For the student

Four ways in

Review: upload a resume as PDF, Word or text and get strengths, ranked improvement suggestions, before-and-after bullet rewrites and a personal closing note, all against the DAIS rubric. Job fit: paste a posting for an honest gap analysis, with matched requirements, real gaps, keywords you could truthfully add and re-angled bullets.

Project bullets: pick a DAIS course project, describe what you personally did, and get resume bullets that only claim your actual work, plus the interview questions a recruiter would ask. Rewrite: restructure the whole resume into the DAIS template and download a formatted Word document; anything unverifiable becomes a bracketed placeholder with a verify list.

For the instructor, and for privacy

A human stays in the loop

Instructor mode is the department’s workflow, not a replacement for it: the AI pre-flags issues from the shared comment library, the instructor toggles what applies and edits the closing note, and a ready-to-send feedback letter comes out in the established format. Nothing reaches a student unreviewed.

Files are parsed in the browser, so the document itself never leaves the student’s machine; only extracted text is sent, with optional redaction of contact details. The server holds no database and stores nothing. It works with a student’s own API key or a department key unlocked by a class access code.

Next.js · Claude, OpenAI or Gemini · bring your own key or a department code · Vercel

DAIS Resume Studio: model and access settings above a resume upload box
ReviewChoose the model, unlock with the class code or your own key, then upload or paste a resume.