Planning, marking and reports.
Step-by-step routines for planning, marking, feedback and reports, with the prompts included.
For UK teachers
Practical AI for
UK classrooms.
Practical AI and edtech for UK teachers: prompts, workflows and checks for planning, marking and reports, without putting pupil data at risk.
What you’ll get
What each issue
covers.
Each issue takes one job from a normal school week, such as a set of books to mark or a batch of reports, and gives you a prompt to adapt and the checks to make before you use the result.
Data protection and guidance.
Data protection, safeguarding and the current DfE and JCQ guidance, explained for the classroom.
Notes on specific tools.
AI and wider edtech: what a tool does well, where it falls short and what to check first.
About
Who writes
this.
I’m Rizvan Ali. I spent eight years teaching maths and science in UK secondary schools, and I now work as a senior AI engineer.
Most of what I read about AI in education is either excitement about tools that will “transform” everything, or warnings that leave teachers unsure whether to touch it at all. Neither helps on a Tuesday evening with thirty books to mark. So each guide picks one task, gives a prompt you can adapt and says what to check before the result reaches a pupil or parent.
Starter guides
Start here.
Four short guides.
The basics, in the order worth reading them. Each one takes a few minutes and ends with something to try this week.
-
01
The one rule before AI touches your schoolwork.
What pupil data an AI tool may see, and what the DfE guidance means for a classroom teacher.
-
02
Lesson planning with AI: first drafts only.
A prompt to try, a template worth saving and the four checks to make before anything reaches your class.
-
03
Whole-class feedback with AI.
Where AI helps with marking, where it doesn’t, and a four-step workflow for your next set of books.
-
04
Report writing without sharing pupil data.
Draft report comments from your own bullet notes, with pupil names never going into the tool.