Assists in creating job application cover letters via LLM (ChatGPT) summaries and generative AI. Langchain is used to navigate the OpenAI APIs.

├── cover-chain.py
├── cover-letter.txt
├── cover-this.py
├── img
│   └── cover-flow.png
├── job-spec.txt
├── README.md
└── schneeman-brent-resume.pdf

The main executable is cover-chain.py and is invoked via /bin/python3 /home/brent/projects/tworavens/github/cover-this/cover-chain.py. It reads the job-spec.txt file, summarizes it, reads the schneeman-brent-resume.pdf file and builds a prompt with the summarized spec and the resume which asks the LLM to write a cover letter.

The cover is output to console, and written to the cover-letter.txt file.

The job-spec.txt is copy-pasted text from whatever website lists the spec. This seems more direct than programmatically reading the website directly as certain job boards require authentication for access and I didn't want to bite off OAUTH (e.g.) in this simple program.

The generated cover letter requires proofing and editing. It is generally good English, but the LLM can (and does) hallucinate experience. For example, I apparently have multiple concurrent PhDs (which I do not). The generated cover is a good start.