The building blocks of an AI agent

The text provides an in-depth examination of the architecture and terminology surrounding AI agents, breaking down the complexity into five essential layers: the User/App Surface, Agent Framework, Tools and MCP Servers, LLM/Model, and Auth and Identity. It emphasizes the importance of understanding each layer's function, from where human interaction begins to where reasoning and decision-making occur, highlighting how each contributes to the overall functionality and security of AI agents. The text stresses the significance of the Human-in-the-Loop (HITL) design pattern, the role of agent frameworks in orchestrating tasks, the evolution from tools to skills for enhanced capabilities, and the necessity of robust authentication and authorization processes throughout the stack to ensure secure and effective operations. It underscores the need for a coherent vocabulary to navigate the evolving landscape and the integration of WorkOS solutions to address authentication challenges, ultimately advocating for a secure, well-architected approach from the outset to avoid retrofitting complexities later on.