arXiv cs.CLPaper
CORAL: An LLM-Native Harness for Production Recommender Systems
This is a real systems pattern: LLM agents closing loops on production infrastructure and learning from live outcomes. It's not new conceptually, but the fact that Google is shipping this at scale on recommendations signals that agentic optimization is moving from experiment to standard operations. If you're building recommender systems, this is a signal to start thinking about LLM-driven tuning loops.