Not everything should cost a token: the case for deterministic AI
SMRTR summary
Many teams waste money by routing simple, repetitive tasks through AI models, paying per token for work that basic code could handle for free. The smarter approach separates tasks needing judgment (AI-handled) from mechanical, repeatable tasks (code-handled), dramatically cutting costs while improving accuracy and output quality.
SMRTR provides this summary for quick context. The original article belongs to Hacker News.
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