analiza aiqbench

The article argues that the basic LLM-agent pattern (a model in a loop with tools and a sandbox) has become standard, and that the open problems are shifting to proactive, always-on agents. Those include deciding when an agent should notify users without overwhelming them, and handling memory over long horizons. The author concedes that LangChain and the industry lack general solutions for these yet, so readers should treat the piece as a map of unresolved design questions rather than a set of established practices.