Why does no one measure prompt velocity

Been messing with LangSmith playground recently. Pains me to say but it’s actually been a pretty good experience so far.

super interesting how it makes "decisions", but nice that they let you tie user feedback directly into LLM refinement, otherwise would be hard to make that info useful

I'm curious about LangSmith's 'dynamic datasets'. How does it ensure data integrity, especially when rapidly iterating on AI models?

Love the concept of prompt velocity. Although it doesn't capture the initial quality of the prompt or whether the changes are effective.

What’s LangSmith's revenue model?