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Tips & Tricks

Your AI-Written Resume Sounds Great. Does It Sound Like You?

Use AI to sharpen your real experience, catch invented claims, and write a resume you can explain in an interview.

Andy
Chief Human
AI-resume-cover.png

Your resume used to say you answered customer questions. Now it says you “orchestrated customer-centric solutions across a dynamic stakeholder ecosystem.”

Congratulations. You have been promoted to a person nobody understands.

AI can be useful when you’re staring at a blank document or trying to describe work you’ve done so often that it barely registers as a skill anymore. It can help you find the point, cut repetition, and put relevant experience where someone will actually see it. But a polished sentence still needs a real experience underneath it.

That matters in a hiring process where both sides are using more AI. In research released in January 2026, 93% of recruiters surveyed by LinkedIn said they planned to increase their use of AI that year. That’s a statement of intent, not evidence that every resume gets an automated verdict. It does mean the person reading your application may be working with AI too. LinkedIn’s 2026 hiring research

Here’s how to use the help without accidentally applying as your imaginary, much more senior cousin.

Start with the messy, true version

Before you ask a tool to write a bullet, give it something worth writing about. A job title and “make this impressive” leave a lot of room for creative interpretation.

Write down what you actually did. Who needed it? What was difficult? What did you personally handle? What changed afterward? Use the words you’d use explaining it to a colleague over coffee.

For example, imagine someone who coordinated new customer onboarding. Their notes might be:

  • Sales kept handing us accounts without the setup details.

  • I made a checklist and got sales and support to use it.

  • I checked the handoff for every new account.

  • We stopped having to chase people for the same missing information.

  • I don’t have a reliable number for the time saved.

There’s useful experience here: recognizing a recurring problem, coordinating across teams, and improving a process. There’s also an honest boundary. No measured time savings means no surprise “40% efficiency improvement” appearing in the next draft.

Trade impressive-sounding language for useful detail

Here are three versions of that fictional example.

Too vague: “Responsible for customer onboarding.”

Too inflated: “Spearheaded a transformational onboarding strategy that increased operational efficiency by 40%.”

Clearer, if the notes above are accurate: “Created an onboarding checklist used by sales and support, making sure each new account arrived with the setup information the support team needed.”

The third version gives someone something to ask about. What was on the checklist? How did you get people to use it? Did it stick?

If you can answer those questions, you have the beginning of an interview story. If you can’t, the sentence needs another pass.

Tailor the emphasis to the job

Read the job description and identify the few things the person will need to do well. Then look for evidence that you’ve done those things, or something meaningfully similar.

An operations role might make that onboarding example especially relevant. A customer support role might call for your experience resolving difficult issues first. Both can be honest versions of the same work history.

Use the employer’s terminology when it accurately describes your experience. If the posting calls it “customer onboarding” and your company called it “new account setup,” you can make that connection explicit. A tool you have never used stays a tool you have never used, however many times it appears in the job description.

If you want the broader structure first, our resume guide walks through what belongs in each section.

Give the AI a job with boundaries

Try a prompt like this:

Rewrite these notes into two concise resume bullets for the role below. Use only the facts I provide. Preserve my level of responsibility. Do not add numbers, tools, qualifications, or outcomes. If a detail would make the bullet stronger, ask me for it. Explain which requirement each bullet supports.

Then read the answer like an editor. The instruction helps; it doesn’t replace checking the output.

A useful second prompt is: “Identify every claim in these bullets that my original notes don’t support.” You still need to do your own comparison, but asking the question makes the task more specific than “is this good?”

Check the employer’s application instructions, too. Follow any rules about AI assistance, especially for assessments and work samples. And remove confidential customer details or internal company information before putting work examples into an outside tool.

Check the verbs, numbers, and missing context

The errors that matter aren’t always dramatic. Sometimes “supported” quietly becomes “led.” Or work completed by a five-person team becomes something you apparently did alone between meetings.

Before submitting, check:

  • Ownership: Did you lead it, contribute to it, coordinate it, or use it?

  • Numbers: Can you explain where each number came from? If a number is an estimate, be able to explain how you calculated it—and don’t present it as exact.

  • Tools and skills: Could you discuss your actual experience with everything listed?

  • Scope: Does the bullet make the team, customer base, or project sound bigger than it was?

  • Voice: Would you recognize this as your own description of your work?

Clear, ordinary language is allowed. “Built,” “organized,” “resolved,” and “improved” have survived this long for a reason.

Read it out loud before someone asks you about it

Pick three bullets and explain each one without looking at the page. Give the situation, your contribution, and the result. Include what you learned or would change if that’s relevant.

If the explanation sounds much more believable than the written version, borrow your own words. You’ve just found a better draft.

Keep the version you submitted attached to that application. Preparing from a newer resume can leave you guessing which examples the interviewer has in front of them. Hey Vitae’s resume tailoring and application workspace are built around keeping your real experience connected to the role you’re pursuing.

For your next application, try this: choose three relevant accomplishments, check every claim, and practice explaining them. The reader should come away understanding what you did and why it matters. You can retire the stakeholder ecosystem.


Keep the resume you submitted with the application, along with the job description and the examples you plan to discuss. Hey Vitae keeps those pieces together so you’re preparing for the version the interviewer actually has.

The bottom line

A tracker records your search.
This is the system that runs it.