Live examples

Three real generations

Job description in, tailored resume and cover letter out. This is real output from the workbench below — sign up to run it on your own resume.

Teal = backed by your resume. Amber = required, but we found no evidence — so we leave it out.

Daniel Okafor — Backend EngineerPartial match · 51/100

The target

Senior Backend Engineer at Northwind Fintech — 5+ years with distributed systems. Must have: payment APIs, observability, PCI compliance. Nice to have: contract testing, incident response experience.

Professional summary

Original

Backend engineer, 6 years on payment and billing services. Strong on reliability — I improved monitoring, added contract tests between services, and ran incident response. Cut production error rates about 40% last year.

Tailored

Backend engineer with 6 years on payment APIs. I own reliability end-to-end — contract testing, incident response — and the monitoring that cut production errors ~40% last year.

Priya Nair — Product ManagerStrong match · 70/100

The target

Product Manager, B2B SaaS at Cadence Cloud — own the roadmap and ship features that drive retention. Work cross-functionally with engineering, design, and sales. Data-driven mindset required.

Professional summary

Original

Product manager, 5 years on B2B SaaS products. I own roadmaps, partner with engineering and design, and make decisions from data — tracking retention and activation.

Tailored

Product manager, 5 years in B2B SaaS. I own the roadmap end-to-end, work hand-in-hand with engineering and design, and bring a data-driven lens — with retention as my north star.

Marcus Lee — Data AnalystPartial match · 57/100

The target

Data Analyst at Meridian Analytics — turn complex datasets into clear business insights. Strong Python and SQL required. Experience with dashboarding tools. Stakeholder communication skills a must.

Professional summary

Original

Data analyst who enjoys turning messy data into clear answers. Comfortable with SQL and Python, and I like building dashboards that people actually use.

Tailored

Data analyst who turns complex datasets into business insights — building Python and SQL queries and dashboards that teams actually use.