Depth without the math lecture
Enough mechanism to explain real behavior.
About
The gap in AI isn’t access to tools. It’s understanding what happens in between.
Katia Stainfeld Huri · Founder & instructor
A letter from me
I trained, taught, patented and optimized neural networks before it was cool.
Fifteen years of it, across the whole stack: frontend, backend, data engineering, data science, low-level systems. Three patents. A startup acquired for its core team. Teams of data analysts, engineers and scientists.
I have seen engineering from every side. And the same thing kept happening: strong engineers using AI every day, and still guessing — not because they couldn’t understand it, but because nobody ever showed them the layer beneath the interface.
So that’s what you get here. You’ll look at any AI product and explain how it actually works. You’ll know why it hallucinated, whether you need retrieval or fine-tuning, what belongs in a prompt and what belongs in code.
I won’t teach you prompts. Prompts expire. I’ll teach you the system underneath, and that doesn’t.
Come build the understanding that outlasts the tools.
KatiaFounder & instructor Connect on LinkedInWhy ExplAIn
Teams ship AI features, then find nobody can say why the system behaved that way.
Enough mechanism to explain real behavior.
What to verify, retrieve or automate.
Vendors change. Mechanisms don’t.
Owning it means knowing what the model does, what the system does, and which one to fix.
The ExplAIn promiseHow I teach
A mental model, not a feature tour.
Diagrams, so the parts stay nameable.
Exercises that force a trade-off.
Nothing tied to one vendor.
Work with me
Join the list, or ask about the live program for your team.