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6 posts
← all postsAI in Smart Home, Part 5: A Home That Talks - A Voice Assistant with a Local LLM
The fifth part of the AI in smart home mini-series. We build a voice assistant on Home Assistant Assist with a local language model: the chain from wake word to speech synthesis, hardware choices, and an honest comparison with commercial assistants.
Building Your Own AI Agents: From Personal Assistant to Specialist Team
How to build your own AI agents: from a single personal assistant to a team of specialized agents. A practical take on design, roles, and coordination, without magical thinking.
AI in Everyday Life: LLMs as Board Game Assistants
An LLM can be a very practical helper during board games: explaining rules, resolving ambiguities, searching rulebooks, creating turn summaries, and keeping house rules consistent. The condition is simple: treat it as an assistant, not an infallible judge.
Open WebUI - a ChatGPT-like frontend for your local LLM
Local Ollama only gives you a CLI. LM Studio is single-user. Open WebUI is the missing piece: a ChatGPT-like UI with RAG, web search and tools - running in one Docker command.
Local LLM models in 2026 - what actually runs on a Mac mini M4 16 GB
A review of the current models worth pulling onto 16 GB unified memory: gpt-oss-20b, Gemma 4 e4b, Qwen3-Coder, Phi-4. What works, what doesn't, and why.
Mac mini M4 16 GB as a local LLM workstation - LM Studio vs Ollama
Does the cheapest M4 Mac make sense as a machine for local language models? Hardware reality check, LM Studio vs Ollama comparison, and where the sanity line is.