AI Resume Builder
Summary, experience bullets, skills and a list of what to cut — written with “[number]” where a real figure belongs, because an invented one is found out in the interview.
The AI Resume Builder writes resume bullet points from a role and an achievement, in the tone and length you need, ready to paste into your CV. The output is text, so you keep your own layout, and each bullet should carry a number where you have one.
How it works
Describe your experience
Add the role you want, your years and your strongest results.
Pick the target
Choose the job you are applying for and the tone.
Copy the sections
Paste them into your CV template.
Seven seconds, then seven minutes
A resume is read by software looking for keywords and by a person looking for evidence. Both want the same thing in different forms: proof that you have done this job before. Duties describe the job; results describe you.
- check_circleThe job posting, with repeated phrases underlined
- check_circleThree roles and what changed in each
- check_circleAny figure you can defend in an interview
- check_circleA list of tools you actually use
Resume questions
Will a generated resume pass the filters?expand_more
Should I use a designed template?expand_more
How do I write a bullet with no numbers?expand_more
Is one page really enough?expand_more
Duties describe the job, results describe you
A resume is read twice: once by software that looks for keywords, and once by a person who spends about seven seconds deciding whether to spend seven minutes. Both readers want the same thing in different forms — evidence that the applicant has done this job before — and most resumes fail because they describe duties instead of results. “Responsible for stock” tells a reader nothing. “Cut stock waste by [figure] by counting deliveries at the door” tells them how you think.
Bullets that survive the seven seconds
The shape that works is verb, action, change. Start with a verb in the past tense, say what you did, and say what changed as a result. The change is where most people freeze, because they cannot remember a number. The honest solution is to write the bullet without one and mark it: “[figure]”. A placeholder is a reminder to look it up; an invented percentage is a lie that will be found out in the interview.
Three bullets per role is usually right. The first describes the core of the job, the second something you improved, the third something you handled that was not in the job description — because that third bullet is where promotions come from.
The summary at the top is not an objective
“Seeking a challenging role in a dynamic company” is about the applicant. A summary should be about the evidence: what you have done, for how long, and what you are moving towards. Two sentences, no adjectives, no passion. A recruiter reading fifty of these will remember the one that states a fact.
If you are changing fields, the summary is where the translation happens: name the experience that transfers and the reason it transfers. That sentence does more work than any cover letter.
Keywords are for the software, not for stuffing
Most applications are filtered before a human sees them, and the filter matches the words in the job description. The fix is not to repeat every noun in a hidden block; it is to use the employer's vocabulary where it is honest. If they say “inventory management” and you say “stock control”, write both once — in the summary and in one bullet.
Read the posting with a pen and underline the six phrases that appear twice. Those are the words the filter weighs, and they should appear naturally in your document.
What to cut, without mercy
Any line older than ten years, unless it is the only evidence of a skill you still need. Any hobby that does not connect to the job. Any soft-skill list — “team player, hard working” — because every applicant claims both and the claim therefore carries no information. Any photo, marital status or date of birth unless the country's convention requires it, and in most of Europe it does not.
Two pages is a maximum, not a target. One page with eight strong bullets beats two pages of responsibilities, and a reader who reaches page two has already decided.
Formatting that survives
Single column, standard headings, no tables, no text boxes, no column layouts. Applicant tracking systems read in a straight line, and a two-column design is read as gibberish — which is why a beautiful template can be the reason nobody replies. Save as PDF unless the posting asks for a document file, and name it with your own name rather than “resume-final-3”.
Then read it once on a phone. A large share of first reads happen on a screen the size of a hand, and a layout that only works on a laptop is a layout that gets skipped.
The interview test for every bullet
Read each bullet and ask whether you could talk about it for two minutes if an interviewer pointed at it. If the answer is no, the bullet is either padding or something you did not do; both are worse than a shorter resume. This test also fixes the most common weakness in generated bullets: they describe a responsibility that sounds right for the role but has no story behind it. Keep the eight bullets you can defend, delete the rest, and the document becomes both shorter and considerably stronger.
Tailoring without rewriting
You do not need a new resume for every posting; you need one document with a summary you can swap and three bullets you can reorder. Keep the rest stable so you know what is being read, and change the first two lines to match the language of the posting. That is ten minutes of work per application, which is sustainable, and it is the difference between a document that mentions the role and one that answers it.
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fact_checkQuick facts
- A resume line is strongest as action, scope and result; adjectives without a number are invisible to a recruiter.
- One page is the usual limit for under ten years of experience, which means about six bullets per role is already a lot.
- A language model reads text in tokens, and one token is roughly four characters of English, so a 300-word answer is about 400 tokens.menu_bookOpenAI Cookbook
- The output depends on the prompt: the same request with a different tone or length instruction produces a different text, not a different answer quality.menu_bookOpenAI Cookbook
helpQuestions people ask
How do I write a resume bullet point?expand_more
How long should a resume be?expand_more
Should I use AI to write my resume?expand_more
hubWhat this page is about
- Large language modelopen_in_new
A model that predicts the next token of a text; the site sends the prompt to a hosted model and returns its answer.
library_booksOfficial sources cited on this page
- How to count tokens with tiktokenOpenAI Cookbook
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Switched-off tools are not listed here: only what works right now.