The Model Got Smarter, But The System Didn’t

AI assistants' accuracy depends not just on the underlying models but critically on the systems built around them, including data retrieval and memory management. Failures often stem from outdated or mismanaged information, not the model itself. Studies show that system design flaws can cause AI to rely on obsolete policies, highlighting the importance of robust information architecture.