Regular Guy, Real AI

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story of a bed & breakfast owner who nearly published an AI-generated blog post filled with fictional attractions and outdated local information.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:

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:

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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Host Ken Lawler tackles the skill nobody teaches: prompting. Because the secret nobody tells you is that most people aren’t bad at AI — they’re bad at asking. The words you type in matter more than which AI you’re using or which subscription you paid for.

Contributor Ellen Walkenhorst opens with her brother-in-law Tony — a contractor who spent 40 minutes getting AI garbage out of a six-word prompt, then got a usable client quote in 4 minutes once they fixed it. Contributor Jim Kinder decodes “prompt engineering” into the simplest mental model you’ve ever heard: you’re briefing a smart intern.

Then the Deep Dive: three rules that turn a bad prompt into a great one.

•  Set the Scene Before You Make the Ask — stop leading with the verb.

•  Show, Don’t Just Tell — examples beat adjectives, every time.

•  The Second Prompt Is Where the Magic Lives — the first answer is the rough draft.

The Monday Challenge: Take a prompt you used recently. Rewrite it using the three rules. Follow up at least twice. Email the before-and-after to Ken — wildest results get read on the next show.

Coming up next week: AI hallucinations — what to do when AI gets it wrong with full confidence.

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Last week we said AI isn’t coming for your job. A lot of you wrote in. This week, host Ken Lawler goes one layer deeper: AI isn’t replacing you, but it IS rearranging the furniture inside your job. Same job title — totally different daily experience.

Contributor Ellen Walkenhorst brings the story of Maria the baker, who cut four hours of weekly social posts down to twenty-five minutes — not by going faster, but by changing the order of the work. We decode “AI-first workflow” into plain English, then dive into the three shifts changing how regular people approach every task:

•  Start at the End — describe “done” first, reverse-engineer from there.

•  Edit, Don’t Create — stop being the blank-page hero, start being the editor.

•  Prototype in Minutes — test twenty ideas in the time it used to take to test one.

The Monday Challenge: Pick one task you do every Monday. Try it AI-first. Time both versions. Email Ken the results — best ones get read on next week’s show.

Coming up next week: How to actually prompt AI — three rules that turn a bad prompt into a great one.

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Everybody’s asking the same question out loud: “Is AI coming for my job?”

This week, Ken gives you the honest answer — no hype, no doom, no tech jargon.

You’ll walk away knowing which tasks (not jobs) AI is actually taking, the three buckets every job falls into, why “learn to code” aged badly, and a 15-minute exercise that maps exactly where AI fits in your own career.

WHAT’S IN THIS EPISODE:

Ellen Walkenhorst breaks down two fresh AI-at-work headlines — what actually happened vs. what the news said. Mark Sewel decodes the five words you keep hearing (automation vs. augmentation, task vs. job, AI exposure, human-in-the-loop, productivity gain) so you’re never the only one not nodding along. In The Lab, we walk you through the “Task Triage” exercise — a simple way to sort every task you did last week into three columns and find your personal moat. In the Deep Dive, Ken lays out the three buckets of jobs, the quiet winners (trades, healthcare, skilled labor), and how to tell real AI layoffs from layoffs getting blamed on AI. Jesse Primir takes us to a regular Tuesday in 2030 for a plumber, a middle manager, and a high-school teacher — showing what AI quietly does in the background while the real work stays human. Finally, the Regular Guy Tip — “The Boss Translator” — a 30-second trick that’ll make every Slack message and email you send sound like you actually slept last night.

THE BIG IDEA:

AI isn’t a robot coming to take your job. It’s a new tool your coworkers are about to learn. Be the first one on your team to figure out how to use it well — or be the last. That’s the entire game. Send us your three columns, subscribe, leave a review, and share with someone who’s been losing sleep over this. 

In this episode you will learn why AI results vary so much between users, the real reason AI does not work for most people, a simple four-part formula anyone can use including Role, Task, Context and Format, a hidden ChatGPT feature that instantly improves every answer, how better prompts can save hours every week, and why the biggest advantage in AI is no longer the tool but the person using it.

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AI just crossed a line—and most people haven’t noticed yet.

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AI isn’t just something you hear about anymore… it’s already making decisions that affect your life — from loans and insurance to job applications and beyond.

In Episode 2 of Regular Guy / Real AI, Ken Lawler breaks down what just changed… and what it means for you.

We start with a major shift in accountability — companies using AI now have to prove their systems are fair and show how decisions are made. No more hiding behind “the algorithm.”

Then we move into what’s coming next… AI that doesn’t just help you search — it actually does things for you. Buying gifts, booking travel, negotiating bills… even while you sleep.

In The Lab, you’ll learn one simple sentence that instantly makes AI smarter and more useful — turning it from a guessing machine into something that understands your situation first.

And in Decode, we simplify how everyday people can start building with AI using a concept called “vibe coding” — no technical background required.

This episode is about one thing:

AI isn’t replacing you… but it is changing how you operate.

The people who learn how to use it — even at a basic level — will have a serious advantage.

WHAT YOU’LL LEARN

- What the new AI Accountability shift means in real life

- How AI is starting to take action — not just give answers

- A simple trick to get dramatically better results from AI today

- The basics of “vibe coding” and how non-technical people can build with AI

Try the method from this episode before your next AI request — and see the difference for yourself.

For more tools, walkthroughs, and real-world AI use cases, visit:

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