Chapter 7 · AI Agent System
Agent is the execution layer in the formal task system, not the "fully automated employee" in marketing terms.
WCN's Agent is not an AutoGPT-style autonomous agent, but a controlled execution layer embedded in human-led workflow: it has task orders, authority domains, full-link logs, and settlement interfaces. This chapter explains its industrial positioning, type division of labor, life cycle management and conditions for entering PoB.
7.1 Why Agent is importantPositioning relative to CrewAI / LangChain Agent / Copilot / AutoGPT; LLM capabilities and limitations; TradFi precedent and the formal execution layer of WCN.7.2 Agent typeResearch / Deal / Growth / Execution / Liquidity Accurate mapping of five types of roles and permissions, logs, and settlement.7.3 Agent life cycleRegistration, authorization, operation, review, upgrade, suspension, exit; benchmarking model governance and third-party audit requirements.7.4 Boundaries of AgentLiteracy, approval, funding and legal red lines; a risk framework for hallucinations, data breaches and overreaching commitments.7.5 How does Agent enter the business closed loop?Concrete workflow and acceptance conditions from task dispatch to human adoption, Proof, and PoB.
A common misunderstanding in the industry is that "Agent" is equated with "a robot that surfs the Internet, places orders, and signs by itself." WCN does the opposite: Agents only perform authorized, replayable, and brakeable actions, and ultimately commitments and funds still fall on the governance chain of nodes and people.