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Candidate Scorecard Aggregator

Aggregates all stage scorecards with human-set visible weights, computes the ranking deterministically, surfaces divergence between stages and interviewers, and produces a full evidence pack plus an adverse-impact report. Advisory only.

Decision auditability100%GoalSign up to run

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

give me the final candidate rankingaggregate the interview scorecards

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

Decision auditability
100%
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 report present 100% · Aggregation recomputes exactly

Works well with