When to use it

Use this prompt when you update your resume for a new application, or when you notice that your bullets read like a job description (“responsible for”, “helped with”). Recruiters skim, and they look for evidence of impact. The prompt is also helpful after a promotion or a big project, while the details are still fresh enough for you to answer its follow-up questions.

How to customize it

  • [JOB TITLE] focuses the rewrite on the skills that matter for the role you want, not the one you have.
  • [INDUSTRY] helps the model choose the right vocabulary. “Pipeline” means different things in sales and in data engineering.
  • [SENIORITY] changes the emphasis: junior roles reward execution, senior roles reward scope, influence and decisions.
  • [PASTE BULLETS] can be rough notes. One bullet per line makes the output easy to compare against the original.

Why it works

STAR is a familiar structure in hiring because it moves from context to action to outcome, which is exactly what a reader needs to judge your contribution. Compressing it into one line keeps bullets scannable.

The placeholder rule matters most. A model asked to “add metrics” will often supply believable but invented numbers. That is a form of hallucination, and on a resume it becomes a claim you may have to defend in an interview. Placeholders keep the structure while leaving the facts to you. The follow-up question for each bullet turns the exercise into a short self-interview, which is often where the best material comes from.

Tips and variations

  • Keep a private “brag document” during the year with results and numbers, so the next update takes minutes instead of hours.
  • Run the prompt twice: once with your bullets, then again after you have filled in the placeholders.
  • Add “Use keywords from this job ad” and paste the ad, so the bullets match the language applicant tracking systems scan for, but keep each claim true.
  • Ask for a version under 18 words per bullet if your resume is running over one or two pages.
  • The article on preparing for an AI or ML job interview shows how the same STAR stories can be reused in interviews.