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Use case

Human-in-the-loop, with the loop documented.

QA, moderation, AI-output review — the work where the “human review” is the whole product. GigAnywhere makes reviewer decisions, calibration, and escalations visible and exportable.

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Why GigAnywhere

Decision quality is your product. Treat it like one.

QA and moderation pipelines stand or fall on reviewer consistency. GigAnywhere gives you rubric-based decisions, inter-reviewer agreement metrics, and a record per item.

Rubric scoring Reviewers score against your taxonomy, not gut feel.
Calibration sessions Run regular calibration with a known-good sample.
Agreement metrics Track inter-reviewer agreement by category.
Escalation log Edge cases get reviewed by a senior or back to the client.

Common QA / moderation work

  • Trust & safety moderation
  • AI output review & rating
  • Customer ticket QA
  • Listing/profile review
  • Data labeling QC
  • Compliance review
Recommended setup

Workspace template — “Trust & Safety review”

Reviewer rubric

  • Category label from taxonomy
  • Severity score 1–5
  • Free-text rationale (one sentence)
  • Escalate if uncertain

AI supervisor rules

identity_verification: required
calibration_set_per_week: 25 items
target_agreement_rate: >= 90%
flag_disagreement_with_calibration: true
escalate_uncertain_severity_5: true
Recommended proof level: Verified Work — reviewer identity, calibration tracking, and per-item decision logs.

Human review you can audit.

Rubrics, calibration, identity, decision logs.

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