Current AI agents are "reactionary." They respond to tokens quickly but fail at multi-step planning and self-correction. For production-level tasks like security audits, you need agents that can "think" for minutes, not milliseconds.
Sentient is our framework for Slow Intelligence. It utilizes Chain-of-Thought (CoT) and multi-agent debate to verify conclusions before shipping code or reports. By prioritizing factuality over speed, we've achieved 95% accuracy in complex task execution.