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.
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Stability Laws
Mathematical conditions under which agentic governance holds or breaks.
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Algorithm Stack
10 algorithms mapped to a 7-layer architecture for agentic organizations.
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Mission Constraints
How to optimize agent goals without eroding organizational values.
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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.
How a 7-layer prompt hierarchy, 5 conversation modes, zero-latency knowledge injection, and sentence-level streaming create a voice AI that understands before it speaks
Voice assistants answer questions. MARIA Voice understands people. Built on a 7-layer prompt hierarchy (Constitution, Identity, Response Style, Meta-Cognition, Safety, Persona, Memory), MARIA Voice implements a full cognitive pipeline: keyword-based emotion detection, context-sensitive mode switching, 2-tier knowledge injection, 6-layer persistent memory, and mode-adaptive response generation — all optimized for real-time voice with sub-800ms first-sentence latency. This paper presents the theoretical foundations in cognitive science and therapeutic dialogue, the complete system architecture, the mathematical models underlying emotion and mode detection, and production results from thousands of voice sessions.
7層プロンプト階層、5つの会話モード、ゼロレイテンシ知識注入、文レベルストリーミングが、話す前に理解する音声AIを実現する方法
音声アシスタントは質問に答える。MARIA Voiceは人間を理解する。7層プロンプト階層(憲法、アイデンティティ、応答スタイル、メタ認知、安全ゲート、ペルソナ、記憶)に基づき、MARIA Voiceは完全な認知パイプラインを実装する:キーワードベースの感情検出、コンテキスト感応型モード切替、2層知識注入、6層永続記憶、モード適応型応答生成 — すべてがリアルタイム音声用に最適化され、初回文レイテンシ800ms未満を達成。本論文では認知科学と治療的対話の理論的基盤、完全なシステムアーキテクチャ、感情・モード検出の数学モデル、そして数千の音声セッションからの運用結果を報告する。
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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