LLMs Incentivizing Token-Heavy Pipelines Over Simple Deterministic Solutions
Engineering teams are building elaborate multi-step LLM pipelines for tasks that simple scripts or deterministic code would handle more reliably. The token-burn becomes a proxy for progress, creating invisible technical debt. No framework exists to help teams evaluate when AI genuinely improves over existing deterministic approaches.
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