JOB JARVIS
// the case study
Your AI job-hunt agent. Auto-apply, smart resumes, MCP-powered. Hunts while you sleep.
// the numbers
- autofill on LinkedIn + Indeed
- 1-CLICK
- resume tailoring pipeline
- ATS
- Gmail application tracking
- OAUTH
// the brief
Full-stack AI job-search platform: resume parsing with ATS tailoring, job-description gap analysis, Gmail scanning via Google OAuth, and a Chrome extension for one-click autofill on LinkedIn and Indeed. Currently dogfooding with friends. Public release when the idea proves itself.
// the wins
- Chrome extension: one-click autofill on LinkedIn and Indeed
- AI resume builder with resume parsing, ATS tailoring, and its own generation pipeline
- JD gap analysis — see what a posting wants that your resume doesn't say yet
- Gmail scanning via Google OAuth turns the inbox into application state
- Auto-apply engine that works the boards while you sleep
01 // the problem
Job hunting is a full-time job with no pay. The searching, the tailoring, the form-filling — all of it is repetitive, structured work. Repetitive, structured work is what software is for.
02 // the system
A Chrome extension watches the boards and autofills applications on LinkedIn and Indeed in one click. The resume engine parses what you have, runs gap analysis against the job description, and tailors an ATS-ready version. Gmail scanning over Google OAuth closes the loop — replies, rejections, and interviews land back in the tracker on their own. MCP wires the pieces together.
03 // the discipline
No launch theater. Friends use it, feedback comes in, the model improves. It goes public when it earns it.
// the panels
