Learn for yourself. Show what you know.
One platform, two missions. Build the skills to learn anything on your own — and when school assigns work, make it count. AI Learning builds the skill of learning itself; AI Assessments turn assignments into conversations that prove understanding.
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1 min walkthrough · The student conversation is the proof.
Two missions, one platform
One side is for you. One side is for school. Both build the same thing: real understanding you can show.
Pillar 1 · AI Learning
Learn for yourself
School teaches subjects. Learning Lab teaches the skill underneath all subjects: how to acquire any new capability on your own. That's what separates people who adapt from people who get stuck.
20 learning skills (goal setting, task breakdown, attention management, critical thinking, learning from mistakes) across 4 grade bands — not algebra, not chemistry, not reading. Plus real-world challenges that exercise the process of learning: tying knots, cooking, building a web page, delivering a speech. The skill isn't the task — the skill is learning how to learn the task.
Explore AI Learning →Pillar 2 · AI Assessments
Show what you know
AI broke school assignments. Students copy effortlessly, detection tools don't work, and everyone knows it. We don't try to detect cheating — we make it irrelevant. Students talk through their work in an AI-guided conversation, and that single change fixes cheating, increases engagement, and builds real skills at the same time.
After submitting work, students have a real conversation about what they learned — their thinking, their choices, their understanding. You can copy a paper. You can't fake that conversation. The assignment finally does what it was always supposed to do: teach something.
See how assessment works ↓Three ways to assess
Same engine. Different fit for different assignments. You pick which one — or mix them.
01 · Content Assessment
Skip the Essay
Replace a paper or quiz with an AI interview. Teacher writes the questions, AI runs the conversation, student talks through what they know. Optional video proctoring keeps the answer honest.
02 · Submission Verification
Verify Authorship
Student submits a paper as usual. AI interviews them about it afterward. The interview is the proof they understand — and wrote — what they turned in. AI-assisted writing is fine; not understanding it isn't.
03 · Mixed
Paper & Interview
Both at once: paper plus interview. Authorship and comprehension covered in one assessment. Best fit for capstone-style work where the depth of the writing and the depth of the understanding both matter.
How it works
Three simple steps to transition from blank page to grading rubric.
Teacher sets up the assessment
Pick the mode (Content Assessment, Submission Verification, or Mixed). Author the questions and a rubric. Optional video proctoring for live interviews. 10 minutes from blank page to ready.
Student takes the interview
Adaptive AI conversation built on the rubric. Voice or text. The student explains what they know, walks through their reasoning, and demonstrates understanding live.
Teacher reviews and discusses
A transcript, an AI grade, and a per-question report — ready in minutes. Override anything, add a teacher note, then publish to the student. The transcript is something to actually talk about in office hours.
About the cheating problem.
Different mode, different answer. In Content Assessment, optional video proctoring catches reading-off-camera, coaching, or lip-sync mismatch during the live answer. In Submission Verification, the interview itself is the check — students have to actually know what's in the paper they turned in. AI-assisted writing isn't disqualifying. Not understanding what was written is.
We never auto-fail anyone. The AI flags signals; the teacher decides. Students can review every flag and respond — including watching the recorded video together with their teacher and explaining what was actually going on.
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