Days 1 and 2: notice and make an agreement
Day 1: Look for examples of computer predictions in everyday life, such as suggested videos or predictive text. Discuss what the system might be trying to predict. Be careful not to assume every automated feature uses the same kind of AI. Draw a prediction machine and label what it might get wrong.
Day 2: Make a family agreement. Decide which activities are adult-led, what information stays private, how to respond to something upsetting, and when to stop. Keep the agreement short enough to remember. The goal is an ongoing conversation, not a contract that replaces supervision.
Days 3 and 4: patterns and checking
Day 3: Play the paper sorting game from our AI-for-kids guide. Choose examples, guess a rule, and test it with something new. Talk about what happened when the examples were misleading. No account or screen is necessary.
Day 4: Choose a factual claim from a book or educational activity. Find a reliable source to check it. If an adult uses an AI tool for a comparison, they should verify the output before sharing. Teach the habit of checking the source itself, not trusting a citation because it looks official.
Days 5 and 6: plan and make
Day 5: Let your child choose a small project: a paper game, a three-panel comic, or a quiz. Write one sentence describing the finish line. Ask who will use it and what should be enjoyable or useful about it. Sketch before choosing software.
Day 6: Build the first version with suitable materials or an age-appropriate coding tool. Keep it small enough to test that day. Ask someone to try it without instructions beyond what the project provides. Watch where they hesitate; that is useful feedback, not a verdict on the maker.
Day 7: hold a tiny demo
Give your child a few minutes to share the result. Ask: What did you decide? What did you change? What help did you use? What do you want to try next? Explain that showing unfinished work is allowed.
Repeat the parts the family enjoyed and drop the ones that did not fit. This is an optional sequence of activities, not a claim that AI literacy can be mastered in a week. A sustainable rhythm of making and questioning matters more than completing seven boxes.
