AI resume tailoring without making up your experience.
ApplyStorm rewrites your résumé for each job from the experience you actually have. The posting decides what to bring forward. Your own material decides what may be said — and every claim is checked against it before you see the result.
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Optimising for the posting is how résumés get invented.
Paste a job description into a general-purpose AI and ask it to tailor your résumé, and it will do exactly that: it optimises the text toward the posting. The posting mentions Kubernetes, so a line about Kubernetes appears. The posting wants “ten years leading regulated platforms”, so your seven become ten and “regulated” attaches itself to a role that was not.
Each line reads well. Each one is also a claim you now have to defend in an interview, in front of someone who has the posting open and is asking about the thing you never did.
The job guides relevance. Your experience is the evidence.
Two inputs, two jobs. The posting is read for what matters to this employer — the responsibilities, the vocabulary, the keywords. It is never read as a fact about you.
What guides relevance
- The posting’s responsibilities and requirements
- The words the employer uses for the work
- The keywords extracted from the description
- Your own scoring reasons and concerns for this job
What counts as evidence
- Your uploaded résumé
- Your profile — roles, skills, achievements, headline
- Your Win Library of verified achievements
- Nothing else
What is never evidence
- The job description
- The employer’s website or industry
- What a role with that title “usually” involves
- What would make the résumé score better
Every check, by name, on the page.
This is the quality panel on the tailored résumé itself, not a summary of it. The gate runs on every résumé ApplyStorm writes; the checks that can fail the document are hard rules, and a failure names what was found.
What changes, what is allowed, what is refused.
What gets tailored
- Which bullets lead each role — the strongest for this job go first
- How each bullet is angled toward the posting’s responsibilities
- The summary and headline, built from fragments already in your material
- The skills section, limited to what your material shows
What is allowed
- Reframing, reordering and selecting among your own bullets
- The posting’s own phrasing, where it is true of you
- A keyword from the posting, when it maps to a real achievement
- Every role and every bullet kept — re-angled, not dropped
What is refused
- A technology, employer, title, credential or industry your material does not support
- A number that is not in your material — team size, revenue, percentage, years
- A certification you have not earned, or “preparing for” one you are not
- A tool placed under a role that ended before the tool existed
- A headline that echoes the posting’s title with nothing behind it
How keywords are handled
The keywords extracted from the job description are offered to the writer with one instruction: include a keyword only where your material supports it. A skill the posting names and your résumé never shows stays out, even if the keyword list names it.
Where a keyword is true of you, it is worked into the bullet that proves it, in the employer’s own wording. A check then compares how often each keyword appears with how often your original résumé uses it. A keyword repeated more than four times as often as you use it yourself is stuffing and fails the document; one that is underweight or absent is reported in the check’s result, never treated as a failure — because the honest answer to a keyword you cannot support is to leave it out.
Your name, e-mail and phone are not the model’s to write
The contact header is written by code from your profile, character for character, and a deterministic check confirms every e-mail, phone number and profile link in the output is yours. Models rewrite these — an address built from your name, a placeholder phone — and a recruiter who replies to that reaches nobody.
What you receive
- A tailored résumé for each application, with its check results on the same page — every check named, pass or fail, and what it found.
- An editor to change anything before it goes anywhere, and the résumé as PDF and Word.
- A cover letter for the posting, written from the same material and editable in place. It is checked for shape — three paragraphs, a sensible length — rather than through the résumé’s checks, so read it as you would your own draft.
- On the free tier, 5 tailored résumés a month; on Pro, up to 100.
- Will an AI résumé tailoring tool make up experience?
- A general-purpose model asked to tailor a résumé to a posting will optimise toward the posting, and that is where invented tools, inflated years and borrowed titles come from. ApplyStorm gives the model your material as the only thing it may say, treats the job description as guidance rather than evidence, and checks the result: a technology, employer, title, credential, industry or number your material does not support fails the résumé outright, whatever else is right about it.
- How does ApplyStorm tailor a résumé to a job description?
- The posting is read for its responsibilities, its vocabulary and its keywords. Your résumé is rewritten against that: bullets are re-angled toward the responsibilities, the strongest bullets for this job lead each role, and the posting’s own wording is used where it is true of you. Every role and every bullet is kept, and the length stays close to your original. Then the quality gate runs, and its result is shown on the résumé.
- Does it add keywords from the job description?
- Only where your material supports them. A keyword that maps to a real achievement is worked into the bullet that proves it; one that does not stays out. A check then compares how often each keyword appears with how often your original résumé uses it, and fails the document if one is repeated more than four times as often as you use it yourself. Underweight or absent keywords are reported in the result, not treated as a failure.
- Does it promise the résumé will pass an applicant tracking system?
- No. ApplyStorm measures none of that and promises no score, ranking or interview. What it does is keep the document readable and honest: your headings and bullet structure are preserved, the posting’s terms appear where they are true of you, the length stays close to your original, and the file is rendered to PDF and Word.
- What happens when a résumé fails the check?
- It is held for you. The page shows which checks failed and what each found — the unsupported phrase, the number that is not in your material — and you can edit the résumé or confirm, in so many words, that you have reviewed it and want to send it as written. Nothing is sent, and nothing is handed to your browser to fill, until you have.
- Is the cover letter checked the same way?
- No. The cover letter is written from the same material as the résumé and validated for shape — three paragraphs within a sensible length — but it does not go through the résumé’s checks. Read it as you would your own draft; it is editable in place.
Start with the résumé you already have.
Upload it, set your targets, and each strong match gets its own tailored version — checked, editable, and yours to send.
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