🎭 What AI Gets Wrong About You (And Why That's Actually Useful)

AI Advantage Team

Nov 3 • General Discussion

Here's something nobody talks about:

AI will misunderstand you sometimes. And that's one of its most valuable features.

Let us explain.

The Scenario:

You ask AI to help you write an email to a frustrated client.

You give it context: "Client is upset about delayed delivery. Help me write a response."

AI drafts something professional, apologetic, and solution-focused.

You read it and think: "This isn't how I'd actually say this."

Most people's reaction: "See? AI doesn't get me. This is useless."

But here's what's actually happening:

AI just held up a mirror that shows the gap between what you said you wanted and what you actually wanted.

And that gap is incredibly valuable information.

Why AI "Getting It Wrong" Helps You:

1. It reveals your assumptions

When AI misses the mark, it's often because you assumed it would know something you didn't say.

Example: You said "write an email to a frustrated client" but didn't mention:

→ The client relationship is 5 years old

→ This is the first issue we've ever had

→ You value directness over corporate-speak

AI can't know those things unless you say them. When it gets it wrong, you learn what context matters.

2. It forces you to articulate your actual voice

When AI writes something that "doesn't sound like you," you suddenly have to explain what DOES sound like you.

"Too formal" → Okay, what's the right level of formality?

"Too robotic" → Okay, what makes your voice feel human?

"Too generic" → Okay, what makes your approach unique?

Most people have never articulated these things clearly. AI forces you to.

3. It shows you patterns you didn't realize you had

When AI consistently misses the same way, it reveals something about how you communicate.

If AI always writes longer than you'd like → Maybe you're not specifying length

If AI always sounds more corporate than you want → Maybe you're not describing your casual tone

If AI always misses your humor → Maybe you haven't shown it what your humor looks like

The wrong outputs teach you what to include in future prompts.

For Example :

We asked AI to draft a sales email for a coaching program.

First draft: Generic, hype-filled, felt "salesy" in a gross way.

Our reaction: "This isn't our vibe at all."

But instead of dismissing it, we asked: "What specifically feels wrong?"

The answer:

→ Too many exclamation points

→ Too focused on features instead of transformation

→ Too much urgency-based manipulation

→ Doesn't acknowledge the reader's skepticism

We'd never articulated those brand guidelines before.

But AI getting it wrong forced us to define what our sales voice actually is:

✅ Conversational, not hype-driven

✅ Transformation-focused, not feature-focused

✅ Honest about objections, not pushy

✅ Confident but not aggressive

Now when we use AI for sales copy, we include those guidelines. And the outputs are 10x better.

The Lesson:

When AI gets it wrong, don't think "AI is broken."

Think: "What did I not tell AI that it needed to know?"

Every wrong output is a chance to:

→ Clarify your voice

→ Define your style

→ Articulate your values

→ Understand your communication patterns

Over time, the "wrong" outputs become rare because you've taught AI exactly how you think, write, and communicate.

Your "Wrong Output" Exercise:

Next time AI gives you something that feels off, don't just dismiss it.

Ask yourself:

What specifically feels wrong?
What should it have included that it didn't?
What assumption did I make that AI couldn't have known?
How can I describe what "right" looks like?

Then give AI that feedback and try again.

Drop your answer below: What's one thing AI consistently gets wrong about your voice or style?

Let's figure out what you're not telling it, and how to fix that. 🎭

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