{
  "id": 9243505,
  "title": "FIRE: Failure-Informed Runtime Engineering for Reliable Language-Model Agents",
  "url": "https://urgent.news/2026/09/22/fire-failure-informed-runtime-engineering-for-reliable-language-model",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T11:50:35.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26048v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Language-model agents often reach a working solution and then fail to consistently deliver it. We study runtime policies: targeted natural-language instructions and action denials applied by the agent harness at states that preceded observed failures, without changing model weights or the user prompt. With this, keeping capability constant, we observe a meaningful unlock in delivered reliability.…",
  "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."
}