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How we work — artificial intelligence, accuracy and limits

Part of the content on Grants.VarnaHub is generated with artificial intelligence. Here is what, with which models, how we check it, how often we are wrong and what we cannot guarantee.

What is generated with artificial intelligence

Not generated with AI: the list of calls, deadlines and budgets — they come automatically from the official sources (the EC portal and ISUN). The preliminary check in “In-depth analysis” is rule-based, not AI.

Which models and where they run

How we check

How often we are wrong

We measure accuracy by manually reviewing a random sample of “eligible / conditional / not eligible” assessments (with a quote). “Unclear” is not an error — it means the guidelines do not say.

DateVersionSampleCorrectNote
16.10.202614011 (28 %)before the fix — mostly “lump sum” misread as “not eligible”, and unrelated quotes
16.10.202624034 (85 %)after the fix (lump sum, related quote, scope sentences); with a sample of 40 the true share is likely between 70 and 94%. About 82% of all assessments are “unclear” — guidelines rarely list every cost type

Therefore: assessments are guidance, not a legal opinion. Final eligibility is checked in the official guidelines and with the managing authority — or in the in-depth analysis reviewed by a person.

When all calls will be analysed

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Changes in the documents after the analysis

Legal note

The content is informational and is not legal or financial advice. We label AI-generated content in line with the transparency requirements of Regulation (EU) 2024/1689 (the AI Act). Spotted an error? Write to us with the “✎ Note” button — every note is read and fixed.