Lesson 6 — You Are the QC · Beginner’s AI Series · Kit 1: AI for the Rest of Us
I read the news, brah. “AI makes things up.” They call it hallucinating. I had enough hallucinations in the ’70s — I don’t need my computer doing it too. What if I send an email based on fake information? What if I book a flight that doesn’t exist?
Fair questions. Here’s the answer that changed how I use AI forever: I stopped expecting the machine to be perfect, and I took my old factory job back.
Boomer’s note: “A shockingly intelligent concern. Yes — AI can state absolute nonsense with the confidence of a tenured professor. Which is why today’s lesson is the most important one on this entire website.”
What this lesson does
Teaches you what AI hallucinations are and gives you a simple checking routine — so you can use AI for real decisions without getting burned. One definition first: a hallucination is a confident, fluent, wrong answer. Invented facts. Misremembered dates. Sources that don’t exist. The AI isn’t lying — there’s no intent — it’s predicting plausible words, and plausible is not the same as true.
Why you’d care
Because the errors don’t look like errors. A wrong AI answer reads exactly as smooth and certain as a right one. There’s no stammer, no shifty eyes. Which means the filter can’t be “does this sound right?” The filter has to be a routine — and the routine is old technology. In my factory, one man’s whole job was inspection: look, double-check, catch the bad ones before they ship. The tools changed. The job didn’t. You’re the inspector now.
How to do the thing
Step 1. Ask for receipts. Add to any factual question: “Show me your sources.” Perplexity does this automatically — every answer comes with footnotes you can click.
Step 2. Click the footnote. Here’s the part most people miss: a citation tells you WHERE to check, not THAT it’s right. AIs sometimes cite a real page that doesn’t actually say what they claimed. Thirty seconds on the source settles it.
Step 3. Cross-check the big stuff. Take an important claim from one AI to a different AI — or better, to an official website. If Claude tells you something factual, ask Perplexity: “Is this true? Show me the sources.” Two independent yeses beat one confident answer.
Step 4. Scale the checking to the stakes. A recipe suggestion? Glance and go. Anything touching money, health, travel bookings, or legal matters? Primary source only — the official website, the pharmacist, the embassy. AI gets you to the starting line on those, never the finish line.
Step 5. Make it a habit, not an event. The routine takes under a minute and it’s the difference between “AI burned me once so I quit” and using it confidently for years.
Boomer’s note: “Anyone who tells you their AI ‘never gets things wrong’ is selling something. Even MY chat notebook — grounded in my own sources, citations on every answer — ends each reply reminding you to check. Royalty verifies. So should you.”
What could go wrong
“Checking everything sounds exhausting.” You don’t check everything — that’s what Step 4 is for. Low stakes, low effort. The habit is knowing which answers deserve the minute.
“The two AIs disagree with each other.” Wonderful — that’s the system working. Disagreement means “go to the primary source,” and you just avoided trusting the wrong one.
“It apologized and corrected itself when I pushed back.” Yes, and the correction can be wrong too. Don’t debate the AI into truth; verify outside it.
Boomer’s verdict
“He feared the machines were lying to him, then remembered he spent three decades catching machines in lies. 10/10 — the wafer inspector rides again.”
🕐 Uncle Tries It — Try It Too (under 2 minutes)
Ask your chatbot a factual question about your own town — “What year was the library in ___ built? Show your sources.” Then click the source and see if it really says that. Congratulations: you just did quality control on an AI.
Next lesson: Meet Your Staff — which chatbot for which job (the Librarian, the Ghostwriter, and the Engine).
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