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A practical framework for designing loops that know when to run, when to stop, and what to hand off, without burning your token budget or babysitting every restart.
Two developers built agent loops last month.
One’s ran for six hours straight, touched dozens of files, and produced almost nothing usable.
The other’s never ran unattended, not even once, despite being called a “loop” from day one.
Neither had a broken agent.
**They shared the same blind spot: **neither one had decided, on purpose, what the loop was allowed to do without them standing over it.
That single decision, more than the model you pick or the clever prompt you write, is what separates a loop that works from one that quietly wastes your week.
In this article, you will understand how production-grade loops are built.
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