No. SleekView only reads the rows AI Power already wrote to wpaicg_chat_logs and wpaicg_post_logs. Every OpenAI call still goes through AI Power with the keys, models, and rate limits the plugin already manages, so you don't double up on usage.

No. SleekView caches each chart card for the duration you set on the source and runs indexed group-by queries against the wpaicg_* log tables. On normal sites the queries finish in milliseconds and never block AI Power from writing new log rows.

Yes. wpaicg_chat_logs stores a bot_id on every row, so SleekView Charts can group by bot_id and resolve it against the wpaicg_chatbots option to label each bar or slice with the saved chatbot name.

Yes. AI Power writes log rows for every feature it ships, so SleekView can chart chat tokens, content-generator tokens, and image generations side by side on one dashboard by filtering on the feature column or by joining post_logs and chat_logs into separate cards.

Yes. SleekView dashboards have a role scope. Save the AI Power dashboard for content_lead or finance and only users in that role see it, so editors don't see token costs and finance doesn't see chatbot transcripts.

Only if the plugin renames the log columns SleekView is reading. The wpaicg_chat_logs and wpaicg_post_logs shape has stayed stable across releases, and SleekView shows a clear error and lets you re-map the column if anything changes.

Yes. Every saved chart view has a shortcode and a block. Drop it on a frontend dashboard page, scope the page to a client role, and the client sees the AI Power numbers without ever logging into the AI Power admin screens.

Yes. Every SleekView chart card has a CSV export that pulls the same rows the chart was built on. Use it to hand finance a monthly token spend file or to feed an external BI tool, without touching the AI Power tables directly.