Product
Topic in. Verified skill out.
StudAI Loop turns any topic into a personalized five-chapter course that adapts to how you learn, verifies mastery on four dimensions, and issues a credential anyone can verify.
The loop, end to end
Seven honest steps. Every state below is a real, persisted server state — not a marketing abstraction.
1 — Name your topic
You describe what you want to learn, your goal, your timeline, and your daily time. Unsafe or out-of-policy topics are rejected with an explanation before anything is created.
2 — Loop researches it
For unfamiliar topics, Loop runs live research as a durable background job with real phase states — queued, validating, researching, building graph — that survive a page refresh. You can retry or cancel; a spinner never pretends to be progress.
3 — The knowledge graph grows
Concepts, prerequisites, and common misconceptions become a reusable graph. Your course is built on structure, not a wall of generated text.
4 — A diagnostic meets you where you are
Five to seven adaptive questions with confidence capture estimate what you already know, so the plan does not waste your time re-teaching it.
5 — You approve a five-chapter contract
Every course is exactly five chapters with objectives, estimated hours, and predicted friction. If the plan is wrong you can request bounded revisions — Loop returns concrete alternatives and you pick one.
6 — Learning is gated by evidence
Each chapter ends in a mastery gate measuring recall, transfer, error recognition, and explanation. Failing routes you to targeted remediation with a different teaching approach — up to three cycles, then a human-supported assist lane. Never a silent pass.
7 — You walk away with proof
A final exam and a malware-scanned capstone complete your evidence. Loop issues a dual-signed credential anyone can verify in one click — no account, no trust in us required.
What makes this different
Most AI learning tools generate content. StudAI Loop governs a journey: a deterministic state machine decides what happens next, and nothing advances without evidence.
- No catalog ceiling. Courses are generated from research and a knowledge graph, not picked from a library.
- No hollow passes. Four mastery dimensions with published thresholds gate every chapter.
- Honest AI. Generated content is guardrailed, schema-validated, and cited; degraded output is labeled and can never earn mastery evidence.
- Proof at the end. Credentials are signed and publicly verifiable — with the evidence attached.
Frequently asked questions
- How long does research take?
- It depends on the topic. Research runs as a durable background job — you can leave, come back, refresh, or cancel, and the state is preserved on the server.
- What if I fail a mastery gate?
- Failure is a designed-for state. Loop diagnoses which of the four dimensions failed, re-teaches those concepts with a different pedagogy, and re-tests. After three unsuccessful cycles you enter a human-supported assist lane — your record never claims mastery you did not demonstrate.
- Can I change the plan?
- Yes, within bounds. You can request revisions before approval; Loop generates concrete alternative chapter plans and you select one. Revisions are limited so the course remains a contract, not an endless negotiation.
- Which topics work?
- Any topic that passes safety and relevance validation — including niche ones, which trigger live research. Loop does not claim to teach topics that fail its safety checks, and it is not a source of medical, legal, or financial advice.
- What is free?
- The Free plan includes a full course with the complete mastery experience — diagnostic, five chapters, gates, remediation, and a signed, publicly verifiable credential.