Evaluation, Testing & Optimisation

Define evaluation metrics, build datasets and test frameworks, run A/B tests, and diagnose and optimise live Claude systems.

1. 4.1Defining Evaluation Metrics
2. 4.2Designing Evaluation Datasets and Test Frameworks
3. 4.3A/B Testing and Iterative Improvement
4. 4.4Diagnosing Prompt Failure, Hallucination, and Model Mismatch
5. 4.5Optimising Token Usage, Latency, and Cost-Performance Trade-offs
6. 4.6Monitoring System Performance in Production