Claude can rewrite resumes all day long, but evaluating its work is usually your job. To fix that, I built jev-score, a CLI tool for Claude that uses Jev (a fast, cheap, consistent scoring model from TypeSafeAI) to score writing. Here’s how it works. You make an eval group, which is just a list of statements about your document, like “This resume is a strong fit for the job” and “This resume would land an interview”. For each statement, Jev reads the job posting and your resume, asks whether the statement is true, and assigns a score. A resume that’s a so-so fit might get a 50, and a strong one might get a 90. Higher is better. Then Claude works in a loop. It writes a new draft of the resume, jev-score scores it, and Claude sees whether the scores went up or down and tries again. That’s how my resume went from 83 to 97 overall. The CLI runs on your machine and calls Jev through OpenRouter. Optimizing one document costs pennies and the results are way better than letting Claude raw dog it. (do not let Claude write the eval statements. slop evals = slop writing). Repo: https://github.com/a-Fig/jev-score submitted by /u/Fig_da_Great
Originally posted by u/Fig_da_Great on r/ClaudeCode