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Agentic Loops for Knowledge Workers
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About this episode
In this episode, NLW and Nufar Gaspar explain how knowledge workers can move beyond one-shot prompting and use agentic loops to produce more complete, reliable work. They break down how to design verifiable finish lines, decide which tasks should be looped, prevent runaway costs and compose multiple agents into work graphs that can research, review and refine outputs autonomously. NEXT COHORT - Executive Agent Leadership - Returns in September -- Learn how to use agents - https://training.besuper.ai/ Brought to you by: KPMG – Research from KPMG and the University of Texas at Austin shows the highest-impact AI users treat AI like a reasoning partner — and those skills…