Local AI
Open-weight and open-source models and the tools that run them, tested on our own machine: how fast they run, how much memory they need, what they send home and what they cost to run against paying for a cloud service.
Local AIWhat the Ollama MLX shift means for local AI on Mac
Ollama is moving toward MLX on Apple Silicon. What the shift changes for speed, memory and model choice, and whether…
assistantOpenClaw with a local model: a private AI assistant
Run OpenClaw with a local model and keep a persistent AI assistant on your own machine. Onboarding, memory, tools, and…
comfyuiComfyUI with local LLMs: a practical Mac workflow
Wire local LLMs into ComfyUI to write better prompts. The nodes, the model, the memory cost on a Mac, and…
Local AIHow we built our local AI stack at Stridenote
The local AI stack we run at StrideNote on an M4 Pro: the models, the server, the agents, and the…
benchmarksBest Local LLMs for Coding on a Mac in 2026: Benchmarked and Ranked
We benchmarked and ranked the best local LLMs for coding on a Mac in 2026, on real refactors, with speed,…
cloud-aiPrivacy-first coding: why you should run AI agents entirely offline
Your config files hold keys and endpoints. Here is why we run AI agents offline, what a cloud agent can…
coding-agentsOpenCode with a local model: set up an offline AI coding agent
Point OpenCode at a local model and code with no internet and no API key. The setup, the config, and…
apple-siliconLTX-Video on ComfyUI: Local AI Video on Apple Silicon
We ran LTX-Video on ComfyUI on Apple Silicon for hours. What the local AI video model actually delivers on consumer…
OpinionAI subscription costs: how per-seat pricing eats your margin
For a person, an AI subscription cost is an annoyance. For a business it is structural, growing with every hire,…
OpinionThree checks before adopting any AI tool
New AI tools arrive every week and most are not worth your time. The three checks we run when evaluating…