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Rising costs of AI agent inference and orchestration are creating a crisis for engineering teams. The expense of running multiple model calls per task, combined with complex agent loops, can quickly exceed traditional API budgets. Teams must now optimize token usage and rethink agent architectures to stay viable.
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Summary by ByteBrief
How Tokenmaxxing Became Enterprise AI's Biggest Unforced Error