ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
121 articles · Published by MARIA OS
Dual-model anomaly detection, threshold engineering, gate integration, and real-time stability monitoring for autonomous agent systems
The Doctor system in MARIA OS implements organizational metacognition through dual-model anomaly detection, combining Isolation Forest for structural outlier detection and an Autoencoder for continuous deviation measurement. We detail the combined score A_combined = alpha * s(x) + (1 - alpha) * sigma(epsilon(x)), threshold design (soft throttle at 0.85, hard freeze at 0.92), and Gate Engine integration for dynamic governance-density control. We also define a stability guard that monitors lambda_max(A_t) < 1 - D_t in real time, where A_t is the operational influence matrix. Operational results show F1 = 0.94, mean detection latency of 2.3 decision cycles, and 99.7% prevention of cascading failures.
How action routing and gate control compose into a provably safe routing system where each routed action carries complete responsibility provenance
Enterprise AI systems face a core tension: routers must maximize throughput and decision quality, while gate engines must enforce safety constraints and responsibility boundaries. When these subsystems are implemented independently and stacked in sequence, interface failures emerge: routed actions can satisfy routing criteria but violate gate invariants, and gate rules can block optimal routes without considering alternatives. This paper presents a formal composition theory that unifies Gate operator G and Router operator R into a composite operator G ∘ R that preserves safety invariants by construction. We prove a Safety Preservation Theorem showing the composed system maintains gate invariants while maximizing routing quality inside the feasible safety envelope. Using Lagrangian optimization, we derive the constrained-optimal routing policy and show a 31.4% routing-quality improvement over sequential stacking, with zero safety violations across 18 production MARIA OS deployments (1,247 agents, 180 days).
Minimizing safety risk subject to throughput maximization constraints using minimax optimization and responsibility-gated production decisions
Manufacturing throughput and worker safety are often treated as competing objectives. This paper introduces a minimax formulation that prioritizes worst-case safety risk minimization subject to throughput-floor guarantees. The Lagrangian dual form yields gate-threshold rules for production decisions, and MARIA OS responsibility gates enforce hard safety overrides at each node. In an automotive assembly-line simulation, the framework reported 99.7% safety compliance with a 3.2% throughput reduction versus unconstrained production.
Why average-score gates structurally fail and how MAX-based scoring achieves zero false-acceptance under defined conditions
Average-score gating can dilute critical risk signals by construction. For example, a low score in one domain may mask a high score in another under arithmetic averaging. This paper analyzes why MAX-based scoring removes that masking effect in fail-closed designs, and reports zero false acceptance under the stated conditions in evaluated datasets.
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Complete list of all 121 published articles. EN / JA bilingual index.
121 articles
All articles reviewed and approved by the MARIA OS Editorial Pipeline.
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