Most SAFe Agilist candidates fail because they study the wrong domains. Our AI pinpoints exactly where you'll lose marks and fixes it - before you spend $995 on a failed exam.
Standard prep treats all 5 SAFe Agilist 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 SAFe Agilist 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 SAFe Agilist students. Real first attempts.
"I kept treating the ART like a big project team.Edureify AI's ART-level scenarios made it consistently clear that the ART is a long-lived value delivery vehicle, not a temporary project group. That distinction affects how you answer almost every organization-level SAFe question."
"PI Planning mechanics were my weakest area.Edureify AI's dependency identification and Program Board scenarios made the event's purpose concrete - it's not a big sprint planning session, it's an alignment mechanism. After 20 PI Planning scenarios, I stopped confusing the two."
"The ART predictability metric was something I hadn't deeply understood beforeEdureify AI. PI Objectives committed vs. achieved is the ART's primary performance measure - not team velocity, not sprint completion. The platform's ART-level metrics scenarios fixed that misunderstanding."