Agents 101: Reasoning, Actions & Autonomy

This post originally appeared on tokenjam.dev/blog . It's part of a 14-post series on the agentic AI basics and ecosystem. TL;DR An AI agent uses an LLM to reason about a goal and decide what actions to take, calling tools and observing results until the goal is reached Agents differ fundamentally from chatbots (which don't act) and workflows (which don't decide) The ReAct pattern (reasoning + acting) is the dominant architecture in modern agent systems Agents range from copilots that suggest ac