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How to score resumes against a job profile in minutes with Work Wit AI Agent

Upload a resume and a job profile to get key candidate fields, a match score, and a recommendation.

Who it is forAn HR recruiter with a batch of applicants for one open role who needs a first-pass ranking.

The problemReading every resume against a job description by hand takes time, and the comparison is inconsistent across reviewers.

The outcomeFor each resume, a list of key fields, a job-profile match score, and a recommendation to guide the next review step.

What you need first

  • A Linux server (Ubuntu 22.04 recommended) with Docker and the docker compose plugin
  • Four OpenAI-compatible model endpoints with addresses and keys for chat, vision, embed, and rerank roles
  • Git access to the repo

Steps

  1. Deploy WorkWit and sign in to the web app on port 4001
  2. Open the Resume Screening feature
  3. Upload one candidate resume and the job profile for the open role
  4. Read the extracted key fields, the match score, and the recommendation
  5. Repeat for each candidate and review the top scores yourself before any decision

Prompt for your agent

Using the WorkWit-AI-Agent repo deployed at <app-url>, run Resume Screening on <resume-file> against the job profile <job-profile-file>. Expected output: key candidate fields, a match score, and a recommendation. Verify that the score is explained by fields that appear in the resume text.

Caveat. The README describes the match score and recommendation as model output and does not describe any validation, so a human should check them before acting on a candidate.

Use this in your AI agent

Ask your agent

Using the Deduped MCP, get the setup steps for crane-in-clear-sky/WorkWit-AI-Agent and "Score resumes against a job profile in minutes"

Add Deduped to Claude Code once

claude mcp add --transport http deduped https://dedupedai.com/mcp

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