On-device LLM and hybrid routing
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On-device LLM and hybrid routing

Notes on DeepSleep

Live

Overview

Notes on splitting work between on-device inference and cloud models in a local-first sleep and mood app.

Released2025-09-27
StatusLive
Platforms—

Notes

Hybrid design

Several providers are bound to one routing path, with automatic fallback when one fails.

On device

Inference through llama.xcframework reduces network dependency. Sleep routines, mood logs, and presets stay in CoreData.

Usage rules

Tier-based limits and security gates keep usage predictable.