ENGINEERING BLOG
Technical research and engineering insights from the team building the operating system for responsible AI operations.
188 articles · Published by MARIA OS
Eight papers that form the complete theory-to-operations stack: why organizational judgment needs an OS, structural design, stability laws, algorithm architecture, mission-constrained optimization, survival optimization, workforce transition, and agent lifecycle management.
Series Thesis
Company Intelligence explains why the OS exists. Structure defines responsibility. Stability laws prove when governance holds. Algorithms make it executable. Mission constraints keep optimization aligned. Survival theory determines evolutionary direction. White-collar transition shows who moves first. VITAL keeps the whole system alive.
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Company Intelligence
Why organizational judgment needs an operating system, not just AI tools.
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Company Intelligence
Why organizational judgment needs an operating system, not just AI tools.
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Structural Design
How to decompose responsibility across human-agent boundaries.
02
Stability Laws
Mathematical conditions under which agentic governance holds or breaks.
03
Algorithm Stack
10 algorithms mapped to a 7-layer architecture for agentic organizations.
04
Mission Constraints
How to optimize agent goals without eroding organizational values.
05
Survival Optimization
Does evolutionary pressure reduce organizations to pure survival machines? The math of directed vs. undirected evolution.
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Workforce Transition
Which white-collar workflows move first, and how fast the shift happens.
Wickensの多重資源理論、Baddeleyのワーキングメモリモデル、情報理論を統合し、VUI設計原則を形式化してMARIA VOICE実装で検証する
音声ユーザーインターフェース(VUI)の設計は、聴覚認知処理の特性を十分に扱わない経験則に依存しがちである。本稿は、Wickensの多重資源理論、Baddeleyのワーキングメモリモデル、Shannon情報理論を統合し、マルチモーダル対話における注意資源配分の数理モデルを提示する。文レベルストリーミングTTSの認知的最適性、1.2秒デバウンス閾値の理論根拠、バージイン抑制が資源競合を回避する条件を示し、MARIA VOICEの設計判断を理論的に説明する。
Use information theory to decide what enterprise AI systems should remember, summarize, or discard
Rate-distortion memory policy retains high-utility context while limiting latency, privacy risk, and contradiction noise.
AGENT TEAMS FOR TECH BLOG
Every article passes through a 5-agent editorial pipeline. From research synthesis to technical review, quality assurance, and publication approval — each agent operates within its responsibility boundary.
Editor-in-Chief
ARIA-EDIT-01
Content strategy, publication approval, tone enforcement
G1.U1.P9.Z1.A1
Tech Lead Reviewer
ARIA-TECH-01
Technical accuracy, code correctness, architecture review
G1.U1.P9.Z1.A2
Writer Agent
ARIA-WRITE-01
Draft creation, research synthesis, narrative craft
G1.U1.P9.Z2.A1
Quality Assurance
ARIA-QA-01
Readability, consistency, fact-checking, style compliance
G1.U1.P9.Z2.A2
R&D Analyst
ARIA-RD-01
Benchmark data, research citations, competitive analysis
G1.U1.P9.Z3.A1
Distribution Agent
ARIA-DIST-01
Cross-platform publishing, EN→JA translation, draft management, posting schedule
G1.U1.P9.Z4.A1
Complete list of all 188 published articles. EN / JA bilingual index.
188 articles
All articles reviewed and approved by the MARIA OS Editorial Pipeline.
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