1. How a this better than just using any other script language?

2. Inventing a new language complicates large models ability to generate such scrips compared to a well-known language. Did you find it to be a problem? How did you mitigate?

3. The AI is showing. :) I had the similar discussion with ChapGPT and some phrasing is near the same. Not a dig, just a funny observation.

4. Consider the recursive nature of the problem you’re solving - large model updates workflow which you review each time, worker models generate plans and tool calls which you don’t review. A constrained language is useful in both cases to guide the model.

5. This Earlier discussion can provide useful background for why this is needed. You have probably seen it, but the readers will likely appreciate. https://news.ycombinator.com/item?id=48051562

The problem is real, Thank you for taking a stab and sharing your findings.

It seems like you’re dramatically overcomplicating what could be a 2 bash scripts and a single LLM call. Natural language and LLMs are great for searching the problem space to find a solution, once you find the solution, shrink the stochastic parts (the MD saying “check GitHub” or whatever) and grow the deterministic parts (a bash script) as much as possible.

In Brave, on stock Google Pixel 10, guard enabled, docs site layout is broken.

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