AI test generators vary in what they generate, extract, review and publish. A useful evaluation starts with your own licensed material and exam requirements—not a universal ranking or an unverified feature checklist.
Use one controlled sample
Choose a representative paper containing ordinary text, equations, diagrams and the question types your institute actually uses. Keep a manually verified version as the reference. Use the same source, instructions and reviewer for every product.
Measure the complete workflow
| Area | What to record |
|---|---|
| Input coverage | Questions, options, figures and answer keys captured from the source. |
| Correction effort | Number of edits and faculty minutes needed before publication. |
| Academic quality | Correctness, syllabus fit, difficulty and ambiguity, reviewed by a subject expert. |
| Publishing | Question types, marking rules, scheduling, solution release and student access. |
| Reporting | Results, topic analysis, exports and the reports your team actually uses. |
| Commercial scope | Subscription, usage limits, messaging, payment fees, revenue share, migration and support. |
How ThePrepLab should be evaluated
ThePrepLab offers AI-assisted question generation, extraction of existing PDF questions, reusable question-bank workflows and assessment delivery with branded student experiences. Generation and extraction are separate workflows. Faculty should verify questions, answer keys, solutions, diagrams and formatting before students see them.
Check competitors from current sources
Classplus, AppX, Graphy, Learnyst, Moodle and other products change over time. Review each vendor's current public description and ask them to demonstrate any requirement that matters to you. Do not infer that a capability is absent because it was missing from an old article or a limited public page.
Make a decision from evidence
Score each product against the same weighted rubric, keep dated screenshots or exports, and compare written proposals for the same volume and service scope. A product is the better fit only if it performs better on the requirements your team has agreed are important.