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A developer shares their experience of a single system prompt change degrading LLM response quality without triggering traditional monitoring alerts, and describes internal tooling they built to monitor semantic quality in production LLM applications.
A developer built Arc Gate, a monitoring proxy for LLMs that uses Fisher information manifold geometry to detect session-level prompt injection attacks, identifying Crescendo-style gradual manipulation by tracking t-values against a phase transition threshold t* = 1.2247 rather than per-turn phrase detection.