Blog
Notes from the on-device frontier.
Technical deep-dives into on-device AI, edge inference, and building ML-powered applications that run anywhere.
On-Device AI: The Complete Guide to Running ML Models Locally
Everything you need to know about running machine learning models directly on mobile and desktop devices — privacy, latency, cost benefits, and how to get started.
Add Text-to-Speech to Your Flutter App in 15 Minutes
A step-by-step guide to adding high-quality, on-device TTS to a Flutter app using Xybrid and the Kokoro model. No cloud APIs, no API keys, no per-request costs.
Edge AI vs Cloud AI: When to Run Models On-Device
A practical decision framework for choosing between on-device and cloud-based AI inference, with cost analysis, comparison tables, and real-world use cases.
Building a Voice Agent That Runs Entirely On-Device
A step-by-step tutorial for building an on-device voice agent using Whisper, a local LLM, and Kokoro TTS — no cloud APIs, no internet required.