Four evaluation engineering lessons learned from building agent plugins

From the source: Google Cloud Blog

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. I’ve run…

Read the full story on Google Cloud Blog
Originally published by Google Cloud Blog on 17 Oct 2026. Techarda links to the original rather than republishing it. Read the full article →

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