Open-Source AI Workflow Cuts Job Application Time with Multi-Agent Review
A geophysicist built and open-sourced a Claude Code pipeline that automates CV tailoring, cover letter writing, and PDF generation, using a two-agent system for quality assurance.
Practical Summary
This workflow automates the repetitive process of applying for jobs by using AI to score job fit, generate tailored LaTeX CVs and cover letters, and compile final PDFs. It uses a multi-agent approach where one AI drafts and another reviews, reducing manual effort and potential errors.
Why It Matters
For professionals, this represents a significant time and cost reduction in job hunting, replacing manual tailoring or paid services with a self-owned, customizable workflow. The open-source nature and high fork rate suggest it's a practical, reusable solution that can be adapted for various roles or industries.
How the AI Job Application Workflow Works
The system is built on Claude Code and runs as a five-step pipeline. First, it reads a job posting and scores how well your background fits. Second, it drafts a tailored CV in LaTeX, selecting only relevant experience. Third, it writes a cover letter focused on your potential contributions. Fourth, a second AI agent reviews the draft for weaknesses, and the first agent revises accordingly. Finally, it compiles both documents into clean PDFs ready for submission.
The workflow is configured via plain text files—your profile, writing style rules, CV templates, and notes—which you can edit to customize output. While the job search is tailored for Danish portals, the application generation works globally.
Key Evidence of Practical Adoption
The project's GitHub repository has 489 stars and 270 forks. A high fork-to-star ratio indicates active usage rather than passive interest, meaning users are adapting and running the workflow for their own applications.
The creator, Mads Lorentzen, built it for personal use and released it under the MIT license, emphasizing its role as a reusable, cost-saving tool rather than a commercial service. This lowers the barrier to entry and encourages community-driven improvements.