Interactive roadmapLearners who ask questions, enjoy new tools, or need help turning ideas into clear outputs.

AI Roadmap

A safe, practical path for using AI as a thinking partner while building judgment, creativity, and verification habits.

Best for

Learners who ask questions, enjoy new tools, or need help turning ideas into clear outputs.

Parent promise

By the end, your child should know how to use AI without blindly trusting it or copying from it.

Beginner path

Learn what AI is, how to ask better questions, and how to verify answers.

  1. Week 1: Understand AI in plain language - patterns, predictions, and limits. Ask AI to explain the same topic for a beginner and an expert.
  2. Week 2: Ask better questions - specific prompts and context. Rewrite a vague question into a clear prompt.
  3. Week 3: Use AI for explanations - learning support without copying. Ask for a simple explanation, then teach it back.
  4. Week 4: Check if AI is right - verification and skepticism. Find one AI answer that needs checking.
  5. Week 5: Brainstorm creatively - idea generation and selection. Generate 20 project ideas, then choose the best 3.
  6. Week 6: Create with AI carefully - images, writing, and responsible remixing. Use AI to brainstorm a poster, then design it yourself.
  7. Week 7: Build a study helper routine - practice questions and review. Ask AI for a mini quiz on one school topic.
  8. Week 8: Protect privacy - safe information habits. Make a list of things never to share with AI.
  9. Week 9: Make a human-first project - using AI as assistant, not author. Build a project where the child makes final choices.
  10. Week 10: Review and choose next AI skill - reflection and responsible growth. Write three rules for using AI well.

Advanced path

Turn AI from a novelty into a serious workflow tool for research, building, and communication.

  1. Week 1: Build a prompt framework - role, goal, context, constraints, and output format. Create one reusable prompt template.
  2. Week 2: Research with verification - source comparison and evidence quality. Compare an AI summary with two reliable sources.
  3. Week 3: Use AI for project planning - milestones, constraints, and scope. Turn a big idea into a 10-step plan.
  4. Week 4: AI for coding support - debugging explanations and code review. Ask AI to explain an error and suggest tests.
  5. Week 5: AI for design iteration - briefs, critique, and alternatives. Ask for critique of a poster or interface, then improve it.
  6. Week 6: Build an AI-assisted portfolio piece - human ownership and process notes. Create one project that documents where AI helped and where it did not.
  7. Week 7: Automate a small workflow - repeatable productivity systems. Create a weekly study review workflow with AI prompts.
  8. Week 8: Study AI ethics - bias, privacy, ownership, and accountability. Analyze one AI mistake and explain why it matters.
  9. Week 9: Create a personal AI rulebook - boundaries and high standards. Write rules for when AI is allowed, limited, or not used.
  10. Week 10: Pick an AI specialization - future direction and next project. Choose AI for coding, design, research, business, or learning.