The JavaScript step lets you extend your AI tool's capabilities through custom code. You can write and execute JavaScript to perform complex operations or manipulate data.

For example, you could use JavaScript to map or filter an array of data, generating new structures or extracting specific information. It's particularly useful for creating or modifying JSON objects, allowing you to format data precisely as needed for subsequent steps or for output.

This flexibility means you can tackle unique data processing challenges, implement custom algorithms, or even integrate with external libraries to enhance your tool's functionality.

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Python Step

The Python step lets you perform advanced data manipulation and analysis. By incorporating Python scripts, you can tap into a vast ecosystem of libraries and tools, making your AI tools incredibly versatile.

For instance, you might use the popular pandas library to clean and transform complex datasets before feeding them into a Language Model (LLM).

Python's ecosystem means you can tackle tasks ranging from statistical analysis to machine learning, all within your AI tool.

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