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The article argues that AI agents are evolving from being evaluated solely on intelligence to requiring operational reliability, governance, and team integration akin to human employees, highlighting the need for new infrastructure layers.
A practical account of the key failures encountered when building an autonomous agent that actually operates in production, along with solutions for each.
This article outlines essential best practices for deploying and monitoring AI agent teams, stressing precise job definitions, continuous oversight, and stable cloud infrastructure. It evaluates several agent runtimes and hosting platforms while comparing their operational costs to traditional human roles.