The Tiny AI Agent That Saved My System Before Any Monitoring Tool Even Noticed
Last Updated on December 9, 2025 by Editorial Team
Author(s): Manash Pratim
Originally published on Towards AI.
There’s a moment every engineer dreads. The dashboards are green. The alerts are silent. Everything looks calm until it isn’t.
One minute your logs are flowing normally. The next minute, the system collapses like a badly timed Jenga tower.
The article discusses the author’s experience creating a small Python agent that monitors system logs in real-time, catching issues before traditional monitoring tools can trigger alerts. By focusing on behavioral patterns, the author outlines the engineering challenges faced while building and optimizing this agent, including log deduplication and effective AI usage for predictions, ultimately concluding that this method could serve as a vital layer of observability in software systems.
Read the full blog for free on Medium.
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Note: Article content contains the views of the contributing authors and not Towards AI.
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