Agarwal: Incident troubleshooting requires adaptive search over LLM context dumping
Anish Agarwal · ⚡️Traversal: Causal ML and Reinforcement Learning · Oct 5, 2025 · at 7:07
Anish Agarwal, co-founder of Traversal, explains why enterprise incident root cause analysis requires sequential, adaptive agentic search across massive telemetry data rather than single-prompt LLM context.
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“You cannot just Put all of it into context of an LLM and hope something great happens. You have to search the data sequentially and adaptively, right? And that's what these agentic systems are fundamentally about.”
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