Speak Their Language, Not Yours

You're drafting an email to leadership about your project.

What you write:

"We're implementing a cross-functional synergy framework to optimize stakeholder alignment and drive strategic outcomes."

What your team actually said in last week's retro:

"We finally got everyone in the same room so we're not stepping on each other's toes anymore."

You're explaining your work to a potential collaborator.

What you write:

"I facilitate enterprise-wide knowledge management infrastructure."

What your colleague said about you:

"She's the reason I can actually find stuff when I need it."

You're updating your LinkedIn headline.

What you write:

"Results-driven professional leveraging innovative solutions."

What your former client texted you:

"You made the nightmare project actually work."

Notice something?

One version sounds like you're trying to impress someone. The other sounds like a human being describing real value.

The words that make people listen aren't in your head. They're already written—buried in your Slack messages, performance reviews, and the casual comments people make about your work. Your colleagues have been telling you exactly what resonates. You just need to listen.

That's what AI does better than any brainstorming session: it finds the exact words people use when they're describing what you actually do, extracts the specific moments they understood your value, and surfaces why they really remember working with you.

In 1923, Claude Hopkins spent weeks reading customer letters about toothpaste. He wasn't looking for marketing ideas. He was looking for the one phrase that would sell.

He found it in a complaint: "I can feel a film on my teeth."

Not "improved oral hygiene." Not "advanced cleaning technology." Just "film on teeth"—the exact words customers used to describe their problem.

"Pepsodent removes the film on teeth" became one of the most successful campaigns in advertising history. Hopkins didn't invent that language. He borrowed it.

You have dozens or hundreds of messages, reviews, and comments about your work right now. Somewhere in there is the exact phrase that makes your next audience say "that's exactly what I need." The authentic language that connects isn't in your head—it's in what people already say about you.

The mistake most professionals make: they translate human language into "professional" language.

- Colleague: "She untangles messes" → You write: "Project remediation specialist"

- Manager: "He makes complicated stuff make sense" → You write: "Technical communication expert"

- Client: "Finally someone who gets it" → You write: "Strategic partner with deep domain expertise"

The professional version sounds credible to you. The human version sounds credible to everyone else.

AI can analyze hundreds of messages, reviews, and feedback in seconds and surface the patterns you'd never spot manually—the exact phrases, the emotional moments, the real impact, the authentic descriptions of your value.

When you use the actual words people use to describe your work, your audience recognizes real value immediately. It's not corporate speak—it's how real people describe real impact. That authenticity is impossible to fake and easy to trust.

Hopkins knew this. He called it "salesmanship in print"—writing the way customers talk, not the way copywriters think they should talk.

Your colleague is saying "synergistic cross-functional collaboration." You're going to say "gets everyone in the same room so we stop stepping on each other's toes."

Guess which one your manager remembers?

AI just makes it faster to find the words that already resonate. You're not inventing language—you're extracting it from the people who already value your work.