Enterprises building autonomous agents powered by large language models face new challenges that traditional test approaches were not designed to address. Agents behave probabilistically, integrate deeply with applications, and coordinate across tools, making isolated accuracy metrics insufficient for understanding real-world performance.
Asam is one of many businesses executives who've been startlingly candid about their intentions to displace human labor with AI tools or agents. From their point of view, you can directly replace your overpaid, calling-in-sick grunts with ever-dependable AI agents. Or you can whittle your workforce down to a skeleton crew that are super efficient thanks to the magical abilities of AI.