Introducing the OpenAI API tool: j2code_angular_app_for_record_list_in_firestore

This tool takes a JSON string representing a sample business record and instantly generates a fully functional Angular application for managing that record list in a Google Firestore database. The generated app includes all essential source code files, such as components, services, and modules.

It doesn't stop at the root-level object — the tool also creates editor forms and grid views for all nested child objects and arrays, regardless of depth. With these interfaces, you can seamlessly perform all CRUD operations: create, read, update, and delete records. The generated application is ready to use out of the box, no modifications needed.

All source code is delivered in a downloadable .zip file, making it easy to integrate with your existing projects.

Behind the scenes, this OpenAI API tool calls our j2code API service at: j2code.app/api/angular/firestore to produce the .zip file, which contains only textual data.

Both the j2code API service and its companion OpenAI tools are actively evolving. You can reach out to the tool's author via the contact section on this page. Your feedback is not just welcome — it's valuable.

This page features an OpenAI Chat interface that allows you to submit a JSON string directly to the underlying AI model. The model invokes this OpenAI API tool that generates an Angular application based on the JSON input and returns a URL pointing to a downloadable .zip file.

You can simply copy the URL into a web browser to download the generated application.

If the provided JSON string is not fully valid, the AI model will typically attempt to correct it automatically before processing.
      

This page features a simple, chat-style interface that lets you submit a JSON string directly to the j2code API service behind this OpenAI API tool. Once you input a JSON string, the generated Angular application details will be displayed.

Note: The j2code API strictly validates the input, so make sure your JSON is valid before submitting.
      

This section contains a list of frequently asked questions along with our answers. They offer guidance on configuring and customizing the code generation process. Customizations are made by adding fields like:

"j2codeConfig": { ... }

"j2codeConfig_<fieldName>": { ... }

We’ll continue to add more examples and explanations over time.
      

Here you’ll find a collection of sample business records in JSON format. With a single click, you can send a sample to the OpenAI Chat interface or the Direct API Call page—perfect for quick test runs.

This section includes sample code for calling the tool via OpenAI API, along with the tool schema and function definitions.