Your AI agent failed. The model might not be the problem.

As AI agents move into production, the path between a request and its result is becoming less predictable. An agent can choose its own tools and change course as it works, which makes failures harder to diagnose when there isn’t an obvious error to trace. In a recent interview with The New Stack , Nvidia VP of Product Adel el Hallak described the additional visibility developers will need as agents take on more complex work. Nvidia is also part of an industry effort to share what companies learn when those systems fail. The Secure Agent Findings Exchange, or SAFE, is backed by roughly 140...

Source: The New Stack

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