I’m ready to commission a polished WordPress plugin that quietly enhances every article on my site by surfacing genuinely relevant “You may also like…” suggestions. The key requirement is that the plugin determines related posts through content-level similarity, not just shared tags or categories. In practice, that means analyzing the body text of each post—whether by TF-IDF, semantic vectors, or another efficient approach you propose—and returning the closest matches in real time or via scheduled indexing so page loads stay fast. Here’s what I expect the finished plugin to deliver: • Implementation of a WordPress plugin that enhances the way our Posts / Blogs section appears on the website. It should replace our existing Posts theme and work well with all features of the website; especially the quote part of the website. • Seamless front-end output of related posts after each article, styled to inherit the theme’s typography while allowing overrides in the settings panel. • An intuitive admin screen where I can choose the similarity algorithm, set minimum similarity thresholds, pick the number of posts to show, and manually exclude anything when needed. • Clean, documented code that follows WordPress coding standards, works with both Classic and Gutenberg editors, and avoids direct theme edits. • Compatibility testing on the latest WordPress core, PHP 8+, and popular caching plugins. • A short user guide outlining installation, settings, and hooks/filters for future customization. This does not need to be a massive change - just a good WordPress plugin will do. This project is not for a regular website developer. This is specific to WordPress experts who know how to make Insights/Blogs/Posts section look and operate worldclass.