When AI Gets It Wrong: Fact-Checking and Staying Authentic

Everything in this course so far assumes AI works as advertised. Most of the time it does. When it doesn’t, the consequences range from embarrassing (publishing wrong information) to dangerous (giving harmful advice in health, legal, or financial topics).

This lesson covers what goes wrong and how to catch it before your students do.

Hallucinations: Confident Incorrectness

AI models generate text that sounds authoritative. They don’t “know” facts; they predict the most likely next word based on patterns in their training data. Sometimes the most likely-sounding word sequence is factually wrong.

Common hallucination patterns:

Fabricated statistics. “Studies show that 73% of students prefer video content.” There is no study. AI made it up because statistics make text sound credible.

Invented sources. AI will cite books that don’t exist, attribute quotes to the wrong authors, and reference studies that were never conducted.

Wrong technical details. Pricing, feature lists, software capabilities, API parameters. AI’s training data has a cutoff date, and it fills in gaps with plausible guesses.

Plausible but wrong explanations. The most dangerous type. An explanation that sounds right to a non-expert but contains subtle errors that an expert would catch.

The Fact-Checking Protocol

Before publishing any AI-assisted lesson:

Verify every statistic. If AI cites a number, find the original source. If you can’t find it, remove the statistic.
Check every factual claim. Names, dates, technical specifications, pricing, feature lists. Open the actual website or documentation and confirm.
Test every instruction. If AI tells students to click a button or follow a process, do it yourself. Software interfaces change. AI’s screenshot of the process might be from an older version.
Read with fresh eyes. Put the lesson away for an hour, then re-read it. Errors that were invisible during editing become obvious with distance.

The Generic Output Problem

Even when AI is factually correct, it produces generic content. How to spot it:

Vague qualifiers. “Various,” “numerous,” “several,” “a variety of.” These words mean “I don’t know the specific number.”

Hedging language. “It’s worth considering,” “You might find,” “Some experts suggest.” If you know something, say it directly.

Perfect structure, no substance. Every section has an intro, 3 points, and a summary. The structure is flawless and the content is empty.

Missing specificity. No numbers, no names, no real examples. “A marketing strategy” instead of “a 3-email welcome sequence sent over 5 days.”

No personality. You can’t tell who wrote it. It could be anyone’s course.

The fix for all of these is the same: add your specific experience. Replace “many students struggle with this” with “In my last cohort, 8 out of 12 students made this exact mistake.”

Voice Loss

The biggest risk of AI-assisted writing isn’t accuracy. It’s that your course starts sounding like it was written by a committee. Every lesson has the same rhythm, the same tone, the same sentence structures.

Warning signs:

Your partner reads a lesson and says “This doesn’t sound like you”
You can’t tell which parts you wrote and which parts AI generated
The course reads like a textbook when you intended it to feel like a conversation
Every lesson has the same structure (hook, 3 sections, summary, action item)

How to fix it:

Read your lesson aloud. If you wouldn’t say it that way in a real conversation with a student, rewrite it. Break the pattern. Start a lesson with a story instead of a hook. End with a question instead of a summary. Use a short paragraph. Then a long one. Vary the rhythm.

The Over-Reliance Trap

The most insidious problem with AI isn’t that it makes mistakes. It’s that it makes you lazy.

When generating content becomes too easy, you stop thinking deeply about what you’re teaching. You accept the first draft because it’s “good enough.” You stop adding your own examples because AI provided some. Your course becomes a curated version of what everyone else already says.

Your students can tell. They bought your course for your perspective. When they get a cleaned-up version of what’s already available for free online, they refund.

The antidote: For every lesson, write at least 200 words yourself before involving AI. Start with your experience, your stories, your opinions. Let AI organize and structure your thinking, not replace it.

Your Competitive Advantage Is You

AI can generate a course on any topic in the world. So can every other course creator using AI. The courses that stand out are the ones with a real person behind them. Someone who has opinions. Someone who has made mistakes and learned from them. Someone who cares enough about the topic to have a unique perspective.

That’s you. AI is the tool. You’re the teacher.