Applying Nebuli’s Nanobot and AIQ language models to turn WordPress into a robotic co-editor to support complex editorial workflows.
This is a good example of Nebuli’s AIaaS smart co-worker model that turns WordPress and WordPress-VIP platforms – the content management system used by 33.5% of the Internet and with a market share of 60.4% – into a smart robotic co-editor.
Nebuli has been packaged into a plugin, which allows it to read and conceptualise a publisher’s entire WordPress content library through its unique process of full-text search, content clustering and segmentation.
It auto-classifies new content to match a publisher’s existing content categories. This ensures content automatically gets assigned to the correct category and removes the need for any human decision making and manually searching through hundreds of categories for every newly published article.
Like with the category segmentation and pre-selection process, Nebuli suggests and pre-selects the most relevant tags for the newly published article. If a tag does not exist or it believes additional tags are needed, it generates new tags that are of high relevance to the article. Thus, eliminating the need to manually search for and determine the most suitable keywords.
Above all, the publishers do not need to worry about any additional technical setup or development of additional AI layers for the system to work.
Publishers do not need to worry about any additional technical setup or development of additional AI layers for the system to work. They just need to add their API key to the plugin and they are set. This model has been tested with other similar CMS platforms such as Drupal, Joomla, Magento and custom platforms.