Three things before Module 11.
First: write your global custom instructions. Use the five-category framework from this module: tone and register, format preferences, standing assumptions, avoidance instructions, and output behaviour rules. Enter them into your platform’s custom instructions settings. Start with what you know from the edits you have already been making to AI output across the course: every repeated correction is an instruction waiting to be written.
Second: review the project instructions for the client project you set up in Module 9. Do they include project-level custom instructions that are specific to that client and that piece of work? If not, add them. Think about what defaults should be different for this particular project compared to your global settings.
Third: use the tool for a full week with your new custom instructions in place. At the end of the week, review the edits you made to the output. Every edit that corrects the same issue more than once is a refinement opportunity. Update your instructions accordingly.
In Module 11 we move from individual prompts to reusable frameworks: building your prompt library. You will develop tested, saved prompt templates across five categories of travel advisory work, and each one will sit on top of the custom instructions and project context you have just built. The three layers, context, project and custom instructions, are the foundation. The prompt library is the toolkit you build on that foundation.
I will see you there.
