Don't just watch the future. Build it.
The premier in-person AI summer camp. We move students from passive scrolling to active creation through code, ethics, and entrepreneurship.
Summer 2026
Two Paths for the Next Generation
By 2030, the workforce will be divided into two groups.
The Scroller
They use AI to write generic essays.
They rely on algorithms to tell them what to watch and buy.
They view technology as “magic” they cannot control.
Dependent on tools they don't understand.
The Architect
They understand how the models work.
They know how to chain agents together to solve complex problems.
They build the tools the Consumers use.
Future-proof confidence.
“AI will radically improve both student outcomes and teacher experiences, and help usher in a future where everyone has access to a world-class education… [because] we finally have a way to give every student the kind of personalized learning, support, and guidance that's historically been out of reach for most kids in most classrooms.”
— Sal Khan, educator and founder of Khan Academy
What Students Will Build & Learn
Real skills. Real portfolio. Real confidence.
Foundations + Fast Wins
Offered twice: June & July
AI Literacy
Understand what AI can and can't do
Prompt Mastery
Learn verification habits to avoid being fooled
Intro to Code
Python or JS basics in browser environments
Ship a Prototype
Build a simple AI app with guardrails
Ethical Habits
Privacy, bias, and academic integrity
Mini Demo Day
Present a working prototype on Friday
Agents + Capstone
Offered once: July only
Agent Architecture
Plan → Act → Reflect mental model
Tools & Retrieval
Connect AI to real data with citations
Testing & Reliability
Build trust through evaluation suites
Safety Guardrails
Refusal rules, logging, error states
Startup Pitch
Business model + demo choreography
Final Demo Day
Polished capstone with parent judges
A Day at Camp 4R
Every day follows the same rhythm: learn, build, reflect, ship.
Arrival + Warm-Up Challenge
Tiny win, low stress. Get the brain moving.
Lesson Block
Interactive, demo-first instruction. Concepts + context.
Break
Snacks, stretch, recharge.
Guided Lab
Pair programming + checkpoints. Hands-on building.
Catered Lunch
Refuel & Connect. No screens allowed. Real conversation.
Ethics & Reality Block
Bias, privacy, integrity, misinformation. Daily.
Build Studio
Teams build. Instructors run mini 1:1s.
Break + Office Hours
Optional sign-up slots for extra help.
Showcase / Stand-Ups
Teams present progress. Peer feedback.
Reflection + Ship List
What you built. What you learned. What's next.
Brain Food Included
- •Fresh sandwiches & wraps
- •Hot bowl options (Rice/Protein)
- •Fresh fruit & healthy snacks all day
- •Vegetarian, Gluten-Free, Nut-Free available
Daily Artifacts
- •Build Log — Google Doc journal
- •Lab Notebook — Web-based code notes
- •Working Prototype Link — Deployable URL
Hardware & Software Provided
- •Chromebooks provided (don't bring laptops)
- •ChatGPT 5.2, Claude Opus 4.5
- •Replit, Cursor
- •Google Docs, Notion
The Full Curriculum
Every day is intentionally designed. No filler. All building.
Foundations + Fast Wins: For beginners and curious minds. No coding experience needed. By Friday, every student ships a working prototype.
From Consumer to Creator
What AI is, how to use it responsibly, and how to build your first thing.
Lesson
- •What AI is (models, training vs. use)
- •LLMs vs "traditional ML"
- •The "AI Ladder": Prompt → Prototype → Product
- •Vibe coding rules: AI helps you draft; you verify and debug
Guided Lab
- •Setup + logins (camp tools)
- •"Hello, AI" lab: build a simple text-based assistant in a web sandbox
- •Prompt patterns: role, constraints, examples, refusal boundaries
Ethics Block
- •"AI can be confidently wrong" (hallucinations)
- •Verification habits: cite sources, cross-check, ask for uncertainty
Build Studio
- •Mini-project kickoff: pick one of 6 starter ideas
- •Teams form (3–4 students), write a 1-page Project Brief
Daily Ship List
- ✓Project Brief (problem, user, success criteria, ethical constraint)
- ✓First working prompt + test cases (5 scenarios)
Data + ML in the Real World
How "learning from data" works, and where bias comes from.
Lesson
- •Datasets, labels, features (simple mental model)
- •Classification vs. generation
- •Why bias happens (data selection, label decisions)
Guided Lab
- •No-install ML demo using a browser tool
- •Train a simple classifier (image/text) and test it
- •Introduce "evaluation": a model is only as good as its tests
Ethics Block
- •Bias & fairness: "Who gets harmed if it fails?"
- •"Should we build this?" decision checklist
Daily Ship List
- ✓Mini-model demo + notes on where it fails
- ✓Evaluation set v1 (10 cases) + pass/fail rubric
Vibe Coding That Actually Works
Building with AI assistance without losing control.
Lesson
- •Prompting for code: specs, acceptance criteria, edge cases
- •Debugging loop: reproduce → isolate → fix → retest
- •UI basics: input, output, error states, empty states
Guided Lab
- •Build a simple web UI for your project
- •Inputs, output area, "safe mode" toggles
- •Introduce "structured prompts" (system rules + user intent + examples)
Ethics Block
- •Academic integrity: "Explain vs. do"
- •Privacy basics: don't paste secrets, PII, or private school data
Daily Ship List
- ✓A clickable prototype (simple UI)
- ✓Guardrails + refusal rules + sample prompts
Entrepreneurship Day
Turn a prototype into a product story.
Lesson
- •Product basics: who is it for, what problem, why now
- •Differentiation: what makes yours better than "just ChatGPT?"
- •Responsible product: boundaries and harm prevention
Guided Lab
- •Build the pitch kit: 3 slides
- •1-slide problem → solution
- •1-slide "how we keep it safe"
Ethics Block
- •Misinformation: source checks and confidence labeling
- •"Safety UX" (how UI prevents misuse)
Daily Ship List
- ✓3-slide pitch deck
- ✓Demo script + roles assigned
Mini Demo Day
Ship, present, reflect.
Morning
- •Final build sprint + bug fixes
- •Run through evaluation set + document results
- •"Responsible release checklist" (privacy, bias notes, refusal)
Afternoon
- •Each team presents: 2 min pitch, 1 min demo, 1 min Q&A
- •Parents invited for final hour (optional)
- •Peer voting + instructor feedback
Daily Ship List
- ✓Demo-ready prototype
- ✓Pitch deck
- ✓Evaluation summary (what worked, what failed, what's next)
Earn Digital Badges. Leave with a Portfolio.
Every student leaves with tangible proof of what they built.
Digital Certificates
Earn badges based on your contributions and achievements during the week.
Builder
Shipped a working prototype
Ethics Lead
Outstanding safety awareness
Agent Architect
Built autonomous workflows
Pitch Captain
Best demo presentation
Portfolio Bundle
At the end of camp, every student receives:
Live Project Link
Deployed prototype URL they can share with anyone
Pitch Deck PDF
Polished slides ready for college apps
1-Page Reflection
What they learned, what they'd do differently
Certificate of Completion
Official Camp 4R credential
Mentored by Experts, Not Just Counselors
We bridge the gap between High School and University.

Industry Builders
Our curriculum leads are working software engineers and product designers who use these tools professionally. They teach “clean code” and real-world architecture.

University of Cincinnati CS Talent
We partner with top-tier Computer Science Teaching Assistants from UC. These are 3rd and 4th-year students who specialize in helping beginners understand logic.
Invest in their future.
Track 1: Scroller to Creator
June Cohort
June 15 – 19, 2026
- ✓Week 1 Curriculum (Foundations)
- ✓Daily Catered Lunch + Snacks
- ✓Chromebook + Software Access
- ✓Portfolio Bundle + Badges
- ✓Camp 4R Swag Pack
The Full Stack
Both Weeks Bundle
Both Weeks
- ✓Attend June AND July
- ✓Go from Zero to Agent Architect
- ✓Priority Demo Day slots
- ✓Extended portfolio bundle
- ✓All perks included
Track 1 Scroller to Creator or Track 2 Agent Wrangler
July Cohort
July 13 – 17, 2026
- ✓Week 1 or 2 Curriculum
- ✓Daily Catered Lunch + Snacks
- ✓Chromebook + Software Access
- ✓Portfolio Bundle + Badges
- ✓Camp 4R Swag Pack
Safety is our operating system.
We know parents worry about privacy and cheating. Here's how we handle it:
Walled Garden
Enterprise-grade environments where data is private. No student data leaves the sandbox.
Academic Integrity
We explicitly teach "explain vs. do" — using AI as a learning tool, not a homework machine.
Daily Ethics Block
30 minutes every day on bias, privacy, misinformation, and responsible use.
Code of Conduct
All students will be required to sign a code of conduct on day 1 that outlines appropriate use of the software.
Frequently Asked Questions
Yes. We provide a full catered lunch every day, plus morning and afternoon snacks. We accommodate allergies if noted during registration.
50 Seats Per Week.
Reserve your spot for Summer 2026.