The Curriculum
Orbrya is organized into three progressive modules built to develop one thing: the habit of thinking critically about AI output before accepting it. The curriculum is being actively developed during our pilot year. This page reflects where we are headed.
How it works
The curriculum runs across 12 weeks and is organized into three sequential modules. Students are expected to work through the modules in order, since each one builds directly on the thinking skills established in the one before it. Beyond that, the pace is entirely up to the family.
There are no grades and no tests. This is a deliberate choice. Orbrya is not designed to produce a score; it is designed to produce a habit. Assessment through testing measures whether a student can recall information under pressure. What we are after is something different: the moment where a student encounters an AI output and automatically reaches for the question "how do I know whether this is right?" Getting there is a behavioral shift, not a knowledge transfer, and the curriculum is built accordingly.
Progress is tracked through completion of lesson activities and reflection prompts that help students notice their own thinking in real time. The activities are short and practical, built to fit into a normal afternoon rather than require a dedicated block of school time.
Self-paced
No deadlines. Families move through lessons at whatever rhythm works for them.
Habit-based
Success is a changed behavior, not a grade. Lessons are built to form durable habits.
Home-ready
No classroom infrastructure required. Works on evenings, weekends, or any schedule.
The modules
Every module returns to the same core question: how does a student stay in command of their own thinking when AI is involved? The modules approach that question from three different angles.
Module 1 · Weeks 1–4
Students cannot evaluate something they do not understand, so the first module builds genuine foundational knowledge of what AI actually is and how it works. This is not a technical deep-dive. It is an accessible, practical explanation of why AI produces the outputs it does, and why those outputs can be confidently wrong.
By the end of Module 1, students understand that AI language models do not retrieve facts the way a search engine does. They generate responses based on patterns, which means their outputs can sound authoritative without being accurate. Understanding this distinction is the foundation that makes every verification skill in Module 2 meaningful rather than mechanical.
Module 2 · Weeks 5–8
Module 2 is where the practical work happens. Students learn a set of concrete, repeatable techniques for evaluating any AI output: how to cross-reference a claim against a primary source, how to identify when AI is summarizing versus when it is reasoning, how to recognize the patterns that suggest a fabricated citation, and how to spot the places in an AI response where the logic quietly breaks down.
These techniques are taught through real examples drawn from the kinds of tasks students actually use AI for: homework questions, research, writing assistance, factual lookups. The goal is not abstract media literacy. It is a personal verification process students can apply the next time they open an AI tool.
Module 3 · Weeks 9–12
The third module shifts from evaluating AI output to directing it. Students learn to use AI as a thinking partner: something that can help them explore ideas, stress-test arguments, and draft working material, while they remain the person responsible for the quality and accuracy of the final product.
This module also addresses how students talk about AI-assisted work: with teachers, in college applications, and eventually with employers. Knowing how to articulate what you contributed versus what AI produced is a skill that will matter more, not less, as AI becomes more embedded in professional environments.
After the 12 weeks
A 12-week curriculum teaches the foundational skills. What it cannot do is keep up with an AI landscape that changes month to month. New tools, new failure modes, new ways that AI is being used in schools and workplaces: the specific context students need to navigate evolves faster than any static curriculum can.
Subscribers receive ongoing access to new standalone lessons as they are released, along with regular AI Events content: short, focused analyses of what is happening in the AI space right now and how students can apply their verification and critical thinking skills to evaluate it. When Orbrya expands the core curriculum with new modules, existing subscribers receive access automatically.
A note on the pilot year
The three modules above represent the curriculum as it is being designed. Founding families who join at launch will work through lessons as they are developed and released, and their feedback will directly influence how each module is structured and what it emphasizes.
If you are looking for a finished, packaged product, Orbrya is not that yet. If you want to be part of building something that does not currently exist and lock in the lowest price we will ever offer while you do it, joining the waitlist is the right move.
Launching August 1, 2026
$5.99/month or $59/year, locked in permanently for as long as you stay subscribed. You will receive our newsletter with blog posts, videos, and updates as we build toward the August 1 launch.
You'll receive our newsletter with blog posts, videos, and updates as we build toward August 1. Waitlist subscribers receive founding-family pricing at launch.