SleekView Charts for ContentBot: AI content generation dashboards
ContentBot writes AI-drafted posts and pages into standard WordPress posts with provenance stored in post meta keys like _contentbot_generated and _contentbot_prompt. SleekView Charts reads those rows and groups drafts by author, day, and category to render configurable chart cards on a single screen.
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Reporting that follows the ContentBot meta keys
ContentBot writes generated articles, intros, and bullet lists into standard wp_posts rows as drafts or published posts. Each generated row carries provenance in wp_postmeta keys such as _contentbot_generated, _contentbot_prompt, _contentbot_model, and _contentbot_tokens. The author column on wp_posts records the editor who triggered the generation, and the standard post_date records when the generation happened.
The default ContentBot admin screens cover individual draft review well, but the cross-cutting weekly questions live elsewhere. "How many AI drafts did the team generate this week, and how does that compare to last week?" "Which authors are leaning on ContentBot the most, and which categories are AI-heavy?" "What is the token burn trend across the month?" Each lives in a separate corner of the WordPress admin rather than on one combined dashboard.
SleekView Charts maps the wp_posts rows tagged with ContentBot meta to chart cards so the recurring questions become one screen. A Number card counts AI drafts this month, a Donut splits status (draft, pending, published), a Bar ranks top authors by AI draft count, and an Area plots daily generation volume. Cards refresh as ContentBot writes new posts, so the dashboard stays current without a manual rebuild before the weekly editorial review with the studio.
Workflow
Build a ContentBot dashboard in four steps
Filter wp_posts to ContentBot rows
Pick a chart type per question
Set groupBy and aggregation
Save and pin the dashboard
Sample dashboard
Charts you can build from ContentBot data
AI drafts this month
Count
Draft status mix
Count
group by post_status
Top authors by AI drafts
Count
group by post_author
Daily AI drafts generated
Count
group by post_date
Comparison
Default WordPress posts list vs SleekView Charts
Default WordPress posts list
- Standard posts list covers individual rows but not week-over-week AI draft volume
- No cross-tab dashboard combining draft status, top authors, and daily generation
- Per-author AI draft counts require filtering the posts list one user at a time
- Token burn across the team is not surfaced as a chart anywhere in the admin
- Time-series charts of AI generation over the trailing 30 days are not built in
SleekView Charts
-
One dashboard combining
wp_posts,wp_postmeta, andwp_users - Donut and Bar cards for status mix and per-author distribution
- Area and Line cards for daily AI generation and rolling token usage trends
-
ContentBot meta keys like
_contentbot_modelusable as chart groupBy dimensions - Cards refresh as ContentBot writes new posts, so the board never goes stale between reviews
Features
What SleekView Charts gives you for ContentBot for WordPress
Editorial KPI cards
Total AI drafts this month, drafts published this week, average tokens per draft: Number cards surface the figures editorial leads normally rebuild in spreadsheets every Monday before the editorial planning meeting kicks off.
Status and author distribution
Donut and Bar cards render the draft status mix and top authors, so editorial throughput and AI reliance questions answer themselves at a glance instead of requiring per-author filtering through the standard posts list.
Generation and cost trends
Area and Line cards over the trailing 30, 60, or 90 days surface AI generation velocity and token burn, the long-running data that drives next-quarter ContentBot subscription tier decisions and editorial workflow updates.
Audience
Who builds ContentBot dashboards with SleekView
Editor in chief
Weekly review dashboard: total drafts, status mix, top authors, and daily generation on one screen. The same view doubles as the monthly editorial retro with the studio owner on AI workflow improvements.
Studio owners
Per-author scoreboard pivoting post_author into a Bar card. Spot the editor leaning hardest on ContentBot and the editor producing the most original work, side by side in one chart card on the dashboard.
Finance
Token burn dashboard summing _contentbot_tokens meta across all generations per day. Forecast ContentBot subscription cost without exporting raw post lists into a separate spreadsheet every billing cycle.
The bigger picture
Why ContentBot teams need a saved dashboard
Editorial teams running ContentBot at scale spend more time stitching reports than they should. The plugin produces excellent per-draft generation, but the cross-cutting weekly questions live in screens that need to be visited individually and recombined in a head or a spreadsheet. AI drafts by author, status mix, daily generation, token burn: each lives in its own corner of the admin.
SleekView Charts collapses those questions onto one dashboard that refreshes as ContentBot writes new posts. An editor in chief pins the dashboard in the WordPress admin and checks it every Monday morning. A studio owner watches the adoption curve for budget planning.
A finance lead breaks token burn down by day for forecasting. The data was always there in wp_posts and wp_postmeta; the dashboard makes it operational rather than ad-hoc.
Questions
Common questions about SleekView Charts for ContentBot for WordPress
No. The standard posts list stays in place and remains the right place for individual draft review and editorial workflow. SleekView Charts adds the cross-cutting weekly dashboard the default screens do not assemble, so the two layers complement each other rather than competing for the same screen real estate inside the admin.
 Yes. The post_author column on wp_posts is a natural groupBy dimension. SleekView pivots author IDs into named editors at the dataset level so a Bar card resolves to display names from wp_users. Editor in chief uses it to spot uneven AI adoption across the team and to flag heavy users for workflow conversations.
 Yes. The _contentbot_tokens meta key on wp_postmeta carries the token count for each generation. SleekView Charts sums tokens across the dataset and renders a Sum card alongside the daily area trend, so finance sees ContentBot cost as a live KPI rather than a monthly invoice surprise.
 Yes. Dashboard-level filters apply to every chart card so the whole dashboard responds to a single category or tag filter using the wp_term_relationships join. That makes per-section editorial reviews a one-click switch rather than a per-card configuration job for each chart in the layout.
 Yes. Aggregations run on the indexed columns WordPress already maintains on wp_posts and wp_postmeta, so sites with thousands of AI drafts render charts in seconds. The Charts engine uses pagination and indexed joins rather than scanning every meta blob on every render of the chart card on screen.
 Yes. Each chart card exposes its underlying post row set, which exports to CSV with the active filters applied. Studio owners hand the CSV straight to the monthly review without round-tripping through a spreadsheet rebuild, and finance uses it for ContentBot subscription decisions with leadership.
 ContentBot leaves the _contentbot_generated meta key on the post regardless of subsequent edits, so the dashboard counts the row as AI-originated even after editor revision. A second meta key or post_modified comparison can split fully-AI from human-revised in a separate Bar card on the same dashboard if needed.
 Yes. SleekView Charts can build a separate dataset and dashboard per AI writer installed on the site, so the ContentBot meta dashboard lives next to an AIKit or Copy.ai dashboard without overlap. Each chart card references its own dataset and refreshes independently of the others on the admin sidebar.
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