Colearnwith The Lossless Group

AI Makers: AI Camp Syllabus for Ages 15+

AI Makers: Ages 15+

The pitch for campers: You've used AI to get answers. Now build AI that gets things done: an agent that runs part of your life, a real project that shows what you're capable of, and a personal rulebook for using AI without losing your edge. No coding required. If you want code, see AI Architects.

Part of AI Camp. Shared principles, the Agent Card, the Four Lenses rubric and the tools-by-age table live there.

Why this age band is built differently

  • Hands-on with consent. Campers 15–17 may use ChatGPT with parental consent, [1] and parents can link accounts for teen protections. [2] Claude.ai stays off-limits until 18. [3] The camp provisions supervised accounts or collects consent before Day 1.

  • The habits are already forming. Pew found that teens aged 15–17 are more likely than 13- to 15-year-olds to use ChatGPT, and about three in ten teens use chatbots daily. [4] The goal is to turn passive use into deliberate building, and to protect the learning that makes them good at things.

  • Coach, not crutch, made explicit. Campers read the summary of two studies and argue about why they disagree. One found that unrestricted GPT-4 hurt high-school math learning once it was removed. [5] The other found that a well-designed AI tutor doubled learning gains for Harvard physics students. [6] The answer, design, becomes the camp's rule for every agent they build.

  • UNESCO level: Apply into Create. [7]

Ratio: at most 1 adult to 12 campers. Devices: laptop with a modern browser. Platform choice: any general chatbot that supports custom instructions or custom assistants, plus a no-code automation tool, chosen by Colearn for its data terms.


Course 1: Main Character Energy

Maps to the original AI Mastery for Living Life: Personal, Social, and Work/School agents.

Big question: If you could hand an agent one part of your life, which part, and what would you never hand over?

Campers will be able to:

  • Explain the difference between a workflow (steps fixed in advance) and an agent (the model chooses its next step), and when the simpler one is better. [8]

  • Build three working custom assistants or automations, one per life area, each with written instructions, a knowledge file, and a Check-in.

  • Evaluate each one with a test set of 10 realistic requests, including at least 3 meant to break it.

  • Write a one-page "AI operating manual" for themselves.

DayThemeWhat happens
1Your life, as a systemMap a typical week: where time goes, what drains you, what you'd love more of. Pick one goal per area: Personal (food, fitness, books and ideas, or heart and soul), Social (family, friends, community), Work/School (your STEM, MAD or ELC interest). Write three Agent Cards on paper before touching a tool. Paper first is deliberate: an early MIT Media Lab study found less brain engagement when ChatGPT did the drafting.
2Personal agentBuild a custom assistant with instructions, a knowledge file (your goals and constraints), and guardrails. A fitness coach must anchor to the 60-minutes-a-day guideline for ages 6–17 and refer anything medical to a real professional. Run the 10-request test. Fix what failed.
3Work/School agentBuild a study or project coach that follows the coach, not crutch rule: Socratic questions, worked examples on different problems, and quizzing. Campers test it on their own real homework and log whether it ever just gave the answer.
4Social agent + automationBuild a no-code automation (calendar, reminders, shared lists) for a social goal: a birthday tracker, a weekly family-dinner planner, a club meeting organiser. Its Check-in requires a human to approve every message sent to another person.
5Demo DayEach camper demos one agent live, shows its test results (pass/fail table), and reads their AI operating manual aloud.

Sources for Table: [9] [10]

Capstone: three working agents, a test log for each, and a personal AI operating manual.


Course 2: Spike Season

Maps to the original AI Mastery for the Work/School World (Tech/STEM, Arts/MAD, Biz/ELC).

Big question: What could you ship in five days that a college, an employer or a community would actually care about?

Campers will be able to:

  • Pick a spike and scope a five-day project with a real audience.

  • Use AI as research assistant, prototyper and critic while keeping authorship. The US Copyright Office's January 2025 report holds that prompts alone don't make you the author; human creative choices do. [11]

  • Cite AI-assisted research properly, and verify every claim AI gives them against a primary source.

  • Publish the project somewhere real.

DayThemeWhat happens
1Pick your spikeThree tracks, ten example projects each. Tech (STEM): a no-code app, a data analysis of a local issue, a robot behaviour plan. Arts (MAD): a short film, an album side, an illustrated zine, a game prototype. Biz (ELC): a club launch, a micro-venture, or a cause campaign tied to one of the UN's 17 Sustainable Development Goals. Campers write a one-paragraph project brief and get instructor sign-off.
2Research sprintAI-assisted research with a hard rule: every claim used must be traced to a source the camper has opened and read. Campers practise footnote citations with stable identifiers, the same discipline this syllabus uses.
3Build sprintMake the thing. Instructors circulate as editors. Campers keep a contribution log: what I made, what AI drafted, what I changed and why.
4Critique + reviseEach camper prompts an AI to act as a tough reviewer for their field, and then a human peer does the same. Compare: which critique was more useful? Revise.
5LaunchPublish (a portfolio page, a video upload, a club sign-up going live) and present a three-minute pitch with the contribution log on screen.

Sources for Table: [12]

Capstone: a published project, its contribution log, and a cited one-page brief.


Course 3: Signal Over Noise

Maps to the original AI Mastery for Personal & Social Life.

Big question: How do you use AI for your inner life and your relationships, and where is the line?

Why it matters: Common Sense Media recommends that no one under 18 use AI companions. [13] Its testing found that Claude, while it has safety strengths, is not safe or reliable for teens' mental health or emotional support. [14] Meanwhile, the Surgeon General has named loneliness a public-health crisis. [15] Campers investigate the problem as researchers, then build what should exist.

Campers will be able to:

  • Analyse how engagement-driven design works in AI products and social feeds.

  • Build a "signal" agent that filters information toward what they care about and away from doom-scrolling.

  • Write and defend a personal policy on AI for emotional topics: what it's okay for, and who to go to instead.

DayThemeWhat happens
1The attention economy, AI editionRead and discuss the key findings of the Common Sense teen AI-companion survey. Map how an app makes money from your time. Where does an AI companion fit on that map?
2Build a signal agentA custom assistant that turns a firehose (news, a feed, a group chat summary you paste in) into a short digest aligned with the camper's stated values and interests. It must cite its sources and flag what it left out.
3Relationships labDesign a "people-first" social agent: a gift and occasion planner, a "reach out to someone you haven't seen" nudge, a group-trip organiser. Evidence anchor: the Harvard Study of Adult Development found that relationship satisfaction at 50 predicted health at 80.
4Where AI stopsStructured debate: "Should a teen ever use AI for emotional support?" Teams argue using the Common Sense assessments and Anthropic's own published safeguards, which require Claude.ai users to be 18+ and steer people in distress toward human help. Each camper writes their personal policy, including the names of two real people they'd go to.
5Showcase + Family PlanDemo the signal agent and the social agent. Present the personal policy. Take home an AAP Family Media Plan template with a new AI section.

Sources for Table: [16] [17] [3] [18]

Capstone: two working agents plus a written, defended personal AI policy.


Course 4: Memory Palace

Set up your harness, build your second brain. New for ages 12 and up, and it sits underneath all three original courses: it's what turns a generic chatbot into an agent that knows your projects, your goals and your rules, without knowing anything it shouldn't.

Big question: How do you give an agent exactly the right context, no more and no less, while keeping the knowledge yours?

Why it matters (the version for parents): The people who get the most out of AI right now aren't the best prompt-writers. They're the ones who set up the system around the model. Andrej Karpathy, a founding member of OpenAI, calls the core skill "the delicate art and science of filling the context window with just the right information for the next step." [19] It matters because a model's attention is finite: Anthropic describes an "attention budget" that every added token draws down, [20] and Chroma's tests of 18 models found reliability slipping as inputs grow longer. [21] Anthropic's own engineers compare an agent to a project "staffed by engineers working in shifts, where each new engineer arrives with no memory of what happened on the previous shift." [22] The harness (instructions, memory files, skills, tools and compaction) is how one shift hands over to the next.

The second brain is the other half. It's a personal library of notes, written and owned by you, organised with Tiago Forte's CODE method (Capture, Organize, Distill, Express) and PARA folders. [23] It's kept as plain files that outlive any app. [24] A well-kept second brain makes you sharper, and it's also the best context an agent can be given.

Tools at this age:

  • Hermes Agent (open source, MIT-licensed, works with any model provider). [25] Each camper gets their own Colearn-provisioned sandbox, uses the command line only, keeps command approval on and messaging connections off, and runs on Colearn's model keys with spending caps.

  • Second brain: Logseq (open source, local Markdown) [26] or any Markdown editor. Obsidian's terms limit use to adults, [27] so it's for campers who are 18, or instructor demos. Every vault is plain Markdown and moves freely between tools.

Campers will be able to:

  • Set up and tune an agent harness: persona, workspace instructions, memory, and one custom skill.

  • Build a second brain with CODE and PARA, including a distilled synthesis they wrote themselves.

  • Audit their own context: count what the harness loads every session, and cut what doesn't earn its place.

  • Carry work across sessions with compaction (/compress) and structured notes, and test what survives.

  • Write a skill using progressive disclosure: the agent always sees a short name and description, and loads the full instructions only when they're needed. [28]

DayThemeWhat happens
1Anatomy of a harnessOpen the hood on a pre-installed Hermes. Find everything it loads before you type a word: SOUL.md (persona), AGENTS.md (workspace rules), MEMORY.md (the agent's own notes, capped at 2,200 characters), USER.md (its profile of you, capped at 1,375), and its skill list. Count the tokens in each. Discover that your agent's long-term memory is shorter than this paragraph, then compare it with a chatbot's "custom instructions" box.
2Second brain sprintCODE in one day. Capture 30 sources on your Spike Season topic. Organize them into PARA. Distill by hand, bolding the key passages and then highlighting the best of the bold. Express a one-page synthesis in your own words. No AI drafting today: the second brain only works if the thinking in it is yours.
3Tune the harnessWrite SOUL.md and AGENTS.md from your Course 1 Agent Cards, and give Hermes read-only access to your vault. Re-run your 10-request test set from Course 1, before and after, and log what changed. Memory hygiene: after each session, read MEMORY.md and USER.md. What did the agent decide to remember about you? Delete anything you wouldn't want stored.
4Context rot labA real experiment. Ask a question whose answer sits in one note. Feed the agent 3 notes, then 30, then the whole vault, and move the answer note to the start, middle and end. Chart the accuracy. Campers are reproducing, in miniature, published findings on context rot and on models losing information "in the middle." Then run /compress on a long session and test what survived.
5Ship a skill + Demo DayWrite one skill (a SKILL.md with a name, a description and instructions) that turns vault notes into a study guide or a weekly project update. Demo the token budget sheet, the before-and-after test results, the lab chart and the skill in action.

Sources for Table: [29] [21] [30]

Capstone: an exported, tuned Hermes setup; a vault of 30+ notes with one distilled synthesis; a context-rot lab chart; and one working skill.


Assessment for this band

Apply the shared Four Lenses rubric from Program Design. Evidence expected at this age:

  • Build: the agent works for someone other than its maker.

  • Judgment: a 10-request test log with failures fixed or documented.

  • Purpose: a project brief that names a real audience.

  • Humanity: a contribution log and a personal policy that name real people.

  • Judgment (Course 4): a context budget the camper can defend line by line, and memory files with nothing in them that shouldn't be there.

Instructor prep

  • Confirm consent forms and account provisioning a week before camp. [1]

  • Pre-build one example agent per course, including deliberate flaws for campers to find.

  • Prepare the two-study reading pack (Bastani et al., Kestin et al.) as one-page summaries. [5] [6]

  • For Course 4: provision one Hermes Agent sandbox per camper, with command approval on, messaging connections off, and a capped model key. [25] Wipe or export each camper's memory, skills and vault at the end of camp, and tell families which.

Sources

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    The 17 Goalssdgs.un.org
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    Claude Risk Assessmentinstitute.commonsensemedia.org
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    File over appstephango.com
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    Terms of Serviceobsidian.md
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    Persistent Memoryhermes-agent.nousresearch.com
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