Journal six months of my career into an AI vault that writes my resumes
Fed up with tailored resumes that read like AI slop and broke formatting on every edit, a job seeker built his own MCP server - a vault his AI can reach into. Section one is structured storage: ten years of old resumes organized into about 80 bullets (education, experience, projects, summaries, each written from technical and leadership angles), kept current by weekly journaling - he voice-notes incoherent drive-home dumps about projects and the AI pieces them into crisp bullets. Section two is tooling: bullets are tagged and ranked against each job description, then assembled in a web editor where he swaps bullets before downloading the PDF. Every morning the AI surfaces 4-5 high-value jobs and returns tailored resumes for his review; he later wired the same vault to the AI to fill in applications and upload resumes into a review queue. Six months: 250 applications, 39 callbacks, 4 offers.
How it works
- Build a personal MCP server (the vault) and connect it to the AI
- Upload 10 years of resumes and organize them into ~80 multi-angle bullets
- Journal weekly by voice note; the AI structures the dumps into bullets
- Tag and rank bullets against each job description
- Assemble the resume in a web editor, swap bullets, download the PDF
- Each morning the AI finds 4-5 fitting jobs and prepares tailored resumes for review
- Later connect the vault to the AI to fill applications and queue them for submission
Why it’s worth knowing
The resume is never written - it is assembled from a career journal he maintains by talking to the AI on his drive home, which is why none of it reads like AI slop.
Where it’s from
Summarized from a public post on reddit.com. See the original ↗