Four evaluation engineering lessons learned from building agent plugins

The real challenge of building an agentic system isn’t the construction, it’s the measurement. Evaluation engineering is a critical foundation for building reliable AI systems. Setting up systematic, repeatable tests to measure your agent’s true behavior can be the difference between shipping a tool you can trust and one that silently breaks, fails to call APIs, or makes mistakes.