https://www.hallucination-free.org/topics/Recent content in Practical guides on Hallucination-Free AIHugo -- gohugo.ioen-usSun, 11 Oct 2026 00:00:00 +0000https://www.hallucination-free.org/topics/can-ai-be-hallucination-free/Sun, 11 Oct 2026 00:00:00 +0000https://www.hallucination-free.org/topics/can-ai-be-hallucination-free/What does “hallucination-free” mean here? Our working standard is that unsupported claims must not be accepted as verified facts or used to authorize actions within the workflow being assessed. Specify what counts as support, which outputs are covered and which checks enforce that boundary. This is an evaluation standard, not a certification that a model or product never makes an error. That distinction matters when comparing system designs. AWS describes Automated Reasoning checks as validation against policies supplied by the application owner.https://www.hallucination-free.org/topics/prevention/Sun, 11 Oct 2026 00:00:00 +0000https://www.hallucination-free.org/topics/prevention/Where should prevention start? Start by defining the task and its authoritative records. For example, an internal expenses assistant needs the policy that applies to the employee, expense date and location. This is a hypothetical design example: choose these conditions deliberately rather than leaving the model to infer them. Then specify what the output is allowed to claim and which actions it can initiate. Keep the source, interpretation, validation result and action outcome inspectable.https://www.hallucination-free.org/topics/how-to-measure-hallucinations/Sun, 11 Oct 2026 00:00:00 +0000https://www.hallucination-free.org/topics/how-to-measure-hallucinations/What exactly are you measuring? Choose a property before choosing a score. FActScore divides generated text into atomic facts and measures the percentage supported by a reliable knowledge source. Its reported human evaluation concerns biographies; adopting the general idea for business workflows requires your own evidence and labeling rules. Read the paper abstract. For this guide, use supported, contradicted and unresolved as distinct claim labels. These are our proposed reporting labels, not an assertion that every benchmark uses them.