Agentic AI & Multi-Agent Systems
Master autonomous agent architectures, LangGraph stategraphs, Model Context Protocol (MCP), human-in-the-loop, and multi-agent coordination.
Agentic AI & Multi-Agent Systems
Master autonomous agent architectures, LangGraph stategraphs, Model Context Protocol (MCP), human-in-the-loop, and multi-agent coordination.
Agent Foundations & State Machines
Deconstructing workflows vs agents, statefulness, reasoning loops, and deterministic graph execution.
Workflows vs Autonomous Agents & ReAct Loops
A software workflow follows a predetermined path through deterministic tasks and LLM calls. An autonomous agent, in contrast, actively determines its execution route at runtime using an iterative cycle of Observation, Thought, and Action.
Model Context Protocol (MCP) Architecture
Model Context Protocol (MCP) is an open standard that decouples AI models from proprietary tool integrations, enabling secure, modular connections between LLM applications and data sources.