Learn what AI hallucinations are, why they happen, and how to build practical workflows for catching and preventing them.
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AI hallucinations are not bugs — they are a fundamental consequence of how language models work. Models predict the most probable next token, not the most truthful one. Understanding this distinction is the first step to using AI safely.
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What Are AI Hallucinations?
Define AI hallucination and distinguish it from other types of AI errors
How to Spot and Prevent Hallucinations
Apply prompt engineering techniques that reduce hallucination risk
Building a Fact-Checking Workflow
Build a repeatable 5-step workflow for verifying AI-generated content