Have you ever asked AI a question and gotten an answer that sounded absolutely convincing... only to discover it was completely wrong?

In Episode 8 of Regular Guy, Real AI, Ken Lawler explains one of the most misunderstood aspects of artificial intelligence: AI hallucinations. These aren't malicious lies—they're confident, believable answers that can include fabricated facts, made-up statistics, fake citations, and nonexistent places.

Contributor Ellen Walkenhorst shares the story of a bed & breakfast owner who nearly published an AI-generated blog post filled with fictional attractions and outdated local information. Then Jim Kinder breaks down why AI isn't trying to deceive you—it simply predicts what sounds most likely to come next.

Ken wraps up the episode with a practical three-step verification playbook every AI user should adopt:

Verify specific facts, names, dates, and statistics
Match your fact-checking effort to the importance of the task
Use AI to challenge and critique its own responses

Whether you're using AI for work, marketing, research, content creation, or everyday life, learning to recognize hallucinations could save your reputation—and your business.

In this episode you'll learn:

What AI hallucinations really are
Why AI can sound confident while being completely wrong
The biggest danger zones for misinformation
Three simple habits that dramatically improve AI accuracy
How to make AI help verify its own work

Next week: What should you never paste into AI? We tackle privacy, sensitive data, and the business information that should never leave your computer.

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