AI Characters Can Drift Between Models; New Tools Aim for Consistency

AI personas or characters often change personality when users switch between different underlying language models or apps. This occurs because a character is typically defined by a prompt and a limited conversation history, which different models interpret uniquely. To combat this drift, developers suggest systems that maintain personality, carry user memories across platforms, simulate activity between chats, and avoid user lock-in. One company, 37Soul, has built a product implementing these principles, allowing a single character to work consistently across multiple AI services.