Two things to close out the foundational level.
First: take a piece of AI-generated content you have produced during this course and run the full two-tier review on it. Identify every factual claim that sits in tier one, verify each one against a primary source, and note what you find. Then run the five-question editorial checklist from this module. How much needed to change? What would have gone out unchecked if you had not done this? That gap, between the raw output and the verified output, is the space the review habit occupies. Knowing its size in your own practice is the best possible motivation for making it reflexive.
Second: set up your primary source bookmarks. Open the reference table in your companion PDF, bookmark the sources most relevant to the destinations and client nationalities you work with, and put them where you can reach them in seconds. The faster the verification check is to execute, the more consistently you will do it.
In Module 9 we begin the intermediate level with Projects and persistent workspaces. This is the shift from using AI on an ad hoc basis to building a structured, organised practice around it. You will set up your first project during the module, and it builds directly on the context document and prompting framework you have already established.
The foundational level has given you everything you need to use AI well. The intermediate level is about using it systematically. I will see you there.
