Deterministic scoring
Objective answers are scored by the server at submission; AI never sets or changes an official score.
Academy
Academy runs reviewed assessments for courses and dated batches: server-timed attempts, deliberate result release, instructor feedback, and certificates that anyone can verify.
Seven steps from workspace to verified certificate.
An organisation admin adds instructors and learners by email invitation. Roles decide what each person can see; the server re-checks membership on every request.
Authors write single-choice, multiple-choice or manually graded short-answer questions. A draft only becomes usable once a human approves it — generated drafts included.
Publishing freezes the question set, time limit, pass mark and the result-release policy for that version, so later edits cannot change a result that already exists.
A dated batch distributes a published version to every enrolled learner, and new enrolments receive it automatically. Progress and cohort analytics stay tenant-scoped.
The deadline comes from the server, not the browser. Answers save individually with visible state, an attempt can be resumed, and submission is confirmed before it is final.
Short answers are graded by staff, then results are released either on submission or deliberately later. Instructors can publish feedback that only the owning learner can read.
A passing, released attempt can receive one certificate. Anyone can check its code on a public page, which shows the organisation and assessment names — never the learner's private identity.
Objective answers are scored by the server at submission; AI never sets or changes an official score.
Pending manual grading, unreleased results and unavailable integrations are shown as they are — no invented progress.
Every issued certificate has a verification code and a public page that reports valid or revoked, and when.
Already have a certificate? Paste its verification code on the JachAI home page to check it without signing in.