Kacey Robb / JusCollege

The context

JusCollege did not need another lecture about AI. The team needed to see what changed when AI was used with better context, clearer instructions, and a workflow that matched the work they already had.

The first sessions focused on practical behavior: how to prepare the model, how to give it the right background, and how to turn real meeting notes and internal context into useful output.

The shift

By the second session, the team was already changing how they worked with AI.

"I started to set the foundation at first... giving it a lot more context. And I noticed that that did vastly improve the responses I was getting."

That is the important adoption signal. The team was not simply trying prompts. They were learning how to create the conditions for better AI output.

The artifact

The team built a saved Claude meeting prep skill that turned real meeting notes into a useful brief with:

• action items
• updates
• topics to cover
• context for the next conversation
• a repeatable structure the team could reuse

That is what effective AI training should produce: not enthusiasm, but a working behavior change.

The result

The proof point was early but strong. The team could feel the difference between casual AI usage and structured AI workflow design.

"I feel like a whole new person."

For JusCollege, the value was not just one workflow. It was the team learning how to use AI with more context, more confidence, and more practical connection to the work already on their desk.