Most CTFL candidates fail because they study the wrong domains. Our AI pinpoints exactly where you'll lose marks and fixes it - before you spend $250 on a failed exam.
Standard prep treats all 6 CTFL domains equally. Our AI maps your real knowledge gaps on Day 1 and shows you the exact 2–3 domains costing you the exam - so no time is wasted on material you already know.
Our AI doesn't just mark you wrong. It explains the manager-thinking logic behind every CTFL answer - then adapts your next question to target the exact gap it just found.
All plans include the AI diagnostic, adaptive questions, and AI tutor. The difference is how much hand-holding you want.
| Feature | Edureify | Boson / Wiley | Books only |
|---|---|---|---|
| Domain diagnostic | ✓ | ✗ | ✗ |
| Adaptive questions (CAT format) | ✓ | Linear only | ✗ |
| AI tutor + explanations | ✓ | ✗ | ✗ |
| Personalised study plan | ✓ | ✗ | ✗ |
| "Not ready" exam alerts | ✓ | ✗ | ✗ |
| Pass guarantee | 30-day | ✗ | ✗ |
| First-attempt pass rate | 95% | ~52% | ~45% |
| Starting price | $49/mo or $199 | $129–$179 | $60–$120 |
95% of our students pass first attempt. The ones who don't are the ones who studied everything equally instead of fixing their actual gaps first.
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Real CTFL students. Real first attempts.
"Error, defect, failure - three distinct concepts the exam tests with surgical precision.Edureify AI's scenario classification practice required me to identify which of the three had occurred in a described situation, not just define the terms in isolation. Applied precision is harder than definitional knowledge and the exam tests the applied version."
"Boundary value analysis is tested at the level of generating complete test cases, not just identifying boundary values.Edureify AI's BVA scenarios required me to produce the full test set - including just-inside and just-outside values - before the exam showed me how many questions specifically test this completeness."
"The seven testing principles are tested in scenario application, not definition recall.Edureify AI's scenario matching practice - 'which principle explains why we should test early in this situation' - built the principle-to-scenario mapping the exam rewards rather than principle recitation."