If you are in the job market, you probably know this pain. One job description. Thirty minutes (conservative) of manually tailoring your CV and cover letter. Ten jobs on your "To Apply" list. That's 5 hours gone on a weekend - not interviewing, not networking. Rewriting the same document over and over. I built something to fix that. And it's built around @Nate Herk's 3Ms - Mindset, Method, Machine. <<-- 1st M: MINDSET - stop rewriting from scratch -->> What if your career was a structured data source, not a Word document you panic-edit before every application? That shift in thinking is where this whole system starts. Instead of rewriting for every role, you maintain one master profile. The job description drives the tailoring. AI generates the doc for you. You never start from zero again. <<-- 2nd M: METHOD - structure before automation-->> The system doesn't work like a generic "write me a resume" prompt. A guided onboarding flow interviews you once and builds your master profile - your single source of truth. A "/apply-for-job" command reads that profile, the job description, and any project references you've stored, then generates ATS-safe .tex files ready for submission. It also handles language. Applying to a German company? The system switches to German section headings, German date formats, and German cover letter conventions automatically. <<-- 3rd M: MACHINE - build it like a boring workflow, not a magic agent -->> No app. No backend. No SaaS. Just files, prompts, templates, and rules - working together like a pipeline. Deliberately simple. Deliberately repeatable. But the part I'm most proud of isn't the document generation. It's the gap analysis that runs before anything gets written. Before the system produces a single line of your CV, it reads your profile against the job description and tells you: - Where you're a strong match - Where your profile is weak or missing evidence - What needs to be reframed or emphasized

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