Beyond 95% Accuracy
The engineering lessons from building voice agents for healthcare - where benchmarks fail, context hints unlock accuracy, and your production failures become your most valuable training data
The engineering lessons from building voice agents for healthcare - where benchmarks fail, context hints unlock accuracy, and your production failures become your most valuable training data
Why effective LLM evaluation goes beyond simple metrics—addressing trustworthiness, safety, reliability, and continuous improvement for truly valuable AI applications
The Model Context Protocol revolution requires a shift from engineering to product design thinking—building experiences that transform how work gets done, not just tools that LLMs can use