I use AI to improve a resume as an editor and thinking partner, not as a source of invented experience. I remain responsible for every claim, date, number, and skill on the page.
I give it accurate source material
I start with my real notes, previous resume, target description, and examples of work. I remove sensitive or confidential information before using any external tool and check the tool’s privacy settings.
I ask for diagnosis before rewriting
I may ask which parts are vague, where evidence is missing, or which job requirements are not addressed. This produces more useful feedback than “make my resume better.”
I generate options, not a final truth
I request several bullet structures or summary versions, then choose and rewrite them in my own language. AI often produces polished but generic claims, so I add the actual context and remove inflated wording.
I verify every detail
I check tools, metrics, job titles, chronology, and terminology. If the draft adds a number or responsibility I did not provide, I delete it. Plausible is not the same as true.
I test whether I can explain it aloud
If I would not naturally use a phrase in an interview, I simplify it. The resume should sound like the professional version of me, not an anonymous corporate template.
A prompt structure I use
“Using only the facts below, identify three places where my bullet points lack action, scope, or result. Do not invent metrics or responsibilities. Ask me questions where evidence is missing.”
AI helps me see alternatives and edit faster. It does not replace reflection, factual accuracy, or my decision about what represents my work.