Loops (cycles) in this channel On this channel, loops (cycles) describes how AI-assisted work actually gets done: not as a single prompt with a single answer, but as a repeating cycle of acting on the AI's output, reviewing it, and feeding the result back in until the task is complete. The term is introduced to contrast with the older mental model of one-off prompts — the idea that interacting with an AI model is a discrete, question-and-answer exchange [^9a401cc8@0]. Why the term matters here In the channel's material, the shift from prompts to loops is framed as reshaping knowledge work itself. Instead of delegating one isolated request, the person working with an AI (for example, managing an AI tool as a kind of employee) stays engaged across iterations: they direct the work, inspect what comes back, and keep the cycle turning. That framing is what the episode uses to help viewers explore what hands-on building with tools like Codex looks like day to day [^9a401cc8@0]. - Loops (cycles) means iterative, repeated interactions with AI rather than one-off prompts.- The term is presented as a change in how knowledge work is done, not just a coding technique.- The channel grounds the idea in real daily usage, such as managing an AI employee with Codex.