Anthropic has introduced observer agents, a feature designed to improve oversight in long-running AI tasks by pairing a monitoring agent with a primary worker agent. According to Ray Amjad, this approach enhances reliability and accountability, particularly in scenarios where precision and compliance are essential. Observer agents actively oversee worker agents, ensuring adherence to ethical guidelines, operational constraints and task objectives, while providing real-time feedback or halting tasks if necessary. Benefits include improved reliability, enhanced accountability and optimized resource usage, making them essential for high-stakes or resource-intensive operations. While offering significant advantages, observer agents come with trade-offs such as increased computational costs, requiring careful evaluation of their necessity based on task complexity and criticality.