Prompt Loops, Not Individual Instructions
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Code is a step between model runs. It Code is a step between model runs. It wrote 240 lines of code that is entirely wrote 240 lines of code that is entirely wrote 240 lines of code that is entirely throwaway, that is only going to be throwaway, that is only going to be throwaway, that is only going to be executed ever once to trigger this executed ever once to trigger this executed ever once to trigger this workflow. When you see everybody talking workflow. When you see everybody talking workflow. When you see everybody talking about agent loops and letting the agent about agent loops and letting the agent about agent loops and letting the agent prompt itself, this is a phenomenal prompt itself, this is a phenomenal prompt itself, this is a phenomenal example of it. Should you go use this example of it. Should you go use this example of it. Should you go use this and burn all of your usage yourself? and burn all of your usage yourself? and burn all of your usage yourself? Maybe. But at the very least, you should Maybe. But at the very least, you should Maybe. But at the very least, you should look at this and learn from it, look at this and learn from it, look at this and learn from it, realizing that this is where you get realizing that this is where you get realizing that this is where you get really crazy powers with models when you really crazy powers with models when you really crazy powers with models when you let them write their own code to do let them write their own code to do let them write their own code to do additional sub prompting. And it's got additional sub prompting. And it's got additional sub prompting. And it's got me thinking a lot more deeply about how me thinking a lot more deeply about how me thinking a lot more deeply about how to use these things as well, if I'm to use these things as well, if I'm to use these things as well, if I'm being honest with y'all.
Summary
The main theme is the power of AI models writing their own throwaway code for workflow execution, exemplified by agent loops and self-prompting. This involves learning from and potentially adopting this technique of letting models generate code for sub-prompting to unlock advanced capabilities. The practical takeaway is that this approach offers significant power when models write their own code for additional steps, encouraging deeper consideration of its application.