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n this short tutorial, you will learn a simple workflow for verifying AI-generated outputs before using or publishing them. Generative AI systems can produce fluent and confident text, but confident language does not guarantee factual accuracy. Incorrect numbers, fabricated citations, and misleading causal claims can appear highly credible. This video introduces a lightweight verification workflow that helps you quickly identify high-risk claims and check them using reliable sources. What you will learn: • How to detect high-risk claims in AI outputs • Which elements to verify first (numbers, citations, causal statements) • A practical verification loop: Generate → Verify → Use/Publish • A quick method to confirm or reject claims using independent sources This approach helps reduce the risk of confidently incorrect information when using AI for writing, research, education, or decision-making. GenAISA project funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.