I built this because I was tired of "vibe-based" prompting. Most agentic workflows in 2026 suffer from Ontological Drift (\mu). I’ve implemented a tripartite [Galileo/Luminary/Skeptic] audit loop that uses Mean Squared Error (MSE) and Cauchy’s Integral Formula to bound model reasoning. It's essentially a "Black Box" flight recorder for LLMs. I've included a White Paper and a Self-Audit Certificate in the repo. Would love to hear from architects dealing with agentic safety.
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