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Avoid these mistakes to build automation that survives UI changes, validates outcomes properly, and provides useful feedback.

如此一来，便可以同时获得多条相互独立的推理路径并进行交叉验证，从而显著降低偶然性错误，提升在复杂问题上的稳定性、可靠性与最终答案质量。如此一来，可以进一步提升模型在极具挑战性任务上的表现。