In 30 seconds
Theo describes an agent that wrote 240 lines of disposable code to run a workflow once. He sees it as an example of models generating code to coordinate further prompts, while leaving open whether the usage cost is worthwhile for everyone.
- 1Code between runsThe agent wrote 240 lines of disposable code to trigger a workflow once.
- 2A loop in practiceTheo sees the example as an agent using its own code to coordinate further prompts.
- 3Consider usageHe leaves the decision to use it open while encouraging viewers to study what the technique enables.
Takeaways
- Code can act as a temporary step between model runs.
- An agent can write a one-off script to trigger a workflow.
- The approach can consume substantial usage, so Theo suggests learning from the example before deciding whether to use it.
Read the edited text by chapter
A disposable workflow script
Theo describes 240 lines of code written to run once. The script serves as a step between model runs.
Code can be a step between model runs. In this example, the agent wrote 240 lines of throwaway code that will only execute once to trigger a workflow. When people talk about agent loops and letting an agent prompt itself, this is a striking example.
What agent loops enable
The example prompts Theo to rethink how agents can write code to prompt themselves. He also raises the question of usage cost.
Should you use this yourself and burn through your usage? Maybe. At the very least, look at it and learn from it: letting models write their own code to drive additional prompts can unlock powerful workflows. It has made me think more deeply about how I use these tools.
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