Teaching example: build a short “Run your first AI income experiment” course around the guide already published here. The six-session outline is available; this walkthrough explains how to develop and pilot a fuller course. It is not a claim that this expanded course has been delivered or that learner results have been measured.
Use the existing guide and six-session outline →
Step 1 · Human instructor + research worker
Define the learner and outcome
Name the learner’s starting point, prerequisite skills and final task. For example: complete an experiment brief with a buyer, offer, budget, evidence threshold and next action. Interview potential learners about where they get stuck.
Leave with: A learner brief and observable learning outcome.
Review before continuing: Is the outcome something learners can demonstrate, rather than “understand AI”?
Step 2 · Curriculum worker
Design backward from the task
Write a rubric before the lessons: specific buyer, evidence versus assumptions, bounded test, cost limit and decision rule. Break the final task into teachable steps.
Leave with: A lesson sequence and assessment rubric.
Review before continuing: Does every lesson help the learner complete the task? Remove tool tours that do not.
Step 3 · Research + content worker
Research and storyboard
Use primary documentation for tool instructions and keep a source/date log. For each lesson outline the problem, demonstration, guided practice, independent task and review.
Leave with: A storyboard with verified claims and example inputs.
Review before continuing: Can another instructor follow it? Are hypothetical numbers and examples labeled?
Step 4 · Designer + content worker
Make the learning assets
Create readable screenshots from real demonstrations, original diagrams, a workbook and a completed example. Add text descriptions for visuals and transcripts for recorded instruction. Use Figma when visual layout needs refinement.
Leave with: A lesson, worksheet, answer example and accessible visual.
Review before continuing: Does the image show the actual step? Is the text readable on a phone and in print?
Step 5 · Human instructor + QA worker
Pilot with learners
Invite suitable testers, explain the pilot scope and observe whether they can complete the task without rescue. Track unclear instructions, time spent and errors. Ask permission before collecting identifiable feedback or recordings.
Leave with: Pilot notes, rubric scores and a revision list.
Review before continuing: Completion is not mastery. Can the learner repeat the task with a different example?
Step 6 · Publishing worker + human
Publish and maintain
Check navigation, downloads and any enrollment steps. Explain prerequisites, contents and access terms. Keep an update log for changing interfaces and sources.
Leave with: A working lesson path and maintenance checklist.
Review before continuing: Do not promise certification, income or included subscriptions unless those are actually provided.
Copy the starter prompt
Design a practical lesson for this learner and outcome. Return prerequisites, an observable objective, a five-part storyboard, guided practice, an independent task and a rubric. Use my sources for product facts, mark gaps and label invented examples. Do not claim that learners achieved results. Keep the first lesson small enough to pilot.
Where this workflow can break
AI can produce a large curriculum without meaningful practice. Tool interfaces may also drift. Use one complete lesson as the quality standard, test it with learners, and revise the template before generating the rest.
Your practice assignment
Build one complete lesson, not ten outlines. Include a worked example, a blank worksheet, a learner task and a rubric. Use learner evidence to decide whether the next lesson is ready to make.
Get the brief, handoff and review templates
Keep a useful result log
Record what you attempted, what you accepted, corrections, cash spent, total human time and the next decision. A published output or completed lesson is an artifact; demand, learner performance and business results require separate evidence.
Explore the other workflows
Build and publish a website with agents · Research and test an income idea with agents