A three-week intensive · Seoul · ~50 students, ages 15–18
The 2026 AI job market hires on delivery evidence — repos, deployed products, eval suites — not credentials. So every lesson hands the student a real artefact and a named, transferable skill. Three professional seasons: judge (Week 1), make (Week 2), build (Week 3).
0The aim format: I can use [a new quantifiable skill] to create [an artefact] which is used for [a purpose].
0The doubling: every lesson teaches one industry skill AND one AI tool/skill that hyperdrives it. The AI is the level-up, not the substitute.
0
3weeks
14days
32lessons
120stages
261scenes
Every lesson opens into its stages (sequences) and their child activities (scenes), each with a UI metaphor, a governing dynamic, and a named game-mechanic — plus a clickable panel of reviews and a ready-to-use generation prompt. Click any lesson to open it.
Features
▤Projects
A shared workspace with a persistent knowledge base + instructions. On Team plans, shareable across the org with can-use / can-edit permissions. Static background context loaded into chats.
"Our team's shared brain."
Best forShared source material; team continuity across days
◆Skills (SKILL.md)
A folder with a SKILL.md (YAML name + description, then instructions). Claude auto-invokes it when relevant. Portable, task-activated procedures usable everywhere. Owners can provision org-wide.
"I taught Claude a repeatable job once, and now it just does it."
Best forPackaging a workflow; the day's specialist
⬢Cowork
A desktop agent that runs on the student's machine, plans, runs code in an isolated VM, and writes real files to disk. On by default for Team. Projects in Cowork are local, not shared.
"I'm directing an AI engineer who actually builds things."
Best forThe real build work; the engineer/founder LARP
❰❱CLAUDE.md
A plain-markdown file of standing rules/conventions Claude reads and obeys for a build. Version-controlled context.
"I wrote the rules and the AI holds them all session."
Best forTeaching context-engineering; enforcing a standard
⌗Claude Code
The command-line agent for directing builds via Explore→Plan→Code→Commit.
"I ship software by directing, not typing."
Best forThe hands-on dev lessons; deploying the shell
Setup
A course Project (shared, "can use")
A course plugin / Skill bundle (provisioned org-wide)
⚠ Governance facts to plan around
Formats
The Toolkit
The Brief
The Hearing
The Bench
The Verdict
The Cut
The Review
The Reckoning
The Cauldron
Production Block
The Study Loop
Week 1
Building AI Fluency
What Is AI?
AI Literacy Verdict — Tribunal performance + a truly-paper test
Capstone ai-literacy-portfolio
Day 1Where Do You Fit?
What this machine is, and what each prompt costs you.
AimLearn to explain what generative AI is and how it predicts text, getting set up on Slack and Claude, to produce your first working hello-world exchanges.
Brief t1_stage_larp.a1_artefacts.briefWritten positioning: where the student places themselves on the automation spectrum, with evidence for at least two positions on the map.
Day 2The Source
Treat the machine as a source to interrogate, not an oracle.
AimLearn to craft effective interrogating questions and recognise AI limits and hallucinations, pressure-testing a source, to produce a sharp question set.
Format shapegenerate-interview-questions · concept
Brief t1_stage_larp.a1_artefacts.briefA sequenced, fact-check-proof set of 8-12 interview questions that would crack open one real source for one real story.
Brief t1_stage_larp.a1_artefacts.briefA one-page dossier that takes one circulating claim apart on the table — claim, source chain, red flags, and a verdict you would defend out loud.
AimLearn to choose a legal doctrine and argue a case within it, while fact-checking AI's claims rather than trusting them blindly, to produce a tribunal verdict you can defend on grounds of law, not sympathy.
Format shapeargue-a-position-in-frame · performance
Brief t1_stage_larp.a1_artefacts.briefA one-page verdict on a live AI controversy — claim, two evidenced reasons, the strongest counter you could find, and your rebuttal — tight enough to read aloud to a hostile room in three minutes.
Day 4How We Know
You only know what you can write down without the tool.
Brief t1_stage_larp.a1_artefacts.briefA one-page doc of three battle-tested prompts that turn any AI chatbot into a flashcard deck, a Socratic quizzer, and a devil's-advocate for one topic you have to revise.
AimLearn to identify the dramatic engine of a story, ideating with AI, to produce an approved trailer concept with a named character, forced change, and real stakes.
AimLearn to select the optimal AI model on cost versus capability, benchmarking prompts across models, to produce a model budget plan for your trailer.
Format shapeoperate-models-in-claude-code · decision
Brief t1_stage_larp.a1_artefacts.briefA one-page reference sheet — palette, lighting, lens, texture, signature move, plus one hero frame — that locks the look of your 60-90 second trailer so every later shot matches it.
Brief t1_stage_larp.a1_artefacts.briefA one-page reference sheet — locked world spec, locked character spec, and 4 matching reference frames — that every later shot in your trailer is generated against.
Brief t1_stage_larp.a1_artefacts.briefA 4-6 row shotlist and the matching AI keyframes that, laid side by side, tell your trailer's whole story in stills.
Brief t1_stage_larp.a1_artefacts.briefFour to six animated 4-8 second shots, each with its source still and the prompt that made it move, ready to cut into your trailer.
Day 4The Cut
Cut, voice and score it into something that lands.
Brief t1_stage_larp.a1_artefacts.briefA timed, directed voiceover laid over your trailer cut — every line landing on its shot, in a voice that sells the film in 60 to 90 seconds.
Brief t1_stage_larp.a1_artefacts.briefA timecoded audio plan - one music spine and its key SFX accents - mapped beat-by-beat to your locked trailer so an editor could drop it under picture tomorrow.
AimLearners examine AI's real impact on media and creative professionals through a structured panel, drawing on their own trailer production, to produce authentic peer critique and a position they can defend.
AimLearn to design and operate an AI coding assistant, driving real-time interactions through specification and iteration, to produce a working dev environment.
Brief t1_stage_larp.a1_artefacts.briefA screenshot-backed setup log proving your editor, terminal, runtime, and AI assistant all work together on one running program.
Brief t1_stage_larp.a1_artefacts.briefOne small feature that actually runs in the browser, built by steering an AI codegen tool, with the working prompt and the fix log kept beside it.
Day 2The Brain
Give the build a character and something true to say.
Brief t1_stage_larp.a1_artefacts.briefA one-page contract that fixes an AI agent's job, voice, boundaries, and refusal behaviour so tightly that its character survives contact with strangers.
Brief t1_stage_larp.a1_artefacts.briefA tight 8-12 entry knowledge base — the exact facts, FAQs, and refusal boundaries your agent quotes from so it stops making things up.
Brief t1_stage_larp.a1_artefacts.briefA working agent that, handed a task it would otherwise botch, reaches for the right tool with valid arguments and finishes the job.
Brief t1_stage_larp.a1_artefacts.briefA documented loop that takes one messy real-world goal, drives an AI agent through act-observe-decide turns until a stated stop condition fires, and returns a finished result you would actually use.
Brief t1_stage_larp.a1_artefacts.briefA one-page operating policy that tells an AI agent exactly when to help, when to redirect, and when to refuse — with one worked edge case where you defend the call.
Brief t1_stage_larp.a1_artefacts.briefA patched system prompt plus a test log of ten attacks you threw at it, each with the input, the response, and a before-and-after verdict.
Brief t1_stage_larp.a1_artefacts.briefA public HTTPS URL where anyone can chat with your agent, the API key hidden server-side, ready to paste into the group chat.
AimLearn to translate hands-on AI experience into a clear-eyed view of your own future work, reflecting after shipping a real product, to produce an articulated personal stance on a changed professional horizon.