If you're (like me) liking the idea of having an AI coding assistant that runs completely locally on your machine (privacy!), there's a good chance you've stumbled upon Goose-CLI. Combine it with Ollama for running AI models locally, and you've got yourself a pretty powerful setup that doesn't send your code to the cloud.

Let's see what we need to do in order to get both systems up and running, configure them to work together, and set up some convenient shortcuts to switch between coding and writing tasks.

With AI systems on the rise, I think it's valid to take a look at where they can play a role in supporting our tasks now and for the future. The OpenAI platform allows you to make use of published algorithms in a fairly straightforward way. It's the perfect gateway drug into AI and Machine Learning!

In this tutorial we'll take a look at a specific API, namely the one that helps you in intercepting user input by applying natural language interpretation to use as moderation.