# Learning Loops With Pavel (Glaringly Obvious)

**URL:** <https://forum.zurb.com/t/learning-loops-with-pavel-glaringly-obvious/252>\
**Category:** Open topics\
**Created:** [September 27, 2025, 1:39pm UTC](https://forum.zurb.com/t/learning-loops-with-pavel-glaringly-obvious/252 "2025-09-27T13:39:55Z")\
**Posts on this page:** 1\
**Showing post:** 10

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**Author:** ![Bryan](https://yyz2.discourse-cdn.com/flex034/user_avatar/forum.zurb.com/bryan/32/448_2.png) [@Bryan](https://forum.zurb.com/u/Bryan)\
**Post date:** [November 10, 2025, 1:59pm UTC](https://forum.zurb.com/t/learning-loops-with-pavel-glaringly-obvious/252/10 "2025-11-10T13:59:17Z")

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Learning loops align with the idea of evaluation loops with humans. @ben’s post on this is an interesting breakdown on what goes on in each loop!

> [@The Five Levers of Building AI Products](https://forum.zurb.com/t/the-five-levers-of-building-ai-products/349):
>
> Over the last several months building AI tools, I’ve realized teams have a handful of distinct “levers” to shape performance — and knowing which lever to pull first is half the art. After formulating this, I had AI sketch out a simple diagram to help communicate this (kind of funny, honestly. it did it in text!) Top = Fast iteration (prompts, UI tweaks) Bottom = Deep changes (fine‑tuning, architectu…

 ![image](https://canada1.discourse-cdn.com/flex034/uploads/helio/original/1X/99d1a72ed9c1f04e7176f1bc91e3c508bdfe9d40.png)

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