How DigiBot 2.0 works
An interactive tour of the artefact: what it measures, how the AI helps, and how to get value from it in 20 minutes a week.
Scroll to explore →
Step 1 · 1/5
Anchored in MAILS
We measure nine sub-dimensions of AI literacy using the validated MAILS scale (Carolus et al., 2023). The assessment is short, evidence-based, and re-takeable.
Step 2 · 2/5
Items tailored to your role
An LLM rephrases each item so it sounds natural for your role and your team - the underlying construct stays intact.
Step 3 · 3/5
Ranked recommendations, evidence at hand
Where to invest first is computed from your largest deficit (DP-1). Each recommendation surfaces 2-3 evidence chunks with a confidence band (DP-2).
Step 4 · 4/5
Train with personalised exercises
Short sessions targeting your biggest growth opportunities - reflective, scenario-based, no theory dumps. Earn XP and build a streak.
Step 5 · 5/5
Track your growth, your data stays in Switzerland
Re-take any time; results stack. Everything lives on Cloud SQL in europe-west6. No external training on your data.
What it can do for you
Find your AI literacy baseline
Honest, evidence-based score in under 12 minutes.
Get the next concrete step
Each recommendation includes a tomorrow-morning action - not vague advice.
Learn by doing, not by reading
Scenarios, spot-the-issue, ranking - exercises adapt to your role.
Stay current
Knowledge base is curated and refreshed; new chunks appear in your evidence.
Play & learn
Short animated mini-games sharpen specific skills (coming soon).
Bring your team
Admin tools, allow-list, aggregate analytics.
Ready to start?
Set up your profile, take a 4-minute quick check, and see your first ranked recommendation.
Open my journeyMAILS-anchored · evidence-grounded · runs in Switzerland