Local AI Should Be the Standard

Indiscriminately relying on cloud APIs like OpenAI or Anthropic when building apps introduces threats to service stability and privacy, such as server outages, billing issues, and personal data leaks.

The Neural Engine in modern devices has powerful computing capability, yet it's often left idle. Tasks like Data Transformation—summarization, classification, extraction—don't require superhuman intelligence, so processing them on-device is far more efficient than routing them through an external server.

The iOS client of The Brutalist Report uses Apple's local model API to perform article summarization on-device. This fundamentally eliminates complex issues like server bypass, storing user logs, and data retention policies, building strong trust.

Developers in the Apple ecosystem can implement this through the FoundationModels framework.

• Use SystemLanguageModel and LanguageModelSession to run prompts locally.
• Beyond simple text responses, it's recommended to directly generate Structured Output using Swift's struct and @Generable.

Local AI delivers the strongest performance and trust not when the model is retrieving world knowledge, but when it is transforming data the user already owns.