Chapter 19: Everyone Makes Mistakes

The Seven to Avoid

What are the most common AI mistakes, and how do I avoid them?

A checklist graphic titled "Before You Add Any New AI Tool: Run This Check." Lists the key questions to ask before adopting a new tool: Does it solve a real problem you have today? Is there a free tier to test it? Does it integrate with tools you already use? Is the data handling policy acceptable? Can you cancel easily? Designed to prevent tool-hoarding and shiny-object syndrome.

Chapter Recap

Everyone slips up with AI at first. The good news is the mistakes are easy to avoid. This chapter names the seven most common ones. Trusting AI blindly. Sharing private data. Letting it replace your voice. Giving up too soon. Publishing without a read-through. And a couple more. Each one has a simple fix. Learn them now, and you skip the painful lessons. A quick check before you hit send saves you every time.

In This Chapter

Grab-and-Go Prompts

1. Verify a Statistic or Claim: use right after AI gives you a fact

What is the original source for that, and how would I verify it?

2. Fix the Tone: when output doesn’t sound like you

The tone is off. Here’s what sounds more like me: [paste an example of your own writing].

Download

Your Move

Which of these seven mistakes have you already made, or are most likely to make? Write it down. Then write one specific thing you’ll do differently because of reading this chapter. That’s your new rule. Post it somewhere visible.


AI Jiu-Jitsu book cover

Read the full chapter in
AI Jiu-Jitsu: Run Circles Around the Big Guys, the book this toolbox comes from.

Get the book at AJJbook.com →

Prefer to have it set up for you? BreakThru Growth offers AI coaching and done-for-you setup for small businesses → BreakThruGrowth.com

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