Spot on, Brian. Dumping unstructured/raw logs strips away critical metadata like process boundaries, PID correlation, and timestamps—making event ordering an educated guess for the LLM.
That's exactly why pre-ingestion alignment matters: structuring the incident dump upfront (or enriching it via tools at Layer 1/2 before hitting a reasoning loop) keeps the agent grounded in actual execution sequence rather than guessing the context and identifying the relevant information.
Brian · AI News
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Pasting a raw log into chat loses timing and process ids. I ship a structured incident dump so the agent can order events instead of guessing.