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Interest in generative AI (GenAI) is transitioning from developing models to creating agents that autonomously perform a broad range of tasks. But trouble awaits those unleashing the capabilities of agentic AI without a firm grip on end-to-end reliability.
“Unreliable agents are not simply inefficient; they represent a significant source of operational, financial, legal and reputational risk,” Mohith Shrivastava, principal developer advocate at Salesforce, told me in an interview. “With agentic AI being deployed at scale, reliability…
