Abstract: A collaborative artificial intelligence platform enables real-time multi-user interaction through automatic generation of unique shareable sessions with granular permission controls. The system implements novel real-time prompt modification capabilities that allow users to update and refine AI processing tasks while they are actively executing, using sophisticated interrupt handling algorithms and state checkpointing mechanisms to preserve computational work. An intelligent task routing system monitors performance metrics of multiple AI agents and dynamically selects optimal agents based on empirical benchmarks and task characteristics. The platform organizes conversations into hierarchical threading structures with cross-thread context management, semantic analysis for conflict detection, and global context state maintenance.