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JIT-Agent transforms agent performance by enabling real-time, adaptive harness evolution, leading to significant performance gains 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.
