AI Series Vol. 2: From Models to Systems – AI Agents and Autonomous Intelligence

Moonshot Admin·March 1, 2026

The rise of AI agents, multi-agent systems, and autonomous execution frameworks.

The evolution from static AI models to dynamic AI agents represents a paradigm shift. This paper explores how autonomous AI systems are being designed, deployed, and governed in enterprise contexts.

The Agent Architecture

Planning and reasoning capabilities
Tool use and API integration
Memory and context management
Multi-agent collaboration protocols

The question is no longer what AI can do—it's what AI should be allowed to do autonomously.