Intermediate
Models
Privacy
Infrastructure
Run a Private, Compliant AI Stack Like an Enterprise IT Team
Set up a privacy-conscious AI stack that routes sensitive work locally in about two hours.
Time Required
2 hours, one-time setup
Expected Result
A working AI setup that keeps sensitive tasks on your own machine while routing everything else to a fast, low-cost cloud model.
Recommended Tools
1
Identify Workflows That Can't Touch Public APIs
List the tasks involving sensitive client or business data that should never be sent to a third-party API.
2
Set Up a Local Model Runtime
Install LM Studio to run open models directly on your own machine for maximum control over your data.
LM Studio
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3
Route Sensitive Tasks Locally
Use Ollama to serve local models for the specific sensitive workflows you identified earlier.
Ollama
4
Route Everything Else to a Fast Cloud Model
Send non-sensitive tasks through OpenRouter so you can pick the best cloud model for each job without juggling separate API keys.
OpenRouter
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