How AI takes part in your decision — and where its role ends
AI helps us process university, visa and money data faster than a human could by hand. But studying abroad is a high-stakes decision — the cost of an error is a lost year, lost money or a visa refusal. So we don't hide AI behind a 'smart consultation'; we show exactly where it entered your decision and who answers for the outcome. Seven questions — seven of our answers.
- 1
What did AI summarise?
AI condenses large sources — university rules, visa requirements, costs — into a short answer for you. We always show which source a fact came from: link, year, publisher. A summary without a source never reaches the answer — that is the
Facttag in the provenance block. - 2
Did AI shape the shortlist?
Yes — AI ranks universities against your profile. That is its job. But it is an estimate, not truth: it carries the
AI estimatetag and is never presented as guaranteed admission. Ranking is a starting point for a human, not a verdict. - 3
Did AI form the first impression?
It might — and that is exactly what matters to see. So AI estimates are visually separated from facts: you see at once where the verifiable ends and the model's judgement begins. A first impression you can't trace is dangerous; a traceable one is fine.
- 4
Did anyone check the AI output?
On a paid consultation — yes. The final route is approved by a live advisor; that is the
Human decidestag. On the free quiz there is no such gate, and we say so honestly — there you get a bearing, not an approved decision. - 5
What evidence decided it?
Only verified data for the five destinations we maintain by hand (Germany, the Netherlands, Estonia, Latvia, Lithuania). AI does not 'supplement from memory': if a fact isn't in our data, the answer carries the
No datatag instead of an invented average. - 6
Where did human expert judgement enter?
Where data isn't enough for a single answer: the priority between risk and speed, reading a borderline status, choosing a backup route. These are human decisions — and we tag them, rather than passing them off as the model's output.
- 7
Who answers for the outcome?
A human. AI lays out the options, an advisor checks them, the decision is yours — with our help. We don't hide behind 'the algorithm said so': every recommendation has an author.
AI lays out your options. A human checks them. The decision is yours.
And under every key recommendation — a provenance block: what is a fact, what is an AI estimate, where a human decides, what we don't know. Not because we're required to. Because what's at stake is your year.
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