What gets built:
AI agent case studies.
Each of these started as a real problem on a real team. Meetings that weren’t read, prep that ate calendars, reviews that bottlenecked at one person. Each one ended the same way: a workflow that runs unattended, with a daily human checkpoint, in the team’s own voice.
Notice. Prompt. Skill. Agent. Rollout.
Read enough of these and a shape emerges. Someone on the team notices a workflow that’s eating senior calendar. They write a prompt to handle one slice of it. The prompt becomes a Skill. The Skills compose into an Agent. The Agent gets a daily human checkpoint and a rollout plan.
No magic. No vendor. No literacy programme. Just the same five steps, applied to a problem that mattered enough to the senior person to spend two days on.
This is what the course teaches. These are what graduates build.