The graph compounds
Every course improves the shared map
Research, concept relationships, and teaching outcomes are retained. Related future courses can reuse what the system has already learned instead of starting from zero.
Public beta · AI-native mastery system
Any topic. A real course.Mastery you can prove.
Type what you want to learn. Loop researches it, maps the concepts, builds the course around you, enforces mastery, and issues evidence anyone can verify.
5
chapters in every blueprint
4
mastery dimensions
3
remediation cycles maximum
Public
credential verification
The missing product
Tutors answer questions. Generators make content. Loop builds and verifies the whole journey.
Conversational tutor
Helpful when you know what to ask
It can explain a question, but it does not own the curriculum, prerequisite map, progression policy, or credential evidence.
Course generator
A fast draft, usually without a control loop
It can outline lessons, but often has no persistent graph, learner diagnosis, bounded remediation, or evidence-backed gate.
StudAI Loop
One governed path from topic to proof
Research, graph, diagnosis, curriculum, teaching, assessment, remediation, and verification run as one auditable state machine.
How it works
From a topic to a credential, without losing the learning science in the middle.
- 01
Submit a topic
Request any safe topic and define the outcome, timeline, and daily commitment.
- 02
Research when needed
For unfamiliar topics, Loop researches current web sources and retains source provenance.
- 03
Build the graph
Concepts, prerequisites, and misconceptions become a reusable knowledge graph.
- 04
Diagnose the learner
A short adaptive diagnostic estimates prior knowledge, confidence, and learning preferences.
- 05
Blueprint five chapters
The graph becomes an exact five-chapter path, with gaps and likely friction made visible.
- 06
Generate the lessons
Loop assembles explanations, examples, practice, code, and misconception guidance for the learner.
- 07
Pass mastery gates
Progress requires evidence across recall, transfer, error recognition, and explanation.
- 08
Earn verified proof
Completion produces a signed, machine-readable credential with a public evidence page.
Mastery, not attendance
A pass means every dimension clears its threshold.
A single percentage can hide important gaps. Loop keeps recall, transfer, error recognition, and explanation separate, then explains which evidence unlocked—or blocked—the next chapter.
- All four dimensions are required; strong recall cannot mask weak transfer.
- Statistical evidence and anti-gaming checks reduce lucky-pass outcomes.
- Failed dimensions determine the next remediation strategy.
Illustrative mastery gate
Chapter evidence
Recall
Threshold 70%
86%
Transfer
Threshold 60%
74%
Error Recognition
Threshold 50%
67%
Explanation
Threshold 50%
58%
The durable advantage
The course ends. The graph, evidence, and learning signal do not.
Failure changes the teaching
Remediation is targeted, not repetitive
A failed gate identifies the weak concept and dimension, then switches pedagogy. After three cycles, the learner enters an assist lane instead of looping forever.
Proof over completion
The credential carries evidence
A public verification page exposes the mastery breakdown, evidence digest, lifecycle status, and signature integrity without requiring an employer login.
Public verification · no login required
A verification document, not a decorative badge.
Verifiers can inspect credential status, the four mastery dimensions, chapter evidence, time investment, evidence hashes, and signature integrity—plus a clear statement of what the credential does not claim.
Start without a commitment
Begin free. Upgrade for more capacity and Orin intelligence.
Current limits and entitlements are listed in one place on the pricing page.
Questions, answered
The important details
Learn it deeply enough to prove it.
Give Loop a topic. It will build the path; the mastery gates will keep the proof honest.
Generate your first course