OpenAI for WordPress sends the prompt to the OpenAI API, drops the response back into WordPress as a post, and stamps the model, prompt category and run ID into wp_postmeta. The OpenAI cloud owns the inference. WordPress owns the artifact: a row in wp_posts with the run details attached.

That artifact is what an editorial team can govern, and what the default Posts screen handles poorly. SleekView reads the same wp_posts rows and the same wp_postmeta keys the plugin already writes. Title, status and author sit alongside model, prompt category, run ID and token usage as real columns. Sort by date, filter to drafts on a single model, or pull every generation tied to a specific prompt category, all without opening each post.

Inline edits go through standard WordPress CRUD, so post-save hooks still fire, Yoast still indexes, and any plugin-side meta that the OpenAI integration reads on update stays consistent. Bulk-flip ten queued drafts to pending review in one pass; the same triggers run as if each row had been opened by hand.

OpenAI for WordPress lowers the cost of producing a post so much that volume grows before any reporting is in place. The default Posts screen turns that volume into a wall of titles with no way to see which model wrote what, which prompt category fed each run, or how many tokens the queue burned this week. SleekView reads the same wp_posts rows and the same postmeta keys and turns them into columns a team can sort, filter and edit.

Editorial leads stop opening every draft to check the model. Finance stops guessing at monthly token spend. Governance stops chasing disclosure coverage.

Same data, same plugin, very different operating posture.