The bakery example is interesting, because it's presented as "both sides have been working on this thing and think they should get 50%"... and then the _solution_ is "A path back to 50% for Daniel" -- who gets an objectively worse deal than his disputant.

It's definitely an interesting application of LLMs, the output text to me reads very GPT-ey, with the punctuated and concise phrasing.