NeutromeLabs AI Landing Page Generator (AiLand) for Magento 2

Overview

This module allows Magento administrators to generate HTML landing page content using an AI service (currently configured for Google Gemini) based on product data, category data, or a custom text prompt. The generated content can then be reviewed and saved directly as a standard Magento CMS Block.

Current Version: 1.0.0 Target Magento Version: 2.4.6

Features

• Generate landing page HTML using Google Gemini.
• Input sources:
  • Specific Product data (Name, Descriptions, Price, Meta Desc)
  • Specific Category data (Name, Description, Product Names)
  • Custom user-provided text prompt.
• Admin interface integrated under Content > Elements > Generate AI Landing.
• Preview generated HTML content.
• Option to regenerate content.
• Save generated content directly as a new, active CMS Block.
• Configuration section for API Key management.

Installation

Using Composer (Recommended - if packaged):

composer require neutromelabs/module-ailand
bin/magento setup:upgrade
bin/magento setup:di:compile
bin/magento setup:static-content:deploy [your locales] -f
bin/magento cache:flush

(Note: Replace neutromelabs/module-ailand with the actual package name if published)

Manual Installation:

1. Download or clone the module files.
2. Create the directory structure app/code/NeutromeLabs/AiLand.
3. Copy the module files into this directory.
4. Enable the module and run setup commands:

   bin/magento module:enable NeutromeLabs_AiLand
   bin/magento setup:upgrade
   bin/magento setup:di:compile
   bin/magento setup:static-content:deploy [your locales] -f
   bin/magento cache:flush

Configuration

1. Log in to the Magento Admin panel.
2. Navigate to Stores > Configuration > NeutromeLabs > AI Landings.
3. Expand the Google Gemini API section.
4. Enter your API Key obtained from Google AI Studio or Google Cloud Console.
5. Click Save Config.

Usage

See USER_FLOWS.md for detailed steps on how to generate and save landing pages.

TODO / Future Enhancements

• Implement the actual Google Gemini API call logic in Model/AiGenerator.php.
• Add robust JavaScript for handling AJAX calls, button states (loading indicators), and updating the preview area dynamically.
• Implement the full Product Chooser UI component listing.
• Add more sophisticated validation for form inputs.
• Potentially add options for AI model selection, temperature, max tokens, etc., in configuration.
• Improve error handling and user feedback for API calls.
• Add unit/integration tests.