Teach the actual steps with worked examples
Show learners the inputs, decisions, and checks behind a result. A worked example makes an explainx workshop technique easier to reproduce and adapt.
In this article
Prepare a representative task
Use a realistic but non-confidential input. State the goal and constraints before opening the tool. Explain why you chose the approach and what an acceptable result should contain.
Show the review process
Include an imperfect output and how you detect the problem. For an AI-generated answer, compare claims with sources or a task-specific rubric. Explain which corrections require human judgment.
Let learners adapt it
Give learners a variation that changes one constraint. Ask them to explain what they kept and what they changed. Share a short checklist they can use after the session. Avoid hiding essential decisions behind a polished demo that only works with the exact input you prepared.
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