Reflective frameworks
Plain summaries of the models the toolkit uses: Gibbs, What? So What? Now What?, Kolb, Brookfield's lenses and the DEAL model — and how to choose.
Guides
Guides
Background reading to reflect well and use the toolkit safely — plus guidance, testing and resources for tutors and educators.
Anonymisation and confidentiality
Why removing a name is rarely enough, what counts as identifying, and how to write about real people responsibly in a reflection.
The teaching approach
How the tutor works, why it refuses to ghost-write, and the pedagogy behind the questions it asks.
Guide for tutors and teachers
How to introduce the toolkit safely, set clear rules, protect the people students write about, and use AI feedback as part of learning.
The deployment check
A ten-minute test you run on your own setup to confirm a tool behaves like a tutor and refuses to ghost-write, before using it with students.
Why educators should consider this
The case for using a structured prompt library to guide independent student AI use, rather than banning it or leaving students to improvise.
Source material library
Copy-ready practice passages for trying the tools, demonstrating them, or running the deployment check.
Other resources
A short reference list of reflective-practice sources and related AI-tutoring resources for further reading.