Would love to exchange notes on this if you're up for it! For louie.ai, we've been going for data-aware from the get-go, and more broadly, doing a LLM-first to

Would love to exchange notes on this if you're up for it! For louie.ai, we've been going for data-aware from the get-go, and more broadly, doing a LLM-first tool design rethink. In the large, as I look around, it feels super early for the dev community figuring out core genAI notebook tool uses, flows, & assumptions. Likewise, zooming-in on individual feature experiments, current tools feel rough & underpowered relative to what we already know is possible. We've been forced to question a lot as we've been learning from going operational and experimenting with design. Again, if up for it, would love to chat & exchange notes!