Summary
This "Ask HN" post investigates how companies operationally manage their internal, custom-built AI agents used across departments like finance or marketing, distinct from off-the-shelf SaaS tools. It specifically inquires about the number of agents deployed, whether engineering or business teams handle daily management, and methods for tracking associated costs such as LLM API fees and compute. The post aims to gather insights into current practices for deploying and maintaining bespoke AI solutions within organizations.
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[r/ML] [D] MYTHOS-INVERSION STRUCTURAL AUDIT
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