The problem I kept seeing: people with genuinely strong government careers — 15, 20 years of federal service, real scope, real responsibility — sending out résumés that got ignored.
Not because the career wasn't there. Because the résumé was written for the wrong audience.
Federal and military résumés are built for government hiring. They're long, dense with acronyms, organized around duty statements rather than outcomes. That format is correct for USAJOBS and government HR systems. It's the wrong document for a private-sector recruiter, a defense contractor, or a state agency hiring manager who doesn't know what GS-13 means.
The translation layer between those two worlds is specific and learnable — but most people navigating a career transition don't know it exists, and the human specialists who do it charge $300–600+ with multi-day turnaround.
What I built
Service to Sector is an AI advisor named Jordan that conducts a structured intake conversation — your grade, agency, role scope, what you actually accomplished — and produces a translated résumé in the format and vocabulary your next employer can evaluate. Not a generic AI rewrite. A translation that knows what a battalion S4 does, how to convert a GS-14 budget authority into a private-sector credential, and when to use USAJOBS format vs. a two-page civilian résumé.
Covers federal civilian, active duty, Reserve, Guard, and dual-career backgrounds. Every direction: federal to private sector, military to civilian, federal to federal, military to defense contractor. Also works from scratch if you don't have a résumé yet.
One-time purchase, $97. No subscription to get your résumé.
What surprised me
The timing ended up mattering more than I expected. Federal workforce changes in early 2026 created a wave of people navigating this exact problem for the first time — career federal employees who had never had to translate their record before and didn't know where to start. The demand was already there. The moment accelerated it.
The other thing: the domain knowledge required is genuinely deep. MOS codes, AFSC ratings, veterans' preference rules, pay plan crosswalks, the difference between Title 10 and Title 32 service for federal hiring purposes — this isn't a general AI problem. It's a specialized translation problem with a lot of institutional knowledge baked in.
Where it stands
Early. Still building distribution. The product works — the translation quality is the thing I'm most confident in. SEO and content are the current focus since the audience is scattered across dozens of different search queries depending on their branch, grade, and target direction.
Happy to talk through anything — especially if you've navigated a federal or military transition yourself and have thoughts on what would have helped.