If you have used an AI tool before this course, even briefly, there is a good chance you experienced something like this. You typed a request, got a response that was competent but generic, edited it quite a bit to make it sound like you, and then closed the tab. The next time you opened it, you started from scratch. Same explanation of who you are, same briefing of what you do, same corrections to the tone.
That is not a habit problem. That is a setup problem. And understanding why it happens is what makes the solution make sense.
AI tools have two types of memory, and the distinction between them is important. The first is short-term memory: everything the tool knows within a single conversation. While that chat window is open, the tool remembers what you have told it, how you have corrected it, and what you have asked it to produce. It is building a working understanding of you in real time. But the moment you close that tab, that understanding is gone.
The next conversation begins with no recollection of the previous one. None of the corrections you made, none of the context you provided, none of the calibration that happened across that session: all of it resets. This is why the inconsistency you experienced was not occasional. It was structural. Every new chat is, from the tool’s perspective, a first meeting.
The second type is long-term memory: context that persists across conversations, sessions and time. This is what a Project gives you. When you work within a Project in Claude or ChatGPT, you can store your professional context, your files, your preferences and your instructions at the project level, where they remain in place regardless of how many individual conversations you open within it. The tool does not forget between sessions because the memory is no longer stored in the conversation: it is stored in the workspace itself. That is the architectural difference between a chat and a Project, and it is why the two produce such different experiences over time.
What we are building today sits at the heart of both. Your personal context document is a written brief about you, your practice and your clients. In the short term, you can paste it at the start of any conversation to give the tool an immediate foundation. In the long term, saved inside a Project, it means the tool already knows who you are before you type a single word. Either way, it is the single most practical thing you will do in this course. And once it exists, every AI interaction you have from this point forward will be more consistent, more calibrated and more useful than everything you did before it.
