This interview features Dr. Sekhar Sarukkai, CEO of Chatsee AI, discussing why autonomous AI agents often experience "silent failures" in professional environments. Unlike traditional software that crashes, agents suffer from behavioral drift and unpredictability, making standard engineering metrics like uptime insufficient for monitoring. Sarukkai introduces the concept of failure memory, a system that categorizes 157 unique failure patterns to help developers move beyond the vague label of "hallucination." He argues that managing these agents requires a human-centric supervisory approach, treating them as employees who need continuous feedback rather than rigid guardrails. The conversation concludes by highlighting the shift from deterministic coding to probabilistic AI systems, emphasizing that future reliability depends on real-time production visibility and automated remediation.
