Agentic Loops for Knowledge Workers

Throughout the summer, one of the hot topics among advanced AI users has been the idea of loops or loop engineering. Simply put, the concept is to think about the way that we interact with AI, not as prompting it and telling it what to do, but to setting up the circumstances where the AI or agent can loop over and over again, working to complete a specific task with a measurable output that it can check itself agains

It goes beyond the title with direct discussion of work, that's, loop, including: Simply put, the concept is to think about the way that we interact with AI, not as prompting it and telling it what to do, but to setting up the circumstances where the AI or agent.

1. 01Simply put, the concept is to think about the way that we interact with AI, not as prompting it and telling it what to do, but to setting up the circumstances where the AI or agent
2. 02Moving loops into knowledge work domains, where sometimes success is less definable, is more of a challenge, but it's not impossible if you have the right tools to design your know
3. 03First of all, thank you to today's sponsors, KPMG, Blitzy, Harbor, and HyperAgent