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Validating Patterns at Scale with AI
An LLM gatekeeper that automatically validates discovered patterns and escalates only the ones that matter.
The problem
The detection system discovered many streaming patterns — but the patterns kept multiplying.
Engineers couldn't manually validate everything without drowning in noise.
What I built / changed
- Built an LLM agent that acts as a gatekeeper.
- Gave the agent access to raw session data and summary statistics.
- Evaluated each detected pattern for significance and practical impact.
- Escalated only patterns worth investigation.
Result
90% reduction in triage effort.
Stack / concepts
LLM agentsRAGPattern validation
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