AI Agent Architectures
ReAct, Chain-of-Thought, tool-use, and the reasoning patterns enabling autonomous business
Research
Core Definitions
Defining autonomous business, business emergence, agentic AI, DAOs, and emergent organizations
Introduction
Research abstract, key definitions, and the emergence spectrum framework
Research Overview
Deep research on autonomous businesses, emergent organizations, and agentic business models
Governance of Autonomous Companies
How should emergent businesses be governed?
AI Agents: Anatomy and Cognition
Perception, reasoning, planning, action, and memory -- the cognitive architecture of agents that can run businesses
Scope and Thesis
Research thesis and scope: why autonomous businesses matter now
Impact on traditional business models
Relevance and potential impact on traditional business models
The Emergence Spectrum
A framework for evaluating autonomous business claims: Theater, Illusion, and Emergence
Multi-Agent Systems
How orchestration frameworks like CrewAI, AutoGen, and LangGraph enable division of labor among AI agents — and what this means for autonomous business operations.
Organisation Models
Legal structures for autonomous businesses — DAOs, zero-member LLCs, network states, and the jurisdictions racing to accommodate AI-operated entities.
Interoperability Protocols
A2A, MCP, ACP, and x402: the protocol stack enabling agent collaboration and autonomous business ecosystems
Blockchain and AI Convergence
Agent identity, AI-executable smart contracts, DeFAI, and blockchain as trustless infrastructure for autonomous business
Case Studies
Deep-dive analyses of AI business emergence and forensic research outputs
Case Studies
Deep-dive analyses of AI business emergence and forensic research outputs