Only the rows ImagineAI already writes for each generation: prompt, model, author, status, created_at and any token or credit column the plugin stores. No external API call is required; everything sits in standard WordPress tables or a plugin-owned table on the same database.

Yes. Filter on post_author or the plugin's author column to see who is actually using the plugin daily. Editorial leads typically pair this with a created_at range filter to spot adoption drift after training or onboarding rounds.

Yes. Add the tokens or credits column and sort descending to surface runaway prompts and stuck loops at the top of the table. The same column exports cleanly to CSV for monthly reconciliation against the vendor invoice.

Yes. Sort or filter on the model column to see whether the team is anchored on one provider or spreading load across several, and to plan a model migration with a measurable starting point.

Yes. SleekView writes through the plugin's CRUD layer where one exists, so any filters ImagineAI registers on save or status change still fire. Bulk operations iterate the same path so the side effects match a manual edit.

Queries hit indexed columns on the generations table where possible. Filters and sorts use indexed fields like author, model and created_at, and expensive aggregations are cached per view load, so the table stays quick even on installs with tens of thousands of generations.

Yes. Every SleekView view is gated by WordPress capability, so an adoption-focused editorial view can be visible to editors and team leads while finance sees a separate spend-focused view on the same underlying rows.

Yes. Any filtered set behind a SleekView view exports as CSV with the same columns shown on screen. Editorial leads typically use this for quarterly reviews, while finance pulls token-per-day CSVs to reconcile against vendor invoices.