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JIT-Agent redefines agent performance by enabling on-the-fly harness evolution, leading to substantial improvements over existing models.
TACO reduces token overhead by 10% while boosting terminal agent performance by up to 4%, revolutionizing how we approach long-horizon reasoning tasks.
