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AI agent for training coordinators

Course Prerequisite Mapping Agent

Every lesson's prerequisites are taught earlier in the course.

Course Prerequisite Mapping Agent: what goes in, what the agent does and what you get

What it does

New lessons sometimes assume knowledge that earlier modules never taught. Learners then fail without knowing why. This agent extracts every skill a lesson draft assumes, searches earlier modules for where each one is taught, and lists the gaps, most critical first. For each gap it drafts a short bridging exercise. It then checks that the bridge itself relies only on skills already covered. If a bridge depends on another missing skill, it revises the bridge or flags that the course order should change. The curriculum coordinator approves the repairs. Edge case: a skill taught only in an optional module counts as not covered for learners who skip 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, continueYes, continueApprovedNoNo 1 STARTS WHEN Lesson draft submitted 2 DOES Extract assumed prerequisites 3 USES A TOOL Search earlier modules for coverage 4 CHECKS THE RESULT Is every prerequisite covered earlier? If not: draft a bridging exercise. Back to step 3. 5 CHECKS THE RESULT Does the bridge rely only on covered skills? If not: revise it or flag sequencing. Back to step 4. 6 YOU APPROVE Curriculum coordinator approves 7 RESULT Prerequisite repair draft
Read the steps as a list
  1. Lesson draft submitted
  2. Extract assumed prerequisites
  3. Search earlier modules for coverage
  4. Is every prerequisite covered earlier?If not: draft a bridging exercise. Back to step 3.
  5. Does the bridge rely only on covered skills?If not: revise it or flag sequencing. Back to step 4.
  6. Curriculum coordinator approvesThe agent waits here for your OK.
  7. Prerequisite repair draft

How it decides

It investigates the most critical uncovered prerequisite first and checks each bridge against coverage too.

  • Which gap first: the one most critical to the lesson's objective.
  • Bridge or reorder: reorder modules when bridges would chain more than two levels.
  • Covered: only when taught in a required earlier module.
  • Bridge length: keep bridges under 15 minutes or flag for a new lesson.

Make it yours

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

  • Maximum bridge length (default 15 minutes)
  • Which modules count as covered (default required modules only)
  • Format of bridges (default short explanation plus 3 practice items)
  • When the check runs (default on every lesson draft)
  • Who approves (default the curriculum coordinator)

What keeps you in control

It always asks you first

  • Changing learning outcomes

Hard limits

  • Draft only.

It stops when

  • Done: all prerequisites covered.

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 happensOn February 26 a lesson on reading graphs is submitted. The agent finds it assumes the idea of scale. The earlier module covered axes but not scale, so the coverage check fails. It drafts a 10-minute scale bridge. That bridge uses decimals, which also are not covered, so the second check fails and the agent rewrites it with whole numbers. Coordinator Lydia Chen approves the bridge.

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