You've done more than your resume shows.

For any job you actually want, yes. A generic resume asks the reader to work out for themselves why you fit, and most readers give it a few seconds before deciding not to.

Tailoring is mostly selection and language rather than rewriting: choosing which of your real achievements to lead with, and describing them in the vocabulary this employer uses. The reason people skip it is that doing it by hand takes 30 to 45 minutes per application, which is exactly the part JobShifu compresses.

A few minutes, and most of that is you reading. JobShifu produces the proposed changes in one pass, then the time is spent on the review: each change is a card showing the original line, the proposal, and the confirmed experience behind it.

That review is deliberately not skippable, because a resume you never read is a resume you cannot defend.

Five kinds. Keep a line as it is. Modify a line to speak the job's language. Remove a line that is not earning its space for this role. Add a line built from confirmed experience your current resume left out. Combine two lines into one stronger one.

Every proposal except keep and remove names the Vault entries it draws from, and proposals citing anything unconfirmed are dropped before you see them.

Readiness is a 0 to 100 score for how well this particular resume version answers this particular job, shown as Ready, Getting there, or Needs work (distinct from the Job Fit score). It moves as you accept and reject changes, so you can see the effect of your own editing rather than being handed a number at the end.

It is a measure of the document, not of you. The separate Job Fit score measures whether the job is worth applying to in the first place.

It can add a recruiter-facing functional title, but never in place of your real one. If your official title was Technical Specialist III and the work was backend engineering, the resume renders "Backend Engineer (Technical Specialist III)." The real title is always beside it.

This is enforced at the point every export shares, so it holds for PDF, DOCX and Markdown alike, and the suggestions are deterministic rather than model-generated. A title reading above your Vault seniority raises a warning.

No. It shows you which of the job's requirements your experience already covers and which it does not, then proposes language drawn from your real work. The ATS rejection story traces to a 2012 sales pitch, and this is what is worth checking instead.

A keyword you cannot back up is a keyword that gets you into an interview you then fail, which is a worse outcome than not getting the interview. Where you genuinely lack something, JobShifu shows it as a gap rather than papering over it.

Generic writing is what reads as machine written, and that is the part JobShifu removes. Every proposal starts from an entry you confirmed in your Vault and carries the source line behind it, so the sentences describe work you actually did rather than the job title.

The review pass marks wording that reads as generated before you export, and you can put it in your own words on the card.

Anthropic's Claude. The tailoring pass runs on Anthropic's top Claude model, and lighter work like reading a posting into structured fields goes to a smaller one, because size buys nothing on that task. Naming the vendor means you can check what is doing the writing. The same loop run by hand in a Claude chat window is written up in full, including the two places it breaks.

The model is not the safeguard here. A proposed line has to cite an entry you confirmed in your Vault before it can reach a document, so a wrong guess stops at the check instead of landing in your PDF. A better model writes better sentences. The check is what decides whether they ship.

Yes, in function. The Vault is one store of everything you have done, and each tailored resume is cut from it for a single posting, so you are not keeping a folder of near-identical files up to date by hand.

Two things make it different from a master resume document. Every entry carries the source it came from, which is what lets an export cite its evidence. And the Vault grows on its own: when a review confirms a skill you had not recorded, it is added, so the store gets more complete as you apply.