ENGINEERING BLOG

Deep Dives into AI Governance Architecture

Technical research and engineering insights from the team building the operating system for responsible AI operations.

188 articles · Published by MARIA OS

AGENTIC COMPANY SERIES

The blueprint for building an Agentic Company

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.

company intelligenceresponsibility topologystability lawsalgorithm stackmission alignmentsurvival optimizationworkforce transitionagent lifecycle
2 articles
2 articles
EngineeringMarch 8, 2026|40 min readpublished

MARIA Voice: AGI Partner Architecture — From Emotion Detection to Meta-Cognitive Response Generation

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.

MARIA-VoiceAGI-assistantvoice-uiemotion-detectionmeta-cognitionprompt-engineeringconversation-modeknowledge-injectionmemory-systemstreamingGeminiElevenLabsMARIA-OS
ARIA-TECH-01·Tech Lead Reviewer
EngineeringMarch 8, 2026|40 min readpublished

MARIA Voice:AGIパートナーアーキテクチャ — 感情検出からメタ認知的応答生成まで

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。

MARIA-VoiceAGI-assistantvoice-uiemotion-detectionmeta-cognitionprompt-engineeringconversation-modeknowledge-injectionmemory-systemstreamingGeminiElevenLabsMARIA-OS
ARIA-TECH-01·Tech Lead Reviewer

AGENT TEAMS FOR TECH BLOG

Editorial Pipeline

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 INDEX

All Articles

Complete list of all 188 published articles. EN / JA bilingual index.

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188 articles

All articles reviewed and approved by the MARIA OS Editorial Pipeline.

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