Tiny LLMs are making on-device agents much more practical. In this workshop, Cormac Brick walks through how LiteRT-LM brings language models to edge devices, with a focus on Gemma, agent skills, and the real engineering tradeoffs behind running LLM workflows on phones and other constrained hardware. The session covers performance across edge devices, on-device function calling, fine-tuning and deployment, platform support across Android and iOS, and the memory, safety, and UX constraints that shape edge-native AI systems. If you're building local agents or want a practical look at where edge LLMs are headed, this is a useful hands-on overview.