Most SAFe Agilist candidates fail because they don’t know when they’re actually ready. Our AI continuously assesses your readiness through tutoring sessions and adaptive practice, updates your weak domains in real time, and adjusts your study roadmap until you're exam-ready.
Standard SAFe Agilist exam prep treats all 5 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 study 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 practice question to target the exact gap it just found.
All plans include the AI diagnostic, adaptive practice questions, and AI tutor. The difference is how much hand-holding you want.
| Feature | Edureify | Boson / Wiley | Books only |
|---|---|---|---|
| Domain diagnostic | ✓ | ✗ | ✗ |
| Adaptive practice 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 with targeted practice questions first.
Get SAFe Agilist access →
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."