Together AI for WP hands the prompt to a model hosted on the Together inference platform (Llama, Mixtral, Qwen and others) and drops the response back into WordPress. Together owns the inference. WordPress owns the artifact: a row in wp_posts with title, status and author, plus wp_postmeta keys recording the Together model name, the prompt category and the request ID that produced it.

That artifact is what an editorial or ops team can actually triage, and what the default Posts screen handles poorly. SleekView reads the same wp_posts rows and the same meta directly. Title, status and author sit alongside Together model, prompt category and request ID as real columns. Sort by date, filter to drafts on a single model such as meta-llama/Llama-3-70b-chat, or pull every generation in a specific prompt category, all without opening each post.

Edits run through standard WordPress CRUD, so save_post hooks still fire and any Together-side meta the plugin reads on update stays consistent. Bulk-flip queued drafts on a single model to pending review in one pass.

Together AI for WP makes inference on big open-source models cheap enough that volume rises well before any reporting is in place. The default Posts screen turns that volume into a wall of titles with the Together model and prompt category hidden a click away. SleekView reads the same wp_posts rows and the same meta and turns them into columns a team can sort, filter and edit.

Editorial leads stop opening every draft to check the model. Ops stops scrolling for a heavier checkpoint that has stayed on as the default. Governance stops second-guessing disclosure coverage.

Same data, very different conversation in the editorial meeting once Together model and prompt category are first-class columns.