TOOLS


Choose the software and connections that make your local AI studio work.

From model runners and creative interfaces to automation and integrations, this is where you’ll find the tools for building a setup that fits your workflow.

MODEL RUNNERS

RUN LOCAL MODELS ON YOUR OWN HARDWARE

A model runner loads an AI model and makes it available to your apps and workflows. Start with one that supports the models you want to use and fits your hardware, then expand your setup as your needs become clearer.

INTERFACES

CHOOSE HOW YOU WORK WITH YOUR MODELS

Interfaces give you a place to chat, generate images, build workflows, or manage results. Pick one that makes your most common task easy, then add specialized interfaces when a studio needs more control.

AUTOMATION TOOLS

CONNECT THE STEPS IN YOUR WORKFLOW

Automation tools pass information between models, apps, and files so repeated tasks take less manual work. Begin with a small workflow you can inspect and rerun, such as sending a prompt to a model and saving its output to a chosen folder.

MCP & INTEGRATIONS

GIVE YOUR MODELS ACCESS TO USEFUL TOOLS

Integrations let a model work with resources such as files, creative apps, and other services. MCP provides a common way to connect many of these tools. Add one connection at a time and check what it can access before using it in a larger workflow.

CREATIVE TOOLS

BRING AI INTO YOUR EXISTING WORKFLOW

Image, video, audio, Blender, and Unreal Engine tools can turn model output into work you can edit and use. Choose tools that fit the studio you’re building, and keep your original project files so you can revise the result later.

FILE AND PROJECT ORGANIZATION

KEEP YOUR WORK EASY TO FIND AND REUSE

Models, inputs, outputs, and project files accumulate quickly. Set up clear folders and names early so you can find the right version, trace how a result was made, and move assets between studios.

CHOOSE TOOLS BY TASK

BUILD A SMALL, USEFUL STACK FIRST

Start with the task you want to complete, then choose the model runner, interface, and supporting tools it needs. Try that combination in a real workflow before adding more software. This gives you a working starting point and makes gaps easier to spot.

CHECK COMPATIBILITY

MAKE SURE THE PIECES WORK TOGETHER

Before installing a tool, check its operating system support, hardware requirements, model formats, and connections to the apps you use. Version requirements can change, so verify them in the tool’s current documentation when you’re ready to install it.

INSTALL IN LAYERS

GET ONE WORKFLOW RUNNING BEFORE EXPANDING

Install your model runner first, then an interface for your initial task. Test a model and save a result before adding automation or creative integrations. Each working layer gives you a clear place to start if something later needs troubleshooting.

MAINTAIN YOUR SETUP

KEEP TRACK OF WHAT WORKS

Record the tools and versions in each working setup, along with any settings you changed. Update one component at a time and test your usual workflow afterward. That makes it easier to find the cause if a later update breaks something.

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