ROCKIN' M LAB

Working in the Reliability Gap

TRAINING

Many reliability problems begin with how people understand an AI system. These tools often feel simple. They look familiar. They produce results that seem polished. It is easy to assume that using them well is as simple as providing inputs and taking whatever comes out.

Training exists to replace that assumption with clarity. People can influence the outputs and outcomes of these tools. People can shape how a tool performs. Good use is possible. Misuse carries risk.

Our work is for people who are cautious but curious. Some are non‑technical. Some are technical but new to AI. All want to use these systems with more intention and more awareness.

Three ideas guide our approach.

These tools are simple, but using them well takes real intentionality.
We can influence how these tools behave through deliberate practice.
Using AI well is possible, and using it without care may make you lazy.

We offer material that shows how these tools behave in practice. When teams need deeper support, we run interactive workshops built to further strengthen understanding and help teams connect the dots. These sessions make behavior visible. They show the theory of what is happening behind the scenes, so that as the system evolves, you can evolve with it rather than having to relearn how to use the tool. They help people build the instincts to adapt quickly-to recognize shifts early and pivot with clarity instead of being caught off guard.

For individuals who want deeper guidance, we also offer 11 coaching. This extends the same principles-clarity, practice, and informed use-into a more personal format.

Training gives people a practical way to take part in reliability. It builds the habits and understanding needed to use these systems with confidence and care.

SELF-GUIDED COURSES

Introduction to AI

A practical, high-level introduction to the foundations of Artificial Intelligence. We’ll cover the core ideas behind modern systems, how they behave, and the concepts that matter when you start working with them.

Coming Soon

Introduction to Prompt Engineering

A practical introduction to how inputs shape system behavior. We focus on the patterns, structures, and constraints that make prompts more stable, predictable, and workable in real applications.

Coming Soon

INTERACTIVE TRAININGS

100+ people trained

Introduction to Prompt Engineering

Hands-on, small-group sessions (5–12 people) designed to go deeper into how these systems work in practice. We work through real exercises, build intuition for how prompts shape behavior, and connect the tools to the actual work people are trying to do.

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1:1 COACHING

From 0 to 100 using AI

Individual coaching with weekly or bi-weekly sessions focused on your actual work. We identify a small set of meaningful use-cases and walk step-by-step through how to accomplish them using Artificial Intelligence. The goal is to build confidence, clarity, and the ability to use these tools in a deliberate, reliable way.

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