Words
stories, plans, explanations
Today: understand it. Question it. Then use it to build something real.
Ask: “Where have you seen AI?”
Tap each card to reveal.
Ask everyone to predict before revealing.
A computer studies many examples and adjusts the pattern map.
Two stages: train the model, then use the model.
Choose the piece that seems most likely.
Then it predicts the next piece. And the next. Very fast.
The most likely answer is not always the true answer.
stories, plans, explanations
illustrations, ideas, variations
websites, games, tools
voices, music, effects
Best use today: make a small version, then test it.
Sounding sure is not the same as being right.
It may invent a fact, source, date, quote, or answer that fits the pattern.
It is a prediction that sounds plausible—but is not grounded in truth.
Our move: pause, check, and use a reliable source.
Ask: “What kinds of answers would you always verify?”
Give a clear goal.
Read and try it.
Check facts and behavior.
Change one thing.
Repeat: Ask → Inspect → Verify → Improve.
What are we making?
Who will use it?
What must it do or avoid?
What should the result look like?
How will we test it?
Ready for a 30-second family prompt challenge?
Goal · Audience · Constraints · Format · Check
Ask: “What information is missing?”
When unsure: stop and ask.
Meal planner · Ravens tracker · Picture routine · or something new
chooses the goal, judges the result, and explains the decisions
offers drafts, options, explanations, and code
coaches scope, safety, truth, and testing
The AI helps. The maker decides.
AI is powerful when people stay curious, careful, and in charge.
Ask: “What do you want to build?”