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Full post w/ Questionnaire:
https://natesnewsletter.substack.com/p/ai-loop-managers?r=1z4sm5&utm_campaign=post&utm_medium=web&showWelcomeOnShare=true
AI agents get useful when you stop prompting one task at a time and start building loops. A loop is a recurring job that remembers, notices what changed, and stops where your judgment matters.
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What’s really happening when AI moves from one-off prompts to agents that manage the recurring work in your life? The common story is that better prompting is the path to better AI. But the real question is which recurring jobs you can hand to a loop, and where that loop should stop.
In this video, I share the inside scoop on the loop of loops idea and how to spot your first one:
– Why a prompt, a loop, and a loop of loops are different
– How recurring jobs notice each other and hand off what changed
– What makes an agent safe enough to actually trust
– Where a loop should stop and ask for you
Loops can lift real mental load off your week, but only if you give each one clear boundaries and let it stop where your judgment still matters.
Chapters:
00:00 Why a week feels heavier than it should
01:31 Prompt vs loop vs loop of loops
02:17 Agents are loop managers
03:03 A loop of loops handles the school trip
04:06 Why apps left the hard part to you
05:04 Spotting the loops in your own life
06:33 Starting simple with sales and research loops
08:57 The boring loops: kids clothes and spinach
10:39 This is not about never asking
11:35 The questions that define a good loop
12:40 Loops of loops as a control pattern
13:49 The Friday build and a safe first project
Listen to this video as a podcast.
– Spotify: https://open.spotify.com/show/0gkFdjd1wptEKJKLu9LbZ4
– Apple Podcasts: https://podcasts.apple.com/us/podcast/ai-news-strategy-daily-with-nate-b-jones/id1877109372
