Lots of comments about Raindrop's release yesterday. Here are my thoughts in response: - There's nothing in Raindrop's release that you can't already do with @trylatitude - This is not true the other way around, see Behaviors (main reason customers are onboarding into Latitude nowadays). - Latitude runs all its evaluations in a sandboxed scripting environment: you can freely combine code rules with semantic queries and llm judges in a single evaluation pass, that's the core strengh of our custom signals. - Latitude does not use sol xhigh to run llm judges (because it's a stupid idea), we run cost optimized classification models that are probably a bit more expensive than Raindrop's custom classifier but not enough to suppose a meaningful difference. - It's cool that they trained a custom classifier! We might do it, but it's not the current priority.

Back from my euromaxxing vacations, did we invent AGI already or do we still need observ? In any case, we've now made it super easy to track costs in your Latitude projects