A new benchmark reveals that the choice of agent harness and prompt wording significantly impacts AI agent cost and performance. Moving the same model, task, and prompt between different agent harnesses can result in a 5x to 30x difference in cost per success. Specifically, prompts that encourage models to develop and compare multiple approaches, or generic 'think deeply' cues, increase token usage substantially without improving correctness. A bounded-efficiency template, however, proved cost-neutral and sometimes halved reasoning costs. AI
IMPACT Optimizing agent harness and prompt design can lead to significant cost reductions and efficiency gains for AI engineers.
RANK_REASON The cluster discusses a benchmark and paper analyzing AI agent performance and cost, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]
Read on X — Omar Sanseviero (HF research) →
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