COMPILING AGENT SKILLS CUT TOKEN USE BY 94%

Summary from the TLDR AI newsletter

A recurring content workflow was converted from natural-language agent instructions into deterministic code, reducing token usage by 94%. The approach keeps language models focused on judgment-heavy steps while conventional software handles stable, repetitive operations.