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.
Download workflow config (JSON)How the data moves
This is a handoff plan, not an automatic integration. Review outputs before the next step. Unlabeled arrows show order, not a verified data format. Use the capability links to explore tool substitutions.
Step 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.
Tools
No catalog tool specified
Step 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.
Step 3
Route Sensitive Tasks Locally
Use Ollama to serve local models for the specific sensitive workflows you identified earlier.
Step 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.
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.
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