jobbernaut-tailor

Jobbernaut Tailor is an AI-powered resume and cover letter automation platform designed for job seekers processing multiple applications at scale. The system generates tailored, ATS-optimized documents through a 12-stage pipeline that includes job resonance analysis, company research, and storytelling arc development. Multi-stage validation ensures accuracy: input validation, Pydantic schema enforcement, fact verification for hallucination detection, quality thresholds, and LaTeX PDF compilation. The platform processes 10 concurrent jobs in approximately 90 seconds with a >99.5% success rate after automatic retry mechanisms. New humanization features bypass AI detection with >95% success while maintaining professional tone.

Install dependencies with `pip install -r requirements.txt`, configure your POE_API_KEY in `.env`, and set up your master resume in `profile/master_resume.json`. Add job applications to `data/applications.yaml` and run `python src/main.py` to process all pending jobs. Output files are generated in the `output/` directory with debug artifacts.