sadly, I think we are stuck with JSON as the most reliable way to get data / code in and out of an LLM (could be worse, could be YAML) … I’m interested in custom DSLs that improve LLM predictability and it is quite nice to see that even the Microsoft dinosaur “gets it” … see the Contacts example at https://slangify.org/examples which does VCARD to JCARD round tripping as a way to easily roll your own DSL

I felt conflicted as well, json is portable and easy to parse / validate and edit. But many models do still struggle. There are some stuff from functional programming might be worth bringing back here.