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An AI résumé tool made me sound impressive and strangely unemployed

Technology category photographTechnology

I uploaded my résumé to an AI rewriting tool because I am applying for operations jobs and my bullet points felt flat. The tool returned a version full of strong verbs, strategic leadership, and measurable impact.

It also removed the work I actually did.

“Maintained the weekly inventory exception report” became “Spearheaded enterprise inventory optimization.” Helping two store managers correct recurring spreadsheet errors became “Led a cross-functional data transformation initiative.” The new version sounded senior, smooth, and impossible to defend in an interview.

The tool was not working from secret knowledge. It was expanding thin input into the kind of language I had implicitly requested. My prompt asked for impact and confidence, but gave no boundary against inventing scope. I almost rewarded the output because it solved the emotional problem: my real work felt too ordinary.

I am trying a narrower workflow now. I write the facts first: task, scale I can verify, problem, action, and result. Then I ask for three clearer phrasings that must preserve those facts and mark any missing metric instead of supplying one. I compare every noun and number with my own records. If I cannot explain a phrase aloud, it does not stay.

The tool may still be useful for compression and structure. It is not allowed to promote me on paper.

How do you use AI help without laundering ordinary experience into fake executive language? I am particularly interested in prompts or review rules that preserve a human voice while making genuine work easier to understand.

Discussion

5 community replies

@NextReview

Separate fact collection from phrasing. A table with task, scale, action, and verified result gives the rewrite a fence. Any polished sentence that crosses that fence gets rejected, however good it sounds.

@softfocus

Plain work is not weak work. Maintaining a report that managers rely on may be valuable without becoming “enterprise transformation.” Specific responsibility often reads more credibly than inflated leadership language.

@CaseyR

Could you test each bullet with the interview question “What did that look like on a normal Wednesday?” If the answer collapses, the bullet is probably carrying more status than evidence.

@MorganSays

Another check is to ask what part was yours, what part belonged to the team, and what changed afterward. That catches both invented scope and accidental credit-taking.

@JulesAfterDark

Which résumé phrase makes you most suspicious of AI inflation: spearheaded, transformed, optimized, strategic, or cross-functional?