Production Evaluation Engineering

Canonical Source of Trust: Google Doc Tab Production Evaluation Engineering
Training Program: [Huy Chau] Generative AI Training Plan

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PRODUCTION EVALUATION ENGINEERING

Timeline: 1 Week

Topics:

• LLM-as-a-Judge at Scale
  • Operationalizing Qualitative Scoring on Production-Grade Datasets using RAGAS Answer Faithfulness
• **Annotation Queues for Expert Calibration: **
  • Human Expert Review Integration and Feedback Loops for Ground-Truth Refinement
• **The Data Flywheel (Automated): **
  • One-Click Conversion of Problematic Production Traces into Durable Regression Test Cases
• Scalable Supervision:
  • Combining LLM-as-a-Judge with Human Annotation Queues to Sustain Evaluation Quality as Dataset Volume Grows

Subjective Outputs:

Build a Production Evaluation System for a multi-agent pipeline of your choice from prior phases. The system must demonstrate all of the following in a single, cohesive implementation:

• Human reviewers validate edge cases and disagreements
• Demonstrably improves scoring consistency across successive evaluation rounds
• Any agent run flagged as a failure by the judge is automatically converted into a regression test case and re-executed against subsequent system versions to confirm resolution.
• Produce a final Scalable Supervision Report showing the full quality lifecycle