I'm Redesigning Everything.

Here's Why:

For the past year, I've been building AI fluency training—teaching how LLMs actually work under the hood, why they're not databases, why your mental model matters more than the tool itself.

I spent the last few months positioning that work for corporate teams. But I'm stepping back to redesign the whole approach.

What I Know About AI (That Most Training Skips)

Generative AI works through probabilistic pattern prediction. Not reasoning. Not memory. Pattern prediction.

That distinction matters because most people bring the wrong mental model to AI. They expect it to behave like their other software—databases with reliable memory, rule-based systems that follow instructions consistently. When it doesn't, they either avoid it entirely or lean on it for tasks it fundamentally can't handle.

The gap between expectation and reality is where budgets disappear and frustration builds.

People use AI for document review when context windows can't handle it. They expect repetition to work like emphasis when it actually increases pattern salience. They trust confident responses without verification protocols. They assume the risk is too high—or they assume the risk doesn't exist.

AI doesn't fail. People fail because they're using the wrong mental model.

When you understand how AI actually works, you stop expecting it to be reliable like a database and start using it for what it's actually good at. That shift saves time, reduces frustration, and prevents problems before they happen.

What I Teach

I teach the foundations most training skips: tokenization, context window limitations, why "memory" isn't storage, how to select the right tool for the task. Not role-based use cases that'll be outdated in six months—the principles that let you adapt as tools evolve.

I also teach the importance of guardrails. AI tools come with built-in system guardrails, but those aren't enough. You need end-user guardrails: boundaries for scope containment, verification checkpoints before outputs go live, protocols for what never touches an LLM.

The goal isn't teaching you to trust AI. It's teaching you to understand it—so you know when to use it, when to verify, and when to walk away.

What's Changing

I'm rethinking how this work gets delivered. The training itself works—people consistently tell me the mental model shift changes everything. But I'm redesigning the format, the audience, the structure of the offer.

I'll have more to share soon. If you want to stay updated, or just connect in the meantime, drop me a line at heatherowen@genuinestewards.com.