The short version
- AI is good at structure, phrasing and matching vocabulary. It has no idea what you actually did.
- Given a gap, a language model fills it with something plausible — usually a number. That is the risk.
- Ground it: give it your real achievements, and check every claim it returns against them.
- Review changes one at a time. Never accept a rewritten resume wholesale.
Where AI genuinely helps
- Tightening a rambling bullet to one or two lines without losing the result.
- Matching vocabulary — noticing that the posting says “stakeholder management” where you wrote “working with other teams”.
- Reordering — suggesting which of your achievements matter most for a given job.
- A first draft of a summary from achievements you supply.
Three ways it quietly makes resumes worse
1. It invents numbers
A language model writes the most plausible next words. When a bullet has no number and you ask for something more impressive, the most plausible continuation includes one. It will not tell you it made it up.
Before
Responsible for the onboarding flow and its help content.
After
Spearheaded a transformative onboarding overhaul that boosted activation by 47% and drove $2M in new revenue.
2. It flattens your voice
Unguided, AI rewrites converge on the same vocabulary — “spearheaded”, “leveraged”, “transformative”. A page of it reads like every other page of it, which is the opposite of what a resume is for.
3. It over-tailors
Ask a model to fit your resume to a job and it will echo the posting back — sometimes adding skills you never mentioned, because the posting did. That gets you past a keyword search and into an interview about something you have not done.
How to use it safely
- Give it facts, not a vibe. Paste your real achievements, with their real numbers, and tell it to use only those.
- Ask for small changes. “Tighten this bullet” is safe; “rewrite my resume” is not.
- Check every claim it returns. Every number, title, employer and date must match something you gave it.
- Review one change at a time, and keep the version you started from.
A checklist before you send
- Could I talk about every bullet for two minutes, with an example?
- Can I explain where every number came from?
- Is every skill on the page one I have actually used?
- Does it still sound like me?
How AI-Resume does it
We built AI-Resume around exactly these rules, in code rather than good intentions. Tailoring reorders your resume and adds lines from your own career profile before any model writes a word. When a model does write — a summary, a reworded bullet — it is given only the facts it may use, and every claim in its output is checked against them; anything that does not trace back is flagged for you instead of being added. Every change arrives as a proposal you can read and reject.
The score that tells you how you are doing is not AI at all: it is 26 deterministic checks, so the same resume always gets the same number. More on why on our about page.
Questions
Can recruiters tell if a resume was written by AI?
They often notice the symptoms rather than the tool: the same inflated verbs, suspiciously round percentages, and bullets that could describe anyone. A resume in your own words, with numbers you can explain, reads differently — whoever helped you write it.
Is it okay to use ChatGPT for my resume?
Yes, for help with wording and structure — as long as every fact comes from you and you check what it returns. Do not ask it to “make my resume more impressive”; that instruction is how invented achievements get in.