LM Studio
Can a Local Coding Model Run an Agent? Test Tools, Patches, and Safety
Use a disposable repository to test a self-hosted coding model's API, tool calls, patch quality, refusal boundaries, and rollback before giving it real code.
Is Your Self-Hosted AI Actually Private? Audit Every Data Path
A practical audit for local AI prompts, cloud model selection, web and vision sidecars, exposed APIs, logs, and backups before sensitive data enters the system.
Ollama vs llama.cpp vs LM Studio vs Lemonade: Test the Runtime, Not the Logo
A local-AI runtime comparison framework for Ollama, llama.cpp, LM Studio, and Lemonade: hardware fit, context, APIs, concurrency, privacy, and evidence.
Choosing the Right Local AI Model: Gemma, Qwen, Llama, Mistral, DeepSeek, Nemotron
New to local AI? This beginner-friendly guide explains how to choose between popular open-weight model families like Gemma, Qwen, Llama, Mistral, DeepSeek, and Nemotron for your homelab.
Local AI Is Finally Useful: What Should You Run First?
A practical local AI starter guide for Ollama, LM Studio, Open WebUI, embeddings, structured output, private notes, and first useful workflows.