Two refinements to the NeighborhoodCoherence judge from part two: pass the metric name straight to ModelJudgeEvaluator to drop the ScoreDimension boilerplate, and shape what the judge actually reads with evaluationTarget and reference.
Code-based evaluators can only measure what code can measure. This companion article goes deep on ModelJudgeEvaluator: choosing a scoring scale, writing scoring levels that actually work, and wiring a model-as-judge into the TripPlanner evaluation from part one.
How to test generative, non-deterministic features with Apple’s Evaluations framework, the five steps of an evaluation, datasets and the Loader protocol, synthetic sample generation, evaluators and metrics, and the compiler gotchas hit along the way.
Swift Academy Podcast, Episode 10, Season 2 Beyond the Prompt: Foundation Models as an Architectural Layer in iOS Mohammad Azam on why Apple’s on-device LLM is less an AI feature and more a redefinition of where intelligence lives in your app, @Generable, @Guide, instructions, tools, and adapter-based fine-tuning, viewed through the lens of iOS layered architecture. May 3, 2026 🎧 Swift Academy Podcast · Episode 10, Season 2 · Foundation Models • On-Device LLM • iOS Architecture “Foundation Models is not a chat surface. It is a typed, on-device, structured capability you wire into your architecture, the way you wire in URLSession or SwiftData. Treat it like a chatbot and you will build bad apps. Treat it like a layer and you will build defensible ones.” ...