This week, the TWIML AI Podcast examined a critical gap in AI agent development: the failures that standard evaluations fail to catch. In a conversation with Scott Clark, the show explored practical strategies for identifying and addressing these blind spots, offering listeners concrete approaches to building more robust AI systems beyond what traditional testing frameworks reveal.
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