Local AI

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Learn

• Open source, decoded

  Open source means the code or model is public and you can run it yourself. What that buys you, what it costs, and why so many AI tools say it on the label.

• Local does not mean private: the four places your data still goes

  Running AI on your own machine keeps your words from the model company. It does nothing about the browser, the sync folder or a file you pasted. Four checks.

• Two ways to let AI use your browser

  Two ways to let an AI use a web browser for you. One reads the screen and moves the mouse. The other talks to the browser directly. Which suits a local model.

Guides

• Why does Ollama struggle with long documents?

  On most computers Ollama starts with room for about six to eight pages. Check what yours is using, raise it carefully, and know when to split the document instead.

• Reach your local AI from another device privately

  Use the Ollama models on your home Mac from your laptop or phone, without opening it to the internet. A free private network, one setting, and two tests to prove it.

• Which local model should you actually run?

  The model list changes monthly, so this page does not rank them. What fits in 8 GB or 16 GB of memory, a prompt that picks for your machine, and a one-week test.

• How to run local AI models (without coding)

  A simple guide to running powerful open-source models on your own computer. No coding, no subscription, and nothing you type leaves the machine.

Tools

• Ollama: run AI models on your own computer

  A free tool that downloads and runs open AI models on your own machine, with a single command and no coding required.