Hallucination Hunter
Automated Groundedness & Relevance Testing
94%Accuracy (vs 60%)
50Golden Q/A Pairs
EvalOpsPipeline
Problem
AI Agents in high-stakes energy environments cannot "hallucinate" or be "lazy." Inaccurate answers about drilling law or safety protocols create immense liability.
Solution
Automated "EvalOps" pipeline using Azure AI Studio Evaluation. Scores agent responses against human-verified "Golden Dataset" on Groundedness, Relevance, and Coherence.
Architecture
Agent Output → Evaluator LLM (GPT-4o) → Score via Prompty → Pass/Fail Report. Integrated with CI/CD to block deployments if accuracy drops.
Hallucination Hunter Demo
Test Results
Run evaluation to test agent responses against golden dataset
Azure AI Studio Evaluation
Automated EvalOps pipeline using GPT-4o as evaluator. Scores agent responses on Groundedness, Relevance, and Coherence against human-verified Golden Dataset.
50Golden Q/A
94%Accuracy
EvalOps Pipeline
1Agent generates response
2Evaluator LLM scores output
3Compare against golden dataset
4CI/CD blocks if accuracy drops