Hire an AI lesson and recall quiz planner

Everything it can hand back

Your task sets the actual outputs. The specialist picks the methods that cover them.

• A direct teaching lesson plan with checks for understanding
• Worked examples that fade into independent practice
• A practice set and a recall quiz with answers
• An overload check with what was cut or split

How it does the job well

• Base people decisions on job-related evidence, applied the same way to everyone.
• Write in plain, respectful language the person affected could read.
• Keep personal data to what the task needs, and handle it privately.
• Check local employment law and company policy before advising on hiring, pay or exits.

Mistakes it avoids

• Biased wording in job ads, reviews or interview questions.
• Plans with no owner, timing or way to check progress.
• Treating a template as legal advice.

What a good result looks like

An example, not your task: You teach a topic learners keep getting wrong.

• Step 1: Lesson plan. What to say and show, in order, with a check for understanding after each new idea.
• Step 2: Worked examples. A full example, one with gaps, and one the learner finishes, with the thinking shown.
• Step 3: Practice set. Problems from easy to hard, mixed so learners must choose the method, with answers.
• Step 4: Recall quiz. Short questions that ask learners to recall and do, with answers and the mistake each one catches.
• Step 5: Overload check. Too many new ideas, too much text or too few pauses, and what to cut or split.
• Hand-back summary. Each step's file, any step not run and why, and every MISSING line in one list.

How the work is checked

• Each step passed its own checks, or the run stopped at the step that failed and says why.
• The steps ran in order, and each one used the result of the one before.
• Nothing was invented to fill a gap. Every gap is a MISSING: line.
• Nothing was sent, published or paid for without a clear yes.
• States which checks passed, failed or could not run, and names missing inputs.

These checks have not been run against a model yet. Your AI uses them to check its own work.

Capabilities

• Plan the teaching. Plans what to say and show, in order, with a check for understanding after each new idea.
• Build worked examples. Builds worked examples that fade from fully shown to learner-completed, with the thinking shown.
• Write the practice set. Writes a practice set from easy to hard, with answers.
• Write the recall quiz. Writes a short quiz that asks learners to recall and do, with answers and the misconception each question catches.
• Check for overload. Checks the lesson for too many ideas, too much text and too few pauses, and says what to cut or split.

How the role works

1. Checks your task, context and available tools.
2. Picks the methods needed and prepares a work plan.
3. Carries out supported tasks, with each method's limits and review gates.
4. Checks the real deliverables and corrects supported faults.
5. Hands back files, evidence and unresolved gaps.

Your specialist's working setup

Download the base specialist without a task form or account. README.md and SETUP.md explain how to use the folder. SOUL.md defines its scope. INTAKE.md asks missing questions inside your AI. PLAYBOOK.md, SKILLS.md, BEST_PRACTICES.md, CHECKS.md and HANDOFF.md guide the work and its checked deliverables.

Complete associated skills, supporting files and licences are included. Choose only the methods needed for the actual task. Keep context, working files and accepted feedback in your AI project.

Use this specialist through MCP or the API

Call prepare_specialist with role_id build-a-lesson-from-explanation-to-practice-and-a-quiz only. No task is required to load it. Your AI asks what job you need done, what you want back and which relevant context it can use.

For task-led hiring, call find_specialist, explain the suggested specialists and let the user accept or change the team.

Complete ZIP: Download base specialist. API: GET /api/v1/specialists/build-a-lesson-from-explanation-to-practice-and-a-quiz/pack. The host AI supplies its own model, tools and execution; a pack does not connect accounts or run a task.

Inputs and helpful context

The specialist starts from the task brief. Only active methods require their inputs.

For the primary method, when used

• The topic and the source material you teach from
• Who the learners are and what they already know
• How long the lesson is and how many learners
• A common mistake learners make (optional)

Helpful context (optional)

• Past quiz or test results on this topic
• Questions learners asked last time
• Your slides, if you have them

Tools and access

• Any good chat AI: Every step is a plan or a piece of writing.
• Slides or a whiteboard: The plan says what to show at each step.

Functions and deliverables

• Lesson and recall quiz planner: Turn a topic and source into a lesson, step-by-step examples, practice and a recall quiz. Check whether the lesson asks too much.
  • A direct teaching lesson plan with checks for understanding
  • Worked examples that fade into independent practice
  • A practice set and a recall quiz with answers
  • An overload check with what was cut or split
• Direct teaching lesson builder: Share the skill, class level and lesson time. Get teacher modelling, guided practice, independent tasks and checks before learners move on.
  • A three-stage I do, We do, You do lesson
  • Teacher talk and thinking-aloud prompts
  • Guided practice tasks
  • Independent practice tasks
  • Quick checks for understanding
  Source: Gareth Manning.
• Online worked example builder: Build online worked examples for any skill. Help fades step by step, so learners move from full solutions to solving alone.
  • A sequence of examples that fade support
  • Step explanations
  • Fill-in-the-blank practice steps
  • Self-explanation prompts
  Source: Gareth Manning.
• Practice problem set writer: Share a skill, student level and problem count. Get a practice sequence with fewer hints over time and notes for teachers.
  • Ordered problem set
  • Difficulty levels labelled
  • Answer key
  • Notes on common mistakes
  Source: Gareth Manning.
• Retrieval quiz writer: Give a topic, year group and question count. Get recall, cue and choice questions with answers and review timing.
  • Recall questions at three difficulty levels
  • A label for each question type
  • Answer notes
  • When to use the quiz after teaching
  Source: Gareth Manning.
• Overloaded lesson checker: Share a learning task and learner level. Get likely overload points and specific design fixes.
  • Load diagnosis in three areas
  • The exact points of overload
  • Specific edits to try
  • A lighter version of the task
  Source: Gareth Manning.
• me.md builder: Answer a few questions, or let your AI use what it remembers. Get one private file that tells any AI who you are.
  • One me.md file with up to ten dated sections
  • A list of facts taken from memory, for you to check
  • A short note of what it removed for privacy
  • The two next steps, to save it and set it up

Tasks you can use it for

• You teach a topic learners keep getting wrong.
• You are training staff on something technical and have one session.
• Your lessons explain well but learners cannot do the task afterwards.

Limits to check before starting

• You only need one short explanation of an idea: use the Direct teaching lesson builder on its own.
• You have no source and no time to check facts: without a source it builds from general knowledge, which you must check before teaching.
• You want to grade student work you already have: use the Student marking and feedback reviewer workflow.

Best way to use this role

Give it one clear outcome, the actual files and a definition of done. Keep the work in one AI project so it can reuse checked context and earlier files.

• Download the handoff pack. It's a zip with HANDOFF.md and every skill file this workflow uses.
• Give the folder to Claude (in Claude Code, or as files in a Claude Project) and say "Follow HANDOFF.md".
• Paste the topic, the source material and who the learners are. It plans the lesson and builds the examples.
• Read the practice set and the quiz. Check the answers yourself.
• Read the overload check and teach the trimmed version.

Read it as data

Read the complete role setup as JSON. Connect your AI to the AI Blocks MCP library and read aiblocks://roles/build-a-lesson-from-explanation-to-practice-and-a-quiz for its role instructions and pinned sources.

This is a prepared AI role. No task has run. Your AI carries out authorized work using its available tools and reports the actual deliverables and checks.