Build an Offline AI Stack That Works When Your WiFi Doesn't

Every travel day without an offline AI stack costs you deadlines and forces you to pay for cloud APIs you can't reach. This episode builds the fix: a portable system that runs summarization, transcription, and tagging locally on your laptop, queues everything to SQLite, and syncs when you're back online. Santi and Kira walk through the complete architecture - from LM Studio and whisper.cpp to battery management profiles and sync conflict policies. You'll learn which tasks to run locally versus defer to the cloud, how to set up file watchers and background workers, and why SQLite with Litestream creates the most reliable offline-first workflow. Plus: the exact hardware requirements, encryption setup, and weekend implementation plan that turns any laptop into a self-contained AI workstation.