You upload one master resume during onboarding. Every job you track after that gets its own tailored version. The AI rewrites your bullets to match the phrasing the posting uses. React, Next.js, TypeScript in the posting means React, Next.js, TypeScript in your resume, in the same order.
4 steps. Each one runs in seconds. Scroll in order.
Onboarding asks for your full work history as one document. The AI also grades the master so you fix the foundation before any tailoring runs.
The parser extracts skills, keywords, and experience level. Those fields feed the tailor prompt so the rewrite is grounded in the exact posting.
The AI produces plain-text (ATS-safe) plus an HTML version for display. Every required skill from the JD either appears in your resume because it was already true, or is flagged as a gap.
Each regeneration costs one tailor credit. Pro accounts have unlimited. Each version is saved so you can compare two rewrites of the same job.
One real example, same input reshaped two ways.
Worked on the web team building features in JavaScript frameworks. Shipped UI and worked with product and designers on various projects.
Partnered with product and design to ship 14 React and Next.js components into production, writing Jest unit tests and Playwright integration tests alongside each release. Held the team to a Core Web Vitals LCP budget of 2.5s.
The mechanics nobody should have to guess at.
Tailoring is where model quality shows up. Pro accounts run on a stronger model for noticeably sharper output. Free accounts get three tailors per month on a faster, lighter model.
The system prompt is explicit: reshape and reframe what is already in the master resume. Never invent experience. Never add skills that are not in the master. If the JD asks for Kafka and the master does not mention Kafka, the output does not say Kafka.
No tables, no columns, no graphics, no header-or-footer placement for contact info, left-aligned, standard section names (Experience, Education, Skills). Every common ATS (Workday, Greenhouse, Lever, Ashby, iCIMS, Taleo) parses the output cleanly.
After the model returns, we check that every key_skill from the parsed JD is either present in the output or logged as a gap. The gap list is what powers keyword-match breakdown and rejection analysis downstream.
Honest limits read as trust signals. Hiding them does the opposite.
No. The system is built around that guardrail. The prompt forbids adding skills that are not in your master resume, and the validation pass flags any mismatch. You get a list of real gaps, not a padded resume.
Around 10 to 15 seconds on the Pro model, closer to 7 seconds on the Free model. We show a live status message during generation so you know it is still running.
Yes. Each regeneration saves a new version so you can compare them side by side. Free accounts have three tailors per month total. Pro accounts have unlimited.
The output is plain text plus styled HTML for display. Pro accounts get .docx and PDF export. Free accounts can copy the plain-text version for manual paste into any resume template.
Yes. Resume builders give you a template and let you type in your history. This tailors a resume you already have to a specific job description, bullet by bullet. The master resume is the input, the tailored version is the output.
Matched and missing keywords named exactly. No opaque score, no black-box percent.
Mark a job as denied. Get an AI read on the likely gap, what the resume missed, and what to do differently next time.
Drop a raw job posting. Get structured company, role, skills, and ATS keywords back in under two seconds.
Create a free account in under a minute. First job tracked, first tailored resume, and first keyword breakdown all happen inside the onboarding flow.