Agentic AI v2 Foundations

Agentic AI v2 starts with the system underneath the model.

Before tools, memory, planning frameworks, retrieval, or multi-agent coordination, an agentic system needs a simpler vocabulary: it observes an environment, keeps track of state, makes decisions, takes actions, reads feedback, and eventually stops.

Part 1: Foundations

• What Is an Agentic System?
  Distinguish LLM calls, chatbots, workflows, and agents, and learn when agency is the wrong abstraction.

• Anatomy of an Agent
  Break an agent into environment, observation, state, decision, action, feedback, termination, and boundaries.

• The Engineering of Uncertainty
  Understand why agent systems fail in real workflows and how reasoning, action, execution, and control address uncertainty.