AI systems consist of essential components like workflow engines, AI agents, Large Language Models (LLMs), and MCP Servers.
Workflow engines orchestrate processes, while AI agents have specific roles such as gathering information, processing data, and performing tasks.
LLMs provide intelligence behind agents, understanding language, generating responses, and making decisions. Popular options include OpenAI GPT-4 and Anthropic Claude.
MCP Servers act as universal connectors, allowing AI to connect to various tools and services through a standard protocol like Model Context Protocol.