{
  "dataset": "glossary",
  "record": {
    "id": "agentic-loop",
    "term": "Agentic Loop",
    "category": "core",
    "short_def": "The observe-decide-act-observe cycle an agent repeats until its task is complete.",
    "long_def": "Each turn the agent reads the current state, decides on the next action (often a tool call), takes it, and incorporates the result. The loop ends when the goal is reached, a budget is exhausted, or the agent asks for input.",
    "see_also": [
      "ai-agent",
      "tool-use"
    ],
    "etymology_origin": {
      "value": null,
      "verify_status": "verify-against-primary-at-build",
      "source_hint": "https://en.wikipedia.org/wiki/OODA_loop — the agentic loop generalises the perception-action cycle (and Boyd's OODA loop, 1976); no single coiner for the LLM-agent sense"
    },
    "related_to": [
      "ai-agent",
      "tool-use",
      "agent-experience"
    ],
    "contrast_with": "Unlike a single prompt-and-response, the agentic loop repeats — each tool result feeds the next decision — until a goal, budget or human checkpoint stops it.",
    "example": "An agent debugging code runs an agentic loop: read error, edit file, run tests, read result, repeat — iterating until the tests pass.",
    "source": "https://en.wikipedia.org/wiki/OODA_loop",
    "status": "active",
    "why_it_matters": "The agentic loop explains why agents fetch a page multiple times and why clear, stateful, machine-readable responses (not one-shot HTML) make a site agent-friendly.",
    "sameAs": [],
    "bridge_entity": "agentic-web",
    "last_verified": "2026-06-15",
    "md_twin": "/glossary/agentic-loop.md"
  }
}