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Testing AI agents is the practice of verifying that an autonomous, tool-using AI system completes tasks correctly, consistently and safely, not just that its answers sound right. It matters because agents act on real systems: one benchmark found a leading model's success rate fell to about 25% when the same task had to succeed eight times in a row.
