Reflective Foundations
The core skills for any reflection: trimming description, the "so what", handling feelings, depth, and turning learning into action.
Purpose
Write your own reflection. Use AI as a tutor.
These toolkit files turn an ordinary AI tool into a reflective-writing tutor. It helps you move from describing what happened to working out what it meant — without writing the reflection for you. Your experience, your feelings, your learning stay yours.
How it works
Choose the help you need.
Download a library, upload it to an AI tool, then type prompt to see the menu. Choose a tool and paste a passage of your own reflective writing.
If you get stuck at any point, say "I'm stuck" and the tutor will take a step back to help you find a manageable next move.
Not sure where to start? Try the Reflective Foundations library.
No download needed
Prefer to just start typing? Open a hosted version of the tutor in ChatGPT or Gemini. Read the short privacy note on the page first, and never paste anything that could identify a real person.
Choose a library
Use a mini library for free plans or focused work. Use the master library if you want everything in one file. Specialist libraries build in a professional standard, so they ask you fewer setup questions.
Current toolkit version: Reflective Writer v1.0.
Reflective Frameworks
Apply a named model: Gibbs; What? So What? Now What?; Kolb; Brookfield. Plus help choosing one and avoiding box-ticking.
NHS & Healthcare
NMC revalidation accounts, placement reflections, significant events, linking to the Code, and a careful anonymisation check.
Medical Reflection
Insight-focused portfolio and appraisal entries in line with UK reflective-practice guidance, with anonymisation and tone checks.
US & Academic
The DEAL model, service-learning, reflective journals, ePortfolio statements, and linking reflection to course outcomes.
New to reflective writing?
Read the short student guide on what reflective writing is, and why AI should not write it for you.
Privacy comes first in reflective writing
Reflective reports usually involve other people — patients, service users, clients, pupils, colleagues. Do not paste or upload anything that could identify a real person into a public AI tool unless you have checked your course, placement, employer, regulator and data-protection rules.
Removing a name is often not enough: a small set of ordinary details together can still identify someone. The anonymisation tools (NH4, MD3) and the anonymisation guide can help.
Why "reflect for yourself"?
The value of a reflective report is the understanding you reach by working through your own experience honestly. If an AI invents your feelings, your insight or your learning, the report is no longer reflection — and in professional contexts it can be misleading or against the rules.
So this toolkit draws a hard line: it will question you, explain the moves, show made-up examples on other content, and review your attempts. It will not write your experience, feelings, insight or learning for you. That boundary is the point, not a limitation.
What this toolkit can and cannot do
It gives you structured prompts for honest, learning-focused reflection: deepening the "so what", applying a model, meeting a professional standard, and checking anonymity and tone.
It cannot guarantee anonymity, replace your tutor, supervisor or regulator's guidance, or stop someone who wants AI to write their reflection. Its value is making the honest path the easy one.