How the Readiness Check works
Deterministic JavaScript in your browser — no LLM anywhere in v1, no server, no account, no cookies. The scoring rubric below is the whole story; there is nothing hidden to game.
| Dimension | Items |
|---|---|
| Understand AI | 3 items — objective scenario MCQs |
| Use AI tools | 3 items — objective scenario MCQs |
| Judge AI output | 2 items — objective scenario MCQs |
| Build with AI | 2 items — objective scenario MCQs |
| AI self-efficacy (self-report) | 2 items — self-report, never mixed into the knowledge score |
Bands per dimension: Curious < 35% · User < 65% · Practitioner < 90% · Builder ≥ 90%. Overall = plain mean of the four knowledge dimensions. Self-efficacy is self-report and shown separately — research (01/2026) shows self-assessed AI literacy correlates badly with tested literacy, so mixing them would flatter you and lie.
Item sources & attribution
Objective items: original scenario MCQs informed by GLAT-style scenario testing and mapped to DigComp 3.0 competence areas (CC BY 4.0). Self-efficacy items: adapted from the MAILS AI self-efficacy scale (CC BY 4.0, Carolus et al.). Attribution shown on the methodology page. Every item passes editorial approval before appearing here. Physical traits are never scored. The optional Know your nature step uses the public-domain Mini-IPIP statements, is scored only in your browser, stores nothing and names no types — the result exists on your screen and nowhere else.
Compliance, stated plainly
A deterministic quiz is not an AI system (Commission definition guidelines, 02/2025) — no AI Act scope in v1. Any future AI-generated feedback will be a clearly labelled opt-in (transparency duties under Art. 50 apply from 02/08/2026). GDPR: client-side only, rxed processes no personal data from this check. No emotion inference, no pressure patterns — supportive routing only.