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Command-line interface

As explained in Build Applications with Local AI Models on a Mac

A command-line interface is an interaction interface in which users operate software by entering textual commands.

A command-line interface (CLI) lets you operate your computer by typing commands instead of clicking icons and menus. A terminal is the application where you enter those commands. Both the CLI and a graphical user interface (GUI) communicate with the same operating system. section 1.5.1 section 1.5.2

yourname@MacBook-Air ~ %

A terminal prompt shows that it is ready for a command. In this example, `~` marks the home directory and `%` is the prompt symbol. Your prompt may look different; a `$` can indicate the Bash shell rather than Zsh. section 1.5.1

Type a command the shell recognizes, then read the text it returns. Unlike an AI prompt, a terminal prompt does not expect a request in everyday language. The shell interprets commands and uses PATH to find programs to run. section 1.5.1 section 1.9

Four commands are enough to start moving around your files:

The CLI is useful for installing development tools, running Python scripts, starting the Ollama AI service, and launching a web application. Commands can be quick to repeat, precise about options, and saved together in a script for automation. If a command keeps running when you want it to stop, press Ctrl-C; treat error messages as feedback you can use. section 1.5.3 section 1.9

How Build Applications with Local AI Models on a Mac covers it

How deep it goes
Defines the terminal and prompt, then introduces navigation commands, shell interpretation, PATH, and basic error handling.
Examples
Shows a macOS-style prompt and commands including `pwd`, `ls -la`, `cd`, and `mkdir`.
What it assumes
Starts with familiar clicking and menus before defining the terminal, prompt, and commands.
What you can do after
Operate/configure it to navigate folders, inspect files, stop a running command, and run development tools.
How it connects
Connects the CLI to graphical user interfaces, operating systems, shells, scripts, and AI coding agents.

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This explainer was generated by Manning's knowledge graph from the text of Build Applications with Local AI Models on a Mac. The section links point to the parts of the book it draws on.