I want to name what is happening here, because the shift from general conversations to Projects is larger than a feature change. It is a change in how AI fits into your practice.
In the foundational level, AI was a tool you reached for when you had a specific task. You opened a conversation, gave it context, got output, and moved on. Useful, but episodic. Every session started largely from scratch.
With Projects, AI becomes an embedded part of how you work on a piece of business. It holds the context. It accumulates knowledge. It is there when you come back to a client file after two weeks and need to pick up exactly where you left off, with everything relevant already in place.
That is the difference between using AI and practising AI. And it is the difference that makes the intermediate level of this course possible, because everything from Module 10 onwards builds on the assumption that you have structured workspaces supporting your work rather than starting every session from a blank conversation.
