The latest news, engineering deep dives, and tutorials from the Pipelines team.
Every team is integrating AI. Almost none have a structured way to experiment before they ship. Eval tools either score production traces after the fact or test a handful of examples in a playground. Neither is experimentation.
Everyone agrees AI needs better evaluation. But what does that mean in practice? Here's the anatomy of an evaluation system designed for reproducibility, not just vibes.
Your team made a hundred model and prompt decisions in the last six months. How many can you defend with data? Rigor isn't about slowing down -- it's about building a foundation your team can actually stand on.