Run AI on your own machine.
Pick a track, copy a command, you're running. Every guide ships with the exact ollama run line you need.
Install something, run your first model, and use it for real work.
- Complete Beginner's Guide to Local AI
- Installing Ollama
- Choosing the Right LLM
- Chatbot Web Apps
- Ollama vs LM Studio vs Jan
- Inference Engines Compared
- Personal Productivity with LLMs
- Using LLMs for Learning
- Local LLM for Email & Writing
- System Prompts & Personas 101
- Move Your Setup to a New Computer
- Run LLMs on Your Phone
- LM Studio on Your Phone (LM Link)
- Open WebUI + Ollama Setup
What to buy, what fits in the memory you have, and what it costs to run.
- VRAM Requirements Guide
- Best Local LLM by VRAM Tier
- Best GPU Buyer's Guide 2026
- RTX 5090 vs RTX 4090 for Local AI
- Buying a Used GPU for Local AI
- PC Build Guide: $500–$2,000
- Mini PC for Local AI
- Best Mac for Local LLMs
- Running on Laptops & Raspberry Pi
- Multi-GPU Inference: Worth It?
- Benchmark Your Setup Reproducibly
- Electricity Cost of Running LLMs 24/7
- Local AI vs Cloud: Cost Analysis
- Cloud GPU Rental Guide
- How to Use RunPod
- How to Use Vast.ai
Choosing quants, understanding context windows, and converting weights.
Teaching a model your task — when it beats prompting, and on what data.
Giving a model your documents, your tools, and the run of a task. Dedicated coding agents have their own hub below.
Self-hosting, serving at scale, and the case for keeping data on your own machines.
Jev-style System One models answer typed questions with a probability per option instead of text. What runs locally, on what hardware, and how to set it up.
Paste the error you are seeing. Grouped by operating system, because that is what decides the fix.