For educators
Your curriculum.
An AI that
teaches it.
Upload your materials, define your curriculum, and hand it to Seminr. The AI builds a personalised learning environment for every student in your cohort. You keep full oversight. Students get a tutor that actually knows what you've taught them.
Curriculum · Resources · Seminars · Exercises · Cohorts · Analytics
The problem with generic AI
Students are using AI anyway. Most of it doesn't know what you taught them.
General-purpose AI tools have broad knowledge. But they don't know your syllabus, your terminology, your specific case studies, or your exam requirements. Upload your materials and Seminr builds on what you've actually taught — not a generic version of the subject.
Broad knowledge, no context.
A general AI knows a lot about a subject in the abstract. It doesn't know your course structure, your assessment criteria, or the specific angle you've taken on a topic. Students get answers — just not answers calibrated to what they need to know for your class.
Structured, but still general.
Even without your materials, Seminr generates better structured learning than most AI tools. Curricula, daily sessions, assessments, adaptation. But it's working from research, not from your specific teaching.
The AI learns from what you've taught.
Upload your notes, textbooks, past papers, and lesson plans. Now every lesson generated, every exercise written, every chat response draws on your actual material. Your terminology. Your examples. Your syllabus.
Upload your materials. The AI teaches from them.
Add your lecture notes, textbooks, past papers, mark schemes, and worksheets. Seminr indexes everything and uses it as the knowledge base for every lesson, exercise, and chat response your students get. Not generic subject knowledge. What you've actually taught.
PDF, document, and text upload
Semantic search across all your materials
AI references your content in every lesson it writes
Exercises built from your terminology and examples
Student chat grounded in your uploaded knowledge base
What you can do
Build once. The AI delivers it to every student.
You set up the workspace, define the curriculum, and upload your materials. From there, Seminr handles the teaching loop for each student individually. Each gets personalised daily sessions, adaptive exercises, and spaced repetition reviews — all drawn from your content.
Define the learning path.
Set up a workspace with a defined curriculum. Topics, subtopics, hours per module, delivery format. The AI uses your structure as the foundation for everything it generates.
Topic hierarchy and module structure
Estimated hours per topic
Preferred delivery format per module
Starting level and prerequisite mapping
Lessons written from your content.
Seminr generates multi-block lessons for each topic. Because your materials are in the knowledge base, those lessons are grounded in what you've actually taught — not a generic overview.
Rich text, interactive tools, and exercises
Grounded in your uploaded resources
One lesson per topic, pre-generated
Reteach versions generated when students struggle
Assessment that knows your syllabus.
Exercises are generated fresh for each student based on their mastery and weak concepts. They reference your terminology and your examples. Nine exercise types available.
9 exercise types
Generated from each student's weak areas
Calibrated to mastery level
Scores tracked per topic per student
Group your students.
Create a cohort and link it to a workspace curriculum. Share with your whole group at once. See who's in the group and monitor progress across all of them from one place.
Named cohorts with membership management
Link a cohort to a shared curriculum
Aggregate progress view across students
Share workspace with all cohort members at once
See how each student is doing.
Per-student mastery data, session completion rates, exercise scores, and average performance across your cohort. See where students are spending time and where they're struggling.
Per-student mastery scores by topic
Session completion tracking
Exercise performance and average scores
Cohort-level aggregate view
A tutor students can talk to.
Every student gets access to an AI tutor in text or live voice, with full workspace context injected. The AI knows their topic, their mastery level, and where they are in the curriculum.
Gemini Live and OpenAI Realtime voice
Full workspace context always injected
Chat available throughout every session
Screen share and camera for problem walkthroughs
Students don't advance until they've proved they've got it.
80% across at least two attempts marks a topic as mastered. The system doesn't let students drift forward on topics they haven't really understood. Every session ends with an exercise. That's not optional. It's how the AI knows they're ready.
Score below 70% and the approach changes before the next session. Different format, different angle, different explanation. The system treats a low score as signal, not failure.
Mastery threshold: 80% across at least two attempts
Weighted rolling average — recent attempts count more
Weak concepts carried forward into the next exercise set
Adaptation automatically triggered when a student is stuck
Spaced repetition reviews scheduled from each mastered topic
Each student gets their own version of your curriculum.
The AI doesn't deliver your curriculum the same way to every student. It tracks each one individually, builds their mastery profile, and adjusts what it delivers based on where they are. One student's session on Wednesday looks completely different from another's — even if they're covering the same topic.
You don't manage that differentiation. The AI does it automatically, within the bounds of your curriculum. You get the outcomes. Each student gets a genuinely personalised experience.
Daily sessions assembled per student based on their current position
Mastery score tracked per topic, updated after every exercise
Spaced repetition reviews triggered when mastered topics are due
Weak concepts identified and carried into future exercises
Adaptation triggered when a student scores below 70%
Reteach lessons generated from a different angle when topics don't land
Your whole class. One place. Everyone at their own pace.
Create a cohort and link it to your workspace curriculum. Share it with your students and each one gets their own version — same structure and materials, personalised delivery. You see the whole picture without chasing anyone for updates.
Group students and link them to a shared curriculum workspace
Each student gets their own environment, personalised to their progress
Completion rates, average mastery, and topic performance across the group
Mastery map, session history, and exercise scores for each individual
How to set it up
01
Create a workspace
Set up a workspace for your subject. Topic, learning goal, student level, session length, available days. This becomes the foundation the AI tutor works from.
02
Upload your materials
Add your lecture notes, textbooks, past papers, and lesson plans. Seminr indexes them and makes them available to the AI for every lesson, exercise, and student question that follows.
03
Share with your cohort
Create a cohort, add your students, and link the workspace to the group. Each student gets their own version — personalised to their progress, built on your curriculum.
04
Monitor from one place
Check in on student progress from the cohort analytics view. See who's mastered what, who's struggling with which topics, and how completion rates compare across the group.
You can see exactly what the AI is doing with your students.
Every action the AI takes is logged. Research runs, lessons generated, sessions assembled, adaptations triggered. You can look at any student's workspace and see the full activity timeline: what happened, when, and why.
You're not handing your curriculum to a black box. You can see which topics each student has mastered, which ones they're struggling with, and what the AI has done in response. And if a student needs a human, you're still there.
Every AI action timestamped and recorded — sessions, adaptations, mastery updates
Visual breakdown of every topic with score and attempt count
Aggregate view of session completion, average mastery, and hardest topics
Every exercise logged with score, wrong answers, and AI analysis of what to do next
Who it works for
A tutor for every student, not just the ones who ask.
In a class of thirty, you can't give everyone individual attention. Seminr can. Upload your lesson materials and it delivers personalised daily practice to each student, adapting as they go. You teach in the room. The AI handles revision and assessment outside it.
Your content, with an AI that teaches it.
You've built the curriculum. Seminr puts an AI tutor around it. Students get a structured learning environment, daily sessions, exercises calibrated to your content, and an AI they can talk to when they're stuck. All drawn from what you've built.
Scale without adding headcount.
A tutoring business is limited by how many hours your tutors have. Seminr lets you put a curriculum into an AI environment and serve more students than your team can cover directly. Your tutors focus on the students who need them most.
Your curriculum.
An AI that
teaches it.
Upload your materials, set up your cohort, and let Seminr handle the daily teaching loop. Free to start.