Notebook

Featured · AI

Where should an AI model run: cloud, edge, or device?

Choose an inference location from latency, privacy, connectivity, update, and cost constraints—not from a hardware trend.

2 Oct 2026 · 2 min read

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  AI2 Oct 2026

  RAG needs provenance, evaluation, and a way to abstain

  Retrieval-augmented generation is a data pipeline as much as a prompt pattern. Trust depends on what was retrieved, who could access it, and when the system should not answer.

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  AI2 Oct 2026

  Designing an API boundary for AI features

  A model should not become an untyped, over-privileged shortcut through your application. Put authorization, validation, and failure handling at the boundary.

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