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AI agent for secondary school teachers

Exam Review Calendar Agent

The class covers every exam topic with review time matched to need before the exam date.

Exam Review Calendar Agent: what goes in, what the agent does and what you get

What it does

As an exam approaches, a teacher counts lessons left and realizes there are more topics than days. The agent maps every exam topic to the lessons remaining, then reads recent quiz and practice results to see which topics the class is weakest on. It builds a review calendar that gives more time to weak topics, places a short quiz at the end of each block, and leaves buffer days. After each quiz it reads the new results and updates the calendar, moving time from topics that are now strong to those that are not. If the calendar no longer fits the lessons left, it proposes what to drop. The teacher approves each version. Edge case: a school event removes a lesson and the agent rebuilds around it.

How it works

Follow the arrows from top to bottom. The orange dashed arrow is the loop: when a check fails, the agent goes back and tries again.

Start and resultWhat it doesA check on its own workWaits for your OKGoes back and retries
Yes, continueApprovedYes, continueNoNo 1 STARTS WHEN Exam prep begins or a quiz result arrives 2 USES A TOOL Read the spec, lesson dates and results 3 DOES Map topics to remaining lessons 4 DOES Score each topic by weakness and exam weight 5 DOES Build the review calendar with quizzes and bufferdays 6 CHECKS THE RESULT Does every topic fit in the lessons left? If not: Shorten strong topics, merge related ones orlist what to drop for the teacher. Back to step 3. 7 YOU APPROVE Teacher approves the calendar 8 USES A TOOL Publish the calendar and quiz plan 9 USES A TOOL Read results after each quiz 10 CHECKS THE RESULT Did the weak topics improve? If not: Reallocate time to topics still below target andrebuild the next block. Back to step 4. 11 RESULT Current review calendar
Read the steps as a list
  1. Exam prep begins or a quiz result arrives
  2. Read the spec, lesson dates and results
  3. Map topics to remaining lessons
  4. Score each topic by weakness and exam weight
  5. Build the review calendar with quizzes and buffer days
  6. Does every topic fit in the lessons left?If not: Shorten strong topics, merge related ones or list what to drop for the teacher. Back to step 3.
  7. Teacher approves the calendarThe agent waits here for your OK.
  8. Publish the calendar and quiz plan
  9. Read results after each quiz
  10. Did the weak topics improve?If not: Reallocate time to topics still below target and rebuild the next block. Back to step 4.
  11. Current review calendar

How it decides

It weights each topic by weakness and exam marks, and moves time to the weakest topics first.

  • Topics under 60% get double time
  • Keep 1 buffer day per week
  • Topics worth more marks get priority on ties
  • Drop a topic only with teacher approval

Make it yours

Every agent is a starting point. You choose these settings for your own situation.

  • Weakness threshold (default 60%)
  • Buffer days per week
  • Quiz frequency
  • Topic weights by marks
  • Calendar format

What keeps you in control

It always asks you first

  • Teacher approves each calendar version
  • Teacher approves dropping any topic

Hard limits

  • Never drop a topic without approval
  • Never publish to students before approval
  • Never rely on one quiz for a final decision

It stops when

  • Done: all topics covered and the exam date reached
  • Stop: lessons fall below the minimum for core topics

Set it up

We guide you through the set-up, step by step

Members get the full set-up guide for this agent. No technical skills needed: you copy, paste and upload.

10 minto set it up in your AI
5 AIsChatGPT, Claude, Copilot, Gemini, Grok
  • One set of instructions to paste into your AI, with the clicks for ChatGPT, Claude, Microsoft 365 Copilot, Gemini and Grok
  • The agent then walks you through connecting your own data, one source at a time
  • A downloadable copy with the flow chart, the rules and the full guide
Get access to this agent

An example run

What happensWith 18 lessons left and 14 topics, the agent finds 4 topics under 60% in the practice test. It builds a calendar giving them 2 lessons each and quizzes after each block. The check shows 20 lessons are needed, so it shortens 3 strong topics and the teacher approves. After the first quiz, 2 of the 4 topics are above 70%, so the agent moves a lesson to a third weak topic.

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