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Lux Automaton
The AI Operating System
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ACE & LANA'S LEARNING LAB

Give Your Robot an AI Brain

Learn how AI makes robots smart. Design a decision-making system for your robot using prompts, rules, and logic. Ace tests the decisions, Lana reviews the safety.
Ages 11–153 hoursPro
Give Your Robot an AI Brain workshop hero

LESSON 01 OF 06

How AI Thinks

Today's make

Write 5 IF/THEN rules for a robot that helps in a kitchen. Example: IF stove is hot AND child is near THEN sound alarm AND move between child and stove.

Ace

Ace saysAI is not magic — it is math and patterns. An AI robot looks at information, finds patterns, and makes decisions based on rules it learned.

Lana

Lana's guideAI decision-making works in 3 steps: 1) Collect data from sensors, 2) Process data using rules/patterns, 3) Choose an action. The quality of the rules determines how smart the robot is.

LANAPARENT & TEACHER COACHNeed help teaching this lesson? Ask LANA.
01
What they're learning

Help the child understand the lesson goal and make one idea they can proudly explain.

02
Explain it simply

Invite the child to show you what they are making. Use short questions, give them time to think, and let their choices lead the project.

03
Ask your young builder

What are you making, why did you choose it, and what would you like to try next?

04
If they get stuck

Break the activity into one tiny next step. Offer two choices, model one example, and praise the child's effort instead of taking over the project.

LANA'S REMINDER

Guide the process without taking over. The child stays the creator; the adult keeps the experience safe, calm, and encouraging.

Build tips
  • Rules should be specific — 'IF temperature > 80°C THEN alert' not 'IF hot THEN alert'
  • Every rule needs a clear trigger AND a clear action
  • Safety rules should always override other rules
Before you move on

Can you explain how AI decision-making works in 3 steps?

Dr. Torrey Dooley

DR. DOOLEY'S SMART & SAFE CHECK

  • AI rules must be reviewed by an adult before implementation
  • Never let an AI robot make decisions about safety without human oversight
  • All AI systems should have a human override option