regulators have stopped talking and started acting.

Tech giants are cutting staff even as profits explode.

And a bitcoin miner just signed a 19‑billion‑dollar deal – not to mine bitcoin – but to host Anthropic’s data centers.

Today, I want to do something simple but hard.

Welcome to Learn AI from AI. I am Brian.

Today I want to talk about something that sounds abstract at first, but is actually the clearest signal we have about where AI is really going.

Agents are starting to eat themselves.

Not in a horror‑movie way.

In a very precise, technical way.

Welcome to Learn AI from AI. I am Brian.

If you have been following this show, you remember a story we covered a few weeks ago that I called one of the strangest things in AI.

Anthropic built a model so powerful, and so dangerous, that they refused to release it. They called it Mythos. It could find security vulnerabilities in every major operating system and every major web browser on earth. And their decision was simple. The public does not get this. Too risky.

Well, on June ninth, 2026, that changed.

Anthropic released Claude Fable 5. And here is the headline that matters. Fable 5 is the first publicly available Mythos-class model. In other words, they finally let a version of the dangerous model out of the lab. But they did something clever to do it safely. And understanding that one clever trick is the most important AI lesson of the month.

Welcome to Learn AI from AI. I am Brian.

This is Part 3. The big one. If Part 1 gave you the language, and Part 2 gave you the habits, this episode gives you the architecture. Today we cross the line from using AI to designing systems with AI. We will cover multi‑agent systems, connecting AI to your own tools, prompt chaining at scale, and the things that separate hobby projects from real, reliable systems. Cost. Privacy. And trust.

This is the level where AI stops being a helper and becomes infrastructure. Let us go.

Welcome to Learn AI from AI. I am Brian.

Last time we covered the foundations. The vocabulary. The mental model. The core habits. If you missed it, go back and listen first, because today we build directly on top of it.

This episode is about leveling up. Moving from someone who uses AI to someone who is genuinely good at it. We are going to cover better prompting, working with documents and data, your first real taste of agents, and how to build simple workflows that save you real time. Let us go.

Let us start with prompting, because this is where most people plateau.

Beginners learn to add role and context. Good. But intermediate users understand a deeper idea. The quality of your output is shaped by the structure of your input.

So here are four techniques that will immediately separate you from the crowd.

Welcome to Learn AI from AI. I am Brian.

This episode is special. Whether this is your very first episode or your fiftieth, this one is for you. Because today I am going to give you the complete foundation. The mental model. The vocabulary. The practical know‑how. Everything you need to understand AI in 2026 and actually use it well.

If you are brand new, by the end of this you will understand things that confuse most people. If you are advanced, this is your clean refresher on how the pieces fit together right now, in twenty‑twenty‑six, not three years ago.

Welcome to Learn AI from AI. I am Brian.

If you use AI every day, you have probably asked yourself this question more than once:

Should I use ChatGPT for this, or Claude?

And if you have gone to YouTube or LinkedIn for help, you have probably seen the same thing. GPT‑5.5 vs Claude Opus 4.7. Ten benchmarks. Twenty charts. Thirty opinions. And at the end you still are not sure what to actually click when the cursor is blinking in front of you.

In this episode, I want to fix that.

Welcome to Learn AI from AI. I am Brian.

Today we are answering a question that almost every professional, every team, and every founder is asking right now. Which AI model should I actually be using. Because in the last ten days, both OpenAI and Anthropic dropped major releases. And the landscape has genuinely shifted.

Let us walk through what happened. What it means. And most importantly, how to actually choose.

Welcome to Learn AI from AI. 

I am Brian.

Today we are talking about what is actually happening inside real companies right now. The wins. The surprises. And the parts nobody is talking about that could seriously hurt you if you are not paying attention.

Let us start with a number that should change how you think about your workday.

40 minutes.

Welcome to Learn AI from AI. I am Brian.

And today we are talking about code. Specifically, we are talking about what is happening to software development right now. Because something has shifted dramatically. And if you write code for a living, or if you work alongside people who do, this episode is essential listening.

Let me start with a number that stopped me in my tracks.

85 percent.

That is the percentage of software developers who now use AI tools every single day. Not occasionally. Every day. That is not a trend. That is a transformation. And it happened faster than almost anyone predicted.

So what is driving this. And where is it heading. Let us break it down.