How to tailor your résumé to a job description (with AI, honestly)
A step-by-step method for tailoring your résumé to each job posting, how AI can speed it up, and the checks that keep every line true.
A résumé tailored to the job in front of the reader is easier to say yes to. Tailoring does not mean rewriting your history: it means choosing and ordering what is true so the most relevant parts come first.
Step 1: Read the posting for signals
Go through the job description and mark:
- Must-have skills — often listed under requirements.
- Repeated words — if "experimentation" appears three times, it matters.
- The problem the team solves — a line in the summary often says it.
Step 2: Match your evidence to each signal
For each must-have, find the strongest true example from your experience or projects. If you have no evidence for one, do not invent it; note it as a gap to learn or to address in a cover letter.
Step 3: Reorder and rephrase
- Move the most relevant project or role to the top of its section.
- Put the skills the posting emphasises first in your skills list.
- Where the posting's wording truthfully describes your work, use it: "built a classification model" can become "built a machine learning classifier" if that is what it was.
- Lead each bullet with an action and, where you have one, a real result.
Step 4: Check every change
Before you send it, compare the tailored version with your original, line by line:
| Check | Question to ask |
|---|---|
| Ownership | Did I do this, or did my team? |
| Scope | Has "contributed to" quietly become "led"? |
| Numbers | Is every figure one I can back up? |
| Tools | Did I actually use each tool listed? |
Where AI helps
AI is good at the slow parts: spotting which skills a posting emphasises, suggesting a clearer order, and drafting a cover letter to edit. It should never be trusted to decide what is true about you.
SchoolWhool's AI job agent works this way. It reviews how a role fits your profile, suggests résumé edits one at a time for you to accept or reject, and drafts a cover letter — and your original résumé is always kept. Read more on reviewing AI résumé edits.