1 link tagged with all of: inference-efficiency + token-economics + agentic-ai + ai-costs + context-management
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The article shows how real-world agentic AI deployments can blow through budgets because multi-step workflows use 5–30× more tokens per task than simple chatbots. It breaks down four hidden cost layers—LLM inference with re-sent context, context rot, tool orchestration, and infrastructure—and offers strategies to curb runaway spending before your production bill arrives.
agentic-ai
token-economics
context-management
ai-costs
inference-efficiency
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