Resources
Understand the decisions before you make them.
Short, practical guides on choosing, deploying, and paying for private AI.
Guides
Resource library
Each guide is a short, plain-English read. More are on the way.
What is private AI?
What private AI means in practice, and when it beats sending data to public tools.
Cloud vs on-premise AI
How to choose between cloud, private cloud, and on-premise for your data and budget.
How to reduce AI token costs
Where token and API spend leaks, and how to cut it without hurting quality.
Private LLM deployment guide
What it takes to run a private LLM, start to finish.
AI hardware planning
How to size GPUs and servers, and when not to buy them at all.
AI workflow audit guide
How to pressure-test a workflow before you put any AI on it.
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