A practical checklist for catching AI errors and hallucinations before they cause a real problem.
AI tools sound confident even when they're wrong, and that confidence is exactly what makes their mistakes dangerous to miss. This guide is a practical checklist for knowing when to double-check an AI answer instead of taking it at face value.
Inside: understanding what a "hallucination" actually is and why it happens, situations where AI is especially unreliable (dates, numbers, citations, legal or medical specifics), quick verification habits that take seconds, and knowing which decisions should never rest on an unverified AI answer alone. A safety-net companion to every other guide in this series. Available in print (8.5×11, binder-ready) and digital (6×9, phone-optimized) formats.
A practical checklist for catching AI errors and hallucinations before they cause a real problem.
