Agentic Loops for Knowledge Workers
This workshop session explores how agentic loops can enable AI to continuously work towards a measurable goal, moving beyond the limitations of prompt-by-prompt direction. The discussion covers structuring knowledge work tasks for self-checking agents, loop design, graph engineering, and enabling autonomous group operation.
This technique has the potential to significantly enhance productivity and autonomy in knowledge work by allowing AI systems to independently manage and complete complex tasks.