And is that done consciously? Or is it just a new name on an old trick? 🧐
Please excuse my wandering self, but, from what I can tell, loop engineering is the practice of building a system that runs an AI agent repeatedly until a task is complete.
No human in the middle, just the loop doing its thing (looping around ☆ω☆) until it's baked and ready.
Also from what I’ve seen, the results depend entirely on what you point it at.
Some have tried it, hit a wall, and gone back to just staying involved themselves. Agents drifting off-task and costs creeping… sounds like a valid reason to walk away.
But others seem to get real use out of it, mostly on specific and repeatable tasks. Routine alerts, scheduled checks, the overnight supervision nobody wants to do manually. That kind of thing.
The pattern seems pretty consistent: loops work when the task is narrow and well-defined. Give it something too broad or ambiguous and it'll probably wander.
We put out a short video on this recently if you want a more concrete look at where it tends to hold up.
Anywhooo 🤷🏽♀️… what's your take on all these new "engineerings"? Feels like a new one drops every few weeks. I'll try to reflect a bit more on this for next week.
See you around!
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