Your Roadmap to Private AI
A clear, step-by-step guide to using powerful AI tools without handing your data to big tech. No jargon. No gatekeeping. Just practical privacy.
Understand the Privacy Problem
Every time you paste text into a cloud AI, that data may be stored, used for training, or exposed in a breach. Your prompts can contain client names, financial figures, medical details, and proprietary code. Understanding what you are giving away is the first step to taking it back.
$ whoami --data-exposureChoose Your Tools
Not every tool needs to be self-hosted. Some cloud services offer zero-retention policies, end-to-end encryption, or on-premise deployment. The key is knowing which tier of privacy each tool provides and matching it to your threat model.
$ privateai --list-tools --sort privacy-scoreSet Up Local AI
Running a large language model on your own hardware means your prompts never leave your machine. Tools like Ollama make this surprisingly easy. You do not need a data center — a modern laptop with 16GB of RAM can run capable models.
$ ollama run llama3 --local --no-telemetrySecure Your Communications
AI is just one piece of the puzzle. Your email, passwords, browsing, and file storage all need attention. A private AI setup on top of a leaky infrastructure defeats the purpose. Lock down the full stack.
$ secure --encrypt-all --verify-e2eReady to take control?
Browse our curated tool recommendations or dive into detailed privacy guides.