{
  "id": 3686,
  "url": "https://arxiv.org/abs/2605.26870v1",
  "title": "Persistent AI Agents in Academic Research: A Single-Investigator Implementation Case Study",
  "summary": "Background: Large language models are typically evaluated as models, benchmarks, or short conversational episodes. Less is known about what happens when an agent is embedded persistently in a real academic research environment with durable memory, local files, external tools, scheduled routines, delegated roles, and explicit safety protocols. Methods: A structured self-observed implementation case study was conducted from January 31 to May 25, 2026. The unit of analysis was the persistent human-",
  "authors": "Anas H. Alzahrani",
  "category": "research",
  "topics": "agents-autonomy,environment,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-05-26T11:28:36.000Z",
  "fetched_at": "2026-07-14T16:30:27.608Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/3686",
  "original_url": "https://arxiv.org/abs/2605.26870v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}