AI Power Pro hands the prompt to OpenAI, Anthropic, Google and other vendors, then drops the result back into WordPress as a post or chunk of content. The cloud owns the model call. WordPress owns the artifact: a row in wp_posts, the prompt history AI Power keeps in its own tables (typically wp_aipower_prompts and a generation log), and the meta the plugin stamps about model, token cost and run ID.

That artifact is what an editorial team can actually govern, and what the default Posts screen handles poorly. SleekView reads the same rows AI Power Pro writes. Title, status and author sit alongside model, prompt snippet, tokens and run timestamp as real columns. Sort by date, filter to drafts on a single model, or pull every generation that ran against a specific prompt template.

Inline edits to generated posts run through standard WordPress CRUD, so save_post hooks still fire and any AI Power meta the plugin reads on update stays consistent. The prompt history itself is read-mostly: SleekView surfaces it as a queryable list rather than a frozen reports tab.

AI Power Pro is so quick to trigger that volume grows before any reporting is in place. The built-in dashboard is useful for a credit-burn read, but it cannot answer questions like which prompt template produced every published article last week, or which model is silently dominating draft output. SleekView reads the same prompt history rows and the same generated posts and turns them into a queryable list with model, prompt and tokens as real columns.

Editorial leads stop opening every draft to check the model. Content ops stops scrolling for an older model that has not been retired. Governance produces an evidence trail without a custom SQL query.

Same data, same plugin, very different operating posture.