{
  "id": 41569,
  "title": "Why AI Agents Need Database Triggers, Not Just Prompts",
  "url": "https://urgent.news/2026/08/02/why-ai-agents-need-database-triggers-not-just-prompts",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-02T12:05:40.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/shiv_s_hankar/why-ai-agents-need-database-triggers-not-just-prompts-1igi"
  },
  "original_language": "en",
  "account": null,
  "summary": "Why AI Agents Need Database Triggers, Not Just Prompts When a fact changes, prompting the LLM to 'forget' it is unreliable. Instead, use database triggers to automatically close temporal boundaries ( valid_to = NOW() ) on superseded facts. Let the DB handle state coherence.",
  "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."
}