AI Text Classifier runs a model against incoming text and writes its prediction back into WordPress. The cloud owns the classifier. WordPress owns the artifact: a row in wp_posts or wp_comments with the predicted label, confidence score and classifier version stamped through wp_postmeta or wp_commentmeta.

That artifact is what a moderation or governance team can actually review, and what the default screens hide. SleekView reads the same rows and the same meta directly. Title or excerpt sits alongside predicted label, confidence percentage and classifier version as real columns. Sort by confidence, filter to low-confidence predictions for human review, or pull every row marked spam by the model in the last seven days.

Inline edits go through standard WordPress CRUD, so any reclassification or status flip fires the usual hooks. Bulk-approve a batch of high-confidence rows, or send a low-confidence slice to manual review in a single pass.

AI Text Classifier is fast enough to score every comment and every post as it arrives, and that volume rises before any review process is in place. The default Posts and Comments screens have nowhere to surface the label, the confidence or the classifier version: every value lives in meta behind a click. SleekView reads the same rows and the same meta and turns them into columns a team can sort, filter and edit.

Moderators stop opening every flagged comment. Community managers stop guessing at spam waves. Governance stops rebuilding the same audit each month.

Content teams get a CSV export without a custom SQL query. The data has been in the database the whole time. SleekView gives each role a workspace built on it.