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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

  1. Build a personal MCP server (the vault) and connect it to the AI
  2. Upload 10 years of resumes and organize them into ~80 multi-angle bullets
  3. Journal weekly by voice note; the AI structures the dumps into bullets
  4. Tag and rank bullets against each job description
  5. Assemble the resume in a web editor, swap bullets, download the PDF
  6. Each morning the AI finds 4-5 fitting jobs and prepares tailored resumes for review
  7. 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 ↗

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