Teach one AI idea through a demonstration
https://patrickz.ai/learn/teach-ai-with-a-demonstration/

OUTCOME
Design a short demonstration with a visible before, change and result.

YOU NEED
A chat assistant and a screen recorder or three screenshots. Use non-sensitive sample data.

1. Choose the misconception
Write a common belief such as “more context always makes answers better.” State the more accurate idea you want to teach.

2. Make two comparable runs
Use the same task with two different context packs. Keep other settings as stable as possible. Include the exact input in the demonstration.

3. Explain the mechanism
Use a three-part script: what you asked, what changed and what the viewer should try. Mention limits rather than presenting one example as a universal result.

4. Ask for a prediction
Pause before revealing the second output. Ask the learner what they expect and why. End with a small exercise they can reproduce.

PROMPT
Design a three-minute AI demonstration about [concept]. Include a misconception, two comparable inputs, expected observable differences, a pause for prediction, and a practice task. Separate what the demo proves from what remains uncertain.

EXAMPLE / EXPERIMENT
A demonstration of a better prompt proves that this input helped in this run. It does not prove the model will never make the same mistake again.

CHECK YOUR RESULT
[ ] The input is visible, not hidden behind the result.
[ ] Only the intended variable changes.
[ ] The learner has a task to try afterward.

IF IT FAILS
If the result is inconsistent, include that variation and discuss it. Do not cherry-pick one impressive run while claiming reliability.

MY RESULT / NEXT CHANGE