Tailored Resume is a free-to-try web app that updates your resume for a specific job: paste the job posting and your current resume, and it returns a role-tailored resume plus a matching cover letter, exported as PDF, editable Word (.docx), Markdown, or ATS-safe plain text. Every rewritten line is traced to a line in your own file — requirements your resume doesn’t support are listed, never invented. Guest runs are free, no sign-up needed. Prefer to do it by hand? The method is written up, with sources, in the tailoring guide.
Nothing to hand? — a real job posting plus a sample resume for a fictional candidate, Lena Vasquez.
Paste the job and your resume
Files and links import automatically — PDF and .docx text is extracted for you.
The AI rewrites, never invents
Each claim traces back to a company and year in your own file. Requirements with no match are listed, not fabricated — then turned into questions, so what you forgot to write down can still count.
Polish it, then export
Six typographic templates, editable in place. Rewrite any line or the whole document, add a matching cover letter, and download PDF or Word — plus ATS keywords, gap analysis and interview prep.
Why tailor your resume for each job?
Sending the same resume to every job hides your best evidence. Each posting emphasizes different requirements in different words, and both recruiters and ATS filters scan for the posting’s own terms — so relevant experience that is worded differently, or buried under less relevant bullets, simply doesn’t register.
Tailoring by hand means reworking the summary, bullets, and keywords for every single application. Having a generic AI rewrite it is faster but creates a worse problem: language models are documented to produce content not grounded in their input (Ji et al., ACM Computing Surveys 2023) — applied to a resume, that means acquiring skills and numbers you never had, and a fabricated claim can cost you the job in the interview or after a background check.
Tailoring a resume does not mean writing a new one. It means changing the emphasis, wording, ordering, and selection of your existing experience so the qualifications this particular role cares about are easy to see — without adding anything your history doesn’t support. That is the specific job this app does; the method itself, with sources, is written up app-free in the tailoring guide.
What changes when you tailor a resume?
- The summary is rewritten to lead with the experience this role asks for.
- Bullet wording shifts to the posting’s terminology where your experience genuinely matches it.
- Emphasis and ordering change: the accomplishments most relevant to this role move up; less relevant ones shrink or drop.
- Skills are regrouped so the posting’s must-haves are visible at a glance.
- Keywords from the posting appear where true, and a report shows which were matched and which were not.
What does not change: the facts. No new employers, dates, titles, numbers, or skills are added — requirements your history doesn’t support are listed openly instead.
How do I tailor a resume to a job posting?
The method is the same whether you do it by hand or let the app do the mechanical parts:
- Separate must-haves from nice-to-haves. Read the posting and list the requirements it repeats or puts first — those drive the screen. The app extracts this list for you and reports it in the briefing.
- Match each requirement to real evidence. For every must-have, find the strongest accomplishment in your history that demonstrates it, and lead with that. The app does this matching line by line and shows you which source line backs each claim.
- Mirror the posting’s keywords — only where true. ATS filters and recruiters scan for the posting’s own terms. Use them verbatim where your experience genuinely supports them; the app’s keyword report shows which terms it matched and which it could not.
- Leave unsupported requirements out. Never add a claim you couldn’t defend in an interview. The app lists unmet requirements openly instead of writing them in — then asks you targeted questions, because often you have the experience and just never wrote it down.
- Review every line before you send. Read the final document against your real history. In the app, every line is editable in place and every claim shows its source, so this check takes minutes.
How does claim tracing work?
Each rewritten line in the output is paired with the exact lines of your uploaded resume it came from — company, role and year — and you can inspect every pairing before exporting.
Job requirements with no match in your file are not written into the resume. They appear in a separate list with the reason, and the app turns them into short questions; only what your answers genuinely support gets added, with the new trace shown.
You can see a full worked example without signing in: press Load an example above to view a real job posting, a sample resume, and the complete traced output it produces.
What does a traced rewrite actually look like?
From the app’s built-in example — a real posting (Research Engineer, Interpretability at Anthropic, via its public Greenhouse listing) and a sample resume for a fictional platform engineer, Lena Vasquez. One requirement the resume supports:
The posting asks for: “Profiling and optimizing ML training jobs, including multi-GPU parallelism and memory optimization.”
Evidence in the resume: “Profiled a distributed training job and fixed a host-memory bottleneck, cutting step time 22%.”
In the tailored resume: that bullet moves up under a headline rewritten to “Distributed Systems & GPU Infrastructure”, and its trace reads source: Stripe, 2022 – Present — the company and years it came from, shown next to the line.
Left out, with the reason: “Hands-on PyTorch/CUDA on GPUs or JAX/XLA on TPUs” is never written in — the background covers GPU cluster operations and training-job profiling but documents no PyTorch, CUDA, JAX, XLA, or TPU development, so it appears in the unmet-requirements list instead, and the gap analysis suggests how to close or honestly reframe it.
Press Load an example above to see this entire run — every traced bullet, the unmet list, keywords, gap analysis, and the cover letter — free, with no account.
How does the ATS keyword matching work?
An applicant tracking system (ATS) is the software most employers use to store and filter applications. Recruiters search it for the posting’s own terms, so a resume that describes the right experience in different words can be filtered out before a human reads it.
The app extracts the posting’s key terms and uses them verbatim only where your experience genuinely supports them — then reports both lists: keywords it matched and keywords it could not. Stuffing unmatched keywords in anyway is counterproductive: it fails the first interview question about them, and modern screening reads context, not just word counts.
Formatting is handled conservatively: the Word (.docx) and plain-text exports are single-column so ATS parsers read the content in order, and the plain-text copy exists for application forms that mangle an uploaded PDF.
What does Tailored Resume cost?
Trying it is free: guest runs are sponsored and need no account or card. Signed-in use is pay-per-run in SkillSafe credits — there is no subscription.
Before you run, the meter next to the Tailor it button shows the worst-case price for your exact input and chosen AI model, so the cost is never a surprise. Reopening a past result from history is free.
What happens to my resume and my data?
Your job posting and resume are sent to SkillSafe’s API (api.skillsafe.ai) to generate the rewrite; they are not published anywhere, and this page loads no third-party scripts or ad trackers.
Results and history are stored in your own browser by default. If you sign in, history additionally syncs to your SkillSafe account so it follows you across devices; deleting a run in the History panel removes it from the server too, and deletes can be undone right after.
What are the limits?
- It rewrites what your history supports — it will not paper over a thin or mismatched background. Gaps are surfaced honestly, in the unmet-requirements list and the gap analysis, rather than hidden.
- No tool can guarantee interviews or a specific ATS score, and this one doesn’t claim to. What it controls, it does conservatively — see how the ATS keyword matching works.
- Inputs it accepts: pasted text, PDF, .docx, .txt, .md and HTML files, or a link to the posting. Very long documents are truncated rather than rejected, and the app tells you when that happens.
- The output is a draft with receipts, not a submission. Read it line by line before you apply — every line is editable in place and carries into the PDF and Word exports.