You already wrote the prompt, no? What I'd do, if I were you, is run the question through a LLM and then come back with targeted questions that it didn't answer.

I did the first part yesterday, jumped down the rabbit hole, and have 3 product ideas in my head now.

"Why is Jev fundamentally better than classification models like BERT or traditional ML?"

Please see my other reply, I was not exaggerating when I said this feels like asking why ChatGPT is different than a Markov Chain.

You're going to post-train 100s of instances of BERT? Traditional ML had world knowledge more than a fart?

The closest/fairest comparison is still an LLM, but no one has actually chucked enough compute at post-training to make a better Jev yet.

I'm sure in more time that'll happen, and so my excitement is expanded to Jev-like things... but so far most Jev like things are this weirdly reactionary attempts to steal thunder: is it so bad if we have some team actually invest in a quality post-training receipe to compete?