🎮 CivAgent v4 — 57 historical governance systems × Claude Code + Codex + Gemini + 6 CN model backends. Choose your civilization, command your AI team.
A living meta-framework that unifies principles, rhythms, and documentation across engineering, designed for clarity, consistency, and long-term scalability.
An open framework for treating organizational design like software. OPI Spec, YAML examples, JSON Schema, and templates.
Whitepapers and frameworks on software engineering leadership, organizational transformation, and data governance. Diagnostic tools and practical roadmaps for building enabling teams, measuring maturity, and executing sustainable change. Written using spec-driven development principles.
Open-source, local-first research calculator for AI adoption economics, workforce capacity, and organizational design.
The AI Organization — Why AI transformation fails without redesigning the organization itself. A structural analysis of leadership, culture, and incentive systems in the AI era. / AI時代の組織論。AI導入が失敗する本質は技術ではなく組織にある。リーダーシップ・文化・評価制度の構造分析。
Business Process Model Viewer
A shared glossary defining the core terms, concepts, and structures used across the Strategy-to-Execution enterprise transformation framework.
Public concept, white paper, translations, PDFs, and future open infrastructure for AI-native organizations.
Python validator + JSON Schema for Organizational Schema Theory. Test-driven business specification with CI/CD validation.
Open operating system design for minimal-human companies: an early open project exploring how an AI-native venture factory could systematically launch and operate many small products.
A minimalist portfolio of experience supporting operational transitions through a risk-aware lens that is optimized for data integrity, low-exposure execution, and cross-jurisdictional alignment.
Interactive Team Topologies visualizer for org design: baseline vs evolving TT design, snapshot compare. Team API-style Markdown/YAML. FastAPI + HTML5 Canvas.
Decision frameworks, contradiction handling, and structure formation for AI systems and organizations.
Diagnosing when systems cannot move what they hold — propagation ratio, continuation capacity, and collapse dynamics.
SHAM (System Health & Architecture Monitor) is a framework for observing how software systems change over time by tracking risk introduced, system stability, recovery behavior, and surrounding context. It helps make structural health and invisible work visible as systems evolve under real-world constraints.
Companion repository to the article "AI Won't Save Your Org". A minimal, opinionated starter kit for the three things that actually predict AI success in organizations: knowledge (LLM Wiki pattern), evaluation, and governance. Markdown-first, stack-agnostic.
Simulates how information degrades, delays, escalates, or disappears inside complex organizations.
Case study and screenshots of an AI-enabled performance evaluation system for remote technical teams.
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