Scripting Local Language Models with Ollama and the Vercel AI SDK

Create powerful local scripts based on artificial intelligence. Stop limiting yourself to simple AI chats and unlock the true potential of local language models by learning to write scripts for them. This course will guide you step by step through the process of creating a flexible and "smart" command-line tool that understands natural language, interacts with the file system, and automates complex tasks—all working entirely locally, without the cloud.

Starting with an empty TypeScript file, you will learn how to combine the capabilities of Ollama, Vercel AI SDK, and Zod to create not just a functioning, but truly intelligent script. First, you will train the model to recognize commands in ordinary phrases, then add dynamic handling of user input, access to project files, and generation of context-dependent textual output.

You will master key techniques for creating resilient and scalable tools: proper error handling, unexpected AI responses, and a convenient modular command structure. In the end, you will create an intelligent layer that allows the script to understand your intentions—even to the point of determining the required type of file for processing.

As a result, you will develop your own local AI assistant and acquire basic skills for building advanced automations on your computer.

In the course, you will learn:

• How to create scripts for local language models using Ollama and Vercel AI SDK.
• How to handle dynamic command line input.
• How to use Zod schemas for validation and structuring of model output.
• How to provide file system context using globby.
• How to generate meaningful text based on file content.
• How to handle errors and incorrect commands effectively.
• How to build a modular architecture with separate files for each command.
• How to equip the script with the ability to "guess" user intentions and file types.