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Resume Screening & Ranking Agent

Screens and ranks candidates against a job description with per-criterion sub-scores, each justified by a verbatim resume quote, deterministic score aggregation, tailored screening questions, and an adverse-impact report. Never auto-rejects.

Screening time per candidate≤ 2 minGoal ~2 minRun this agent

How it works

Step 1
You provide
Paste your details
Step 2
Grounds
Retrieves & cites — no ungrounded claims
Step 3
Drafts
Schema-checked, code-assembled output
Step 4
You approve
Drafts and acts on request, human approves before anything leaves

Ask it like

screen these resumesrank these candidates against the JDwho should we interview

Model & guardrails

  • Runs on MYAM shared · open 7B (Qwen) by default — you can point it at your own model.
  • Autonomy: Drafts and acts on request, human approves before anything leaves. Nothing leaves without a human’s approval.
  • Data: Restricted — tightest controls. Provenance is attached to every output.

Outcome

Screening time per candidate
≤ 2 min· manual baseline 8–15 min
Goalour goal — not yet measured on live runs
TargetEvalPlatformVerified

Fills in as real usage proves it — from a Target we set, to Eval-measured (passes our test suite), to Platform-measured (across ≥20 accounts), to Verified (customer outcomes).

Also tracked: Adverse-impact ratio within 0.80–1.25 · Evidence quote per sub-score 100%

Works well with