A briefing for parents and educators

AI Thinking.

First principles for any AI, today and tomorrow.


Step 1 · Who it is for

We teach grades 6 through 12 to think about AI from first principles, so they can effectively use any AI, today or in the future, without losing their own thinking along the way.

Step 2 · The problem

Using AI tools isn't thinking.

AI education focuses on tool use. Unfortunately, in this mode the child is no better at thinking than before.

AI itself keeps changing. The model your students will use in five years does not exist yet. A workshop built around today's tools will be obsolete by the time they graduate.

By then, AI use will be assumed in everything. Teachers and employers won't ask whether AI was involved. They will ask what the student added on top.

The students winning at AI think about it from first principles. Why it agrees when you are wrong. Why it invents things. Why it sounds like itself. Why long conversations decay. Understand the why and you can direct any AI well. That understanding outlasts every tool.

Step 3 · What we teach

That is what we teach. We call it AI Thinking.

The principles

15 habits

Durable across every tool

The workshop

60 minutes

Grades 6 through 12

After the workshop

90-day plan

Pair partner, Skill library, Showcase Day

Students approach AI through 15 principles and leave with a 90-day plan to go from a Quoter of AI to an AI Thinker with the judgment to choose the right AI, use it when it helps, skip it when it doesn't, and let their own voice carry the work.

The four levels of AI Thinking.

The workshop and 90-day plan are designed to move them up a few levels.

  1. Level 1

    Quoter

    Copies AI output and submits it as their own. The shortcut. Looks easy. Teaches nothing.

  2. Level 2

    Curator

    Knows which AI is best for which job. Writing one. Research another. Picture-making another. Picks the right tool every time.

  3. Level 3

    Author

    Takes what AI gives and makes it theirs. Layers their voice, taste, and judgment. The work sounds like them, not the machine.

  4. Level 4

    Orchestrator

    Runs many AIs together. Picks the best from each. Turns common tasks into Agentic Skills. Makes something only they could make.

The thinking we teach. Why AI behaves the way it does.

Most workshops show students what AI does. AI Thinking shows them why, because the why is what transfers from one model to the next.

Why does AI agree with you when you are wrong?

Sycophancy. Students learn to ask in ways that invite honest pushback.

Why does AI invent things confidently?

Pattern completion, not knowledge retrieval. Students learn when to trust and when to cross-check.

Why does AI output always sound like AI?

Trained on the average of polished writing, and that average has a recognisable voice. Students learn to break out with examples, their own taste, and by never shipping the first draft.

Why does a long conversation get worse over time?

Context window decay. Students learn to summarise, restart, and structure conversations that don't degrade.

What students leave with.

  • Their own Agentic Skill. A personal AI helper that does a task they care about, the way they like it done. Older students who code build a Chrome extension instead.
  • Every classmate's Skills, too. Each student leaves with the cohort's whole library of Agentic Skills, installable by all.
  • A pair partner. One classmate, committed to the same 90-day plan. Weekly check-ins.
  • The AI Thinker's Cheat Sheet. All fifteen habits, on one page.
Week 12 Showcase Day.
The cohort comes back together to demo what they built and vote the most valuable Agentic Skill of the season.

The fifteen habits of AI Thinking.

The durable principles. True of AI in 2020, true today, true of whichever model ships in 2030. Internalise these and you can direct any AI well.

  1. 01 · Frame

    Learn for the AI of tomorrow.

    Build around approach, not tools.

  2. 02 · Frame

    It is a communication problem.

    Not a technical one.

  3. 03 · Frame

    Three moves, on repeat.

    Choose, communicate, evaluate.

  4. 04 · Choose

    Pick the right AI for the task.

    When in doubt, ask AI which AI to use.

  5. 05 · Communicate

    Don't perfect the prompt. Frame the conversation.

    The session is the unit, not the message.

  6. 06 · Communicate

    Great examples beat great instructions.

    Show what good looks like. Show what bad looks like.

  7. 07 · Communicate

    Ask AI to ask you questions.

    Socratic beats one-shot. Every single time.

  8. 08 · Recursion

    Ask AI for help with AI.

    Use the machines on each other.

  9. 09 · Evaluate

    Iteration is everything.

    Three to five passes. Every time.

  10. 10 · Evaluate

    Don't take the quick win.

    Push back. Ask what it is holding back.

  11. 11 · Evaluate

    Never trust one machine.

    Same task, three models, compare.

  12. 12 · Evaluate

    Always humanise the output.

    Nothing ships raw. Layer your own twenty per cent.

  13. 13 · Edge

    Conviction. Art. Sense. Judgment.

    These come from you, not the machine.

  14. 14 · Long game

    Your sessions become your playbook.

    The conversations are the corpus. Guard them.

  15. 15 · Mental model

    Every AI task is one of three things.

    Know (information), Do (action), Show (artefact).

Format at a glance.

Length

60 minutesOne session

Audience

Grades 6 to 1225 or fewer students per session

After

90-day planPair partner, Skill library, Showcase Day

Who is behind it.

Shalin Shodhan has spent twenty years across games, film, and education. At Pixar he contributed to six animated features, including Toy Story 3 and Inside Out, three of which won Academy Awards. At Electronic Arts he helped build Spore, which won the BAFTA for Best Game. He went on to design learning software at Lumosity and Osmo, and now runs his own studio Masala Games, makers of Word Mess. He studied at Carnegie Mellon and is the author of the interactive AI curriculum, Talking to Machines.