Tailor your
resume.
Keep your voice.
Two-pass engine. Rewrites to the job, restores your voice. Voice fingerprinting. A signed Honesty Receipt on every output — check a real one. Built for the era when the first reader is an agent.
Paste. Run. Send.
Paste the job
URL or raw text. Scrapes and structures automatically. Or paste a company shortcut like @stripe to browse open roles.
Engine runs twice
First pass: fit the role. Second pass: restore your voice. Same output, your register. Streaming, so you watch it shape.
Download and send
PDF in seconds. Provenance shown for every line. A signed Honesty Receipt you can share — proof of authorship in the agent era.
Know what's yours.
Prove it.
Every tailored resume ships with a diff. Verbatim words, paraphrased phrases, added context — highlighted separately. Then signed with ed25519 so anyone can check the breakdown at a public URL. Here is one, signed at request time and checked against the published key.
The longer you use it, the cleaner the receipt gets. Every accepted bridge becomes part of your master donor — verbatim next time, not “added.”
It rewrites to the job.
Not away from you.
Set your register once. Every tailor runs through a voice-check pass before delivery. The result sounds like your best writing, not a generated cover letter.
Yours is measured from your own writing.
The first reader is
increasingly not a person.
LinkedIn sees 11,000 applications a minute1. Greenhouse’s 2025 hiring report: 91% of recruiters caught candidate deception2; SHRM: 19% of organizations say their screening systems rejected qualified candidates3. Ashby (Sept 2025) and Greenhouse (May 2026) both shipped dedicated fraud-detection layers4. Keyword stuffers get flagged. Voice-flat copy reads as generated. The applicant who proves authorship and keeps their register is the one who reaches the human.
1 LinkedIn / eWeek, mid-2025 (eweek.com). 2 Greenhouse 2025 AI in Hiring Report (greenhouse.com). 3 SHRM 2025 Talent Trends (shrm.org). 4 Ashby (ashbyhq.com) + Greenhouse (greenhouse.com).
- · Leveraged cutting-edge AI/ML to drive transformative cross-functional impact at scale
- · Spearheaded mission-critical agile initiatives, unlocking 10x operational synergies
- · Drove paradigm-shifting strategic outcomes through best-in-class methodologies
- · Architected the monitoring system for a $600M+ regulatory file exchange network
- · Reduced manual monitoring by 78% via automated anomaly detection pipeline
- · Resolved a 20,000+ account logic failure independently with an investigative SQL framework