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AI Assistant

Powerful coding LLM to help you with scripts' setup

Introduction

The AI Assistant in DataJet is designed to help you generate production-ready Liquid code from a simple prompt. Instead of starting from scratch, you can describe what you want to achieve, and the assistant will provide a code template that’s ready to deploy. This accelerates development, saves valuable time, and enables you to build advanced logic with just a few words.

What the AI Assistant can do

  • Deep Shopify GraphQL support – all generated code relies on Shopify’s GraphQL API, ensuring performance and future-proof integration.

  • Full access to DataJet features – the assistant can leverage everything DataJet offers, including:

    • connecting to FTP servers,

    • making HTTP requests to external APIs,

    • sending emails,

    • reading and writing to DataJet storeage and more

  • Tag-first approach – wherever possible, it uses tags instead of filters (e.g., {% http %} instead of an http filter, {% graphql %} instead of a graphql filter). This ensures cleaner and more maintainable code.

Current limitations

  • Shopify REST API – since REST was officially deprecated on October 1, 2024, all generated code exclusively uses GraphQL. Read more.

  • It creates checkout functions (validations, delivery and payment customizations) as well as scripts — functions are created turned off so you can review them first

  • It will always use Shopify's most recent API version

Usage

Using the AI Assistant is simple: just describe your task in the prompt field, and you’ll get a generated code block tailored to your request. It might take up to 60 seconds to generate output.

✨ The model is continuously learning – it’s retrained daily, so you can expect steady improvements and more accurate outputs over time.

Here are some examples of prompts that should be handled gracefully by our model:

  • Unpublish a product with sku: SKU-123 from sales channel called: "Online Store"

  • Iterate over all products in the store. Set metafield for each product: namespace: seo, key: hidden, value: 0, type: number_integer

  • Create an automatic discount that offers $50.00 off on all orders over $200.00

  • Add tag to product with sku: TEST-PRODUCT. Tag name: "test-tag"

  • Publish all products with tag: release-today to sales channel called: "Online Store".

  • Check total quantity of all customer items. If it is more than 100 then return a rate called: Oversized with a price: $100.00, otherwise return Regular rate of price: $10.00`

Error handling

Sometimes, the generated code might not pass DataJet’s validation checks on the first try. When this happens:

  • You’ll still receive the generated code.

  • Validation errors will be included as inline comments for easier debugging.

  • You can either adjust the code manually or submit a refined prompt for another attempt.

And finally:

The AI is a booster, not a replacement — you should review and test generated code.

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