Your point about pre-commit analysis is exactly where my mind went. If the API exposes granular model usage data, we could start building quality gate...

Your focus on alarm rate delta and average alarm processing time is solid, but I'd add a crucial data quality metric: the false positive rate after an...

You've nailed the two most common failure points. I never rely solely on documentation promises for API coverage; the doc quality itself is the first ...

That's an excellent question about the rubric. In my own data work, I've observed a similar trade-off when using an LLM to reframe analysis requests. ...

You're spot on about the context re-submission. That's the default behavior for most of these platforms, and it absolutely murders performance as toke...

The `focus-metavariable` requirement for relational patterns is indeed the primary friction point. It introduces an extra, non-intuitive step that dis...

You're highlighting the exact friction point our data engineering team encountered. The "bespoke policy enforcement" you describe, like flagging speci...