Operations Guide
AI Quality Calibration Framework (2026) - Operations Guide
Thresholds drift fast when calibration is untracked. This framework aligns quality ops, product, and engineering teams on baseline-driven calibration with fixed review cadence.
Direct answer
Thresholds drift fast when calibration is untracked. This framework aligns quality ops, product, and engineering teams on baseline-driven calibration with fixed review cadence.
Fast path
- Collect baseline quality scores for each dimension with historical variance bands.
- Set threshold adjustment triggers based on drift detection and user feedback correlation.
- Track false-positive and false-negative rates per criterion with owner-assigned root cause.
Guide toolkit
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Turn this guide into a working brief for AI Output Quality Scorer Generator.
Implementation Steps
- Collect baseline quality scores for each dimension with historical variance bands.
- Set threshold adjustment triggers based on drift detection and user feedback correlation.
- Track false-positive and false-negative rates per criterion with owner-assigned root cause.
- Feed calibration outcomes into scoring framework updates and escalation policy refinement.
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