{
  "id": 3039,
  "url": "https://arxiv.org/abs/2607.10531v1",
  "title": "Motif: Discovering and Automating Personal Web Workflows",
  "summary": "Recent advances in LLMs and existing work on programming by demonstration have made it possible for end users to create automations by explicitly demonstrating their behavior to LLMs. However, these approaches rely on the assumption that users know what to automate and what is capable of being automated. Additionally, automation via LLM agents is often expensive compared with programs. We introduce Motif, a system that passively observes everyday browser activity to discover recurring interactio",
  "authors": "Shaokang Jiang, Daye Nam",
  "category": "research",
  "topics": "jobs-economy,agents-autonomy",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-12T01:49:32.000Z",
  "fetched_at": "2026-07-14T16:11:46.979Z",
  "source_slug": "x-arxiv-cs-hc",
  "source_name": "arXiv cs.HC",
  "source_homepage": "https://arxiv.org/list/cs.HC/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/3039",
  "original_url": "https://arxiv.org/abs/2607.10531v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}