From a green software perspective, waste in agentic AI comes not only from model choice, but also from workflow design. Agent workflows combine planning, retrieval, retries, memory, tools, and model calls. Poor controls can lead to large models for simple tasks, long histories, repeated retrieval, or needless tool calls, increasing compute, cost, and latency. This talk presents a design-review...
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