01
Faculty set the rules
Faculty decide, activity by activity, whether AI takes part, how it helps, and what it must decline. AI assistance draws only on the material faculty assign.
Build AI-native lessons
Faculty design the lesson, not a prompt box
You decide what the AI knows, how hard it pushes, and what counts as done. The lesson is bounded, instrumented, and authored by faculty from the first block.
Product, lessons
One concept, one governed lesson.
A Mizain lesson is the atomic unit of learning progression: faculty-authored, bounded, and instrumented. Faculty build a governed environment for one concept in the Lesson Composer.
The anatomy of a lesson
Intro
Content
Activity
Checkpoint
Activity
Testimonial
Sign-off
Blocks in lilac are instrumented: what the student does inside them goes on the record.
Multiple activity types
- Challenge with AI: the student argues a position, the AI challenges the thesis
- Reading, with an AI challenge drawn from the assigned text
- Lecture video with pause and answer checkpoints inside the video
- AI-tool project challenge, with every exchange on the record
- Structured interaction challenge, composed by faculty
Lesson 04, Thermodynamics
Faculty-authored objective
Student must defend entropy's directionality against three AI-posed counterexamples before advancing, then explain the result in their own words.
Why it holds up
Three properties you can verify for yourself
02
On the record
Every exchange between a student and the AI is on the record, so no reader can mistake assisted work for unaided work.
03
Attested
A named faculty member reviews the Evidence Summary and attests it. Nothing consequential closes without their sign-off.
Designed for UAE data protection requirements; hosting, data location and retention agreed with your institution.
Challenge with AI
A sparring partner, not a co-writer
You set the motion, the sides, how the AI takes part, what it must decline, and the material it may draw on. The student takes the stage turn by turn, and the full exchange stays on the record with the lesson.
Every activity works the same way. You decide how much the AI helps, and the work stays with the student.
Pedagogical sovereignty
Pedagogical sovereignty over AI: lesson authoring with an evidence loop, under faculty control. The AI is a sparring partner for the student, and it answers to you.
Design your first AI-native lesson with us
Bring a course you already teach. We will walk through what a lesson looks like inside it.