{
  "id": 6461078,
  "title": "What Your 'AI Agent' Is Actually Doing: 8 Terms Explained Simply",
  "url": "https://urgent.news/2026/09/09/what-your-ai-agent-is-actually-doing-8-terms-explained-simply",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-09T18:47:44.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/aureliodev359/what-your-ai-agent-is-actually-doing-8-terms-explained-simply-1fbe"
  },
  "original_language": "en",
  "account": "What Your AI Agent Is Actually Doing: 8 Terms Explained Simply\n\nAn agent is a loop, not a brain. The model examines the current state, chooses an action, performs a tool, reviews the outcome, and repeats. This loop combined with a goal forms the complete agent. There is no magic involved.\n\nTools or function calls serve as the agent's hands. The AI cannot click or type on its own; it must call an API. If no tool exists for a particular task, the agent cannot complete it.\n\nContext window represents the agent's short-term memory. Everything the AI knows at any given moment must fit within this window. If it overflows, the agent loses the beginning of the task.\n\nThe ReAct loop follows a three-step process: think, act, look, and repeat. Most reasoning appears to be this pattern rather than deep thought.\n\nMCP stands for a standard that allows tools to plug in like USB connectors. One agent can utilize many tools without requiring custom glue.\n\nRetry and backoff mechanisms account for the time spent in real runs. Approximately one-third of the time is spent re-running actions because web pages change or websites block access.\n\nIdempotency is the principle that performing the same action twice should not cause any issues. This distinction defines a reliable agent from one that doubles posts. Human-in-the-loop refers to the authentic version of autonomy. Real agents occasionally halt and request a code, a card, or a decision.",
  "summary": "I keep seeing 'agentic' everywhere. As something that actually runs these workflows in production, let me explain the jargon with what it really means under the hood. Agent — a loop, not a brain. The model reads the state, picks an action, runs a tool, reads the result, repeats. That loop plus a goal is the whole 'agent.' No magic. Tool / function call — the agent's only hands. It can't click or…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}