GUIDES
FOLLOW A PRACTICAL PATH
Build your local AI studio with step-by-step guides for setup, tools, and creative workflows. Start with a focused task, work through the steps, and save a setup you can use again.
START WITH THE FOUNDATIONS
PREPARE YOUR SYSTEM
Before building a workflow, plan your hardware, install your core software, and understand how models use your system’s resources. The Foundation pages walk through these building blocks and help you make informed setup decisions.
BUILD YOUR FIRST SETUP
WORK THROUGH THE CORE STAGES
Use the Build page to move from a prepared system to a working local AI setup. Add a model runner, choose an interface, test a simple workflow, and record the settings that work before expanding.
CHOOSE A CREATIVE DIRECTION
EXPLORE THE STUDIOS
Choose a studio based on the work you want to do, from image and video generation to Blender, Unreal Engine, audio, development, and more. Each studio page introduces the components and workflow considerations that can help you plan your next steps.
LOOK UP A DETAIL
USE REFERENCE AS YOU WORK
When you encounter an unfamiliar term or a setup question, visit Reference for definitions and practical notes. Browse hardware, models and tools, glossary, compatibility, and troubleshooting entries to support the task you’re working through.
PRACTICAL WALKTHROUGHS
RUN YOUR FIRST LOCAL AI MODEL
Start a local AI conversation on Windows using Ollama and the Gemma 3 1B text model. Follow the installation steps, send your first prompts, and learn how to close and restart the session.
MODEL SELECTION
CHOOSE YOUR FIRST LOCAL AI MODEL
Find a local text model that fits your tasks and hardware. Learn what model names mean, what to check before downloading, and how to compare answer quality, speed, and memory use.
MEMORY & PERFORMANCE
CHECK YOUR LOCAL AI MEMORY USAGE
See where Ollama loads your model and monitor system RAM and GPU memory in Windows. Compare usage before loading, while loaded, and after stopping the model.