SleekView Charts for Scalenut
SleekView Charts reads the per-post Scalenut meta (quality score, target keyword, brief id) directly from wp_postmeta, and renders the Cruise Mode catalogue as Number, Pie, Bar and Area cards.
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Cruise Mode ships fast. The catalogue still needs governing.
Scalenut's Cruise Mode produces full articles in the cloud and pushes them to WordPress. Each connected post lands with a small but useful meta trail: a Scalenut quality score, a target keyword and a brief id linking back to the cloud document. The Posts screen does not show any of it. Scalenut's dashboard reports on cloud usage, not on the WordPress catalogue the articles end up in.
SleekView Charts reads the same wp_postmeta the connector writes. A Number card averages quality score across published Scalenut articles. A Pie buckets posts into score bands. A Bar groups posts by target keyword or keyword cluster. An Area trends average quality score over publish month, which is the only honest test of whether AI-assisted writing is improving the catalogue or just adding to it.
Honest scope: Scalenut's cluster research, Cruise Mode generation and brief workspace stay in Scalenut. SleekView reports on the WordPress slice. That is the slice editorial leads need to govern.
Workflow
Turn Scalenut's post meta into a dashboard
Pick the source posts
Compose the chart cards
Save and scope the dashboard
Share with stakeholders
Sample dashboard
Charts you can build from Scalenut data
Average quality score
Average(_scalenut_quality_score)
Posts by score band
Count
group by score_band
Posts per keyword
Count
group by _scalenut_keyword
Average score over time
Average(_scalenut_quality_score)
group by post_date
Comparison
Default Scalenut reporting vs SleekView Charts
Default Scalenut reporting
- Scalenut reports Cruise Mode usage and brief activity, not WordPress catalogue health
- WP Posts screen does not surface quality score or target keyword at all
- No score band split or cluster coverage view across the live site
- No time series of average quality score by publish month inside WP
- No read-only catalogue snapshot to share outside the Scalenut app
SleekView Charts
- KPI for average Scalenut quality score across the WordPress catalogue
- Pie split into under 50, 50-70, 70-85, 85+ score bands
- Bar of posts per target keyword for coverage and cluster planning
- Area trend of average quality score over publish month for programme reporting
- Filters carry between table view and chart view on the same dataset
Features
What SleekView Charts gives you for Scalenut
Catalogue, not just Cruise Mode runs
Render every Scalenut-assisted post as Number, Pie, Bar and Area cards. Editorial leads see catalogue health rather than per-run statistics.
Filters span table and chart
Filter to a single keyword cluster or a score band and both the chart cards and the audit table narrow in step. Same meta, same dataset, two surfaces.
Share a read-only snapshot
Send a stakeholder a URL of the catalogue dashboard or export the filtered set to CSV. Quarterly reviews stop being anecdotal.
Audience
Who builds Scalenut charts dashboards with SleekView
Editorial leads
Track average Cruise Mode quality score as a single KPI, watch the band split and use the time series to confirm AI-assisted writing is compounding.
Content editors
Group posts per keyword cluster to plan the next batch, surface duplicate coverage and prioritise which underperforming posts deserve a manual rewrite.
Programme owners
Scope the dashboard to a single cluster and report progress with a count, band split and trend instead of Scalenut screenshots.
The bigger picture
Why AI-assisted output needs a catalogue view
Cruise Mode is good at producing first drafts at speed, but speed is not the same as catalogue quality. The standard Posts screen does not show whether the AI-assisted articles published in the last quarter actually score well, cluster sensibly or trend in the right direction. Scalenut's own dashboard reports Cruise Mode activity, which is a different question.
SleekView Charts reads the meta the connector writes on every post and turns it into a small dashboard: average quality, band split, keyword coverage, score over time. The shift, from celebrating output volume to governing catalogue quality, is what stops an AI-assisted programme from drifting. Average quality is the only metric that matters once volume is solved.
Questions
Common questions about SleekView Charts for Scalenut
The Scalenut meta keys written on each connected post (quality score, target keyword, brief id) plus standard wp_posts columns like post_status, post_author and post_date. SleekView never calls Scalenut's API directly.
No. Scalenut's dashboard reports on Cruise Mode usage and account activity. SleekView Charts governs the WordPress catalogue those posts ship into. They cover different stages of the same workflow.
Yes. Group by post_date with an Area or Line card and aggregate Average on the quality score meta key. The output is the catalogue's average score by publish month.
If no Scalenut meta is written to wp_postmeta, there is nothing on the WordPress side to chart. The dashboard exists for teams that already sync Cruise Mode posts into WP with meta intact.
Yes. The chart cards and table view share the same dataset. Filtering to one keyword cluster, or to the under-50 score band, narrows both surfaces. Editors pivot from chart to row-level audit without rebuilding the filter.
Yes. Any filtered set behind a chart card exports as CSV with the same columns the table view would show. Programme owners use this for quarterly reporting or to brief external editors before a quality sprint.
Yes. If the team uses Scalenut on a knowledge base or learning post type as well as standard posts, group the dashboard by post_type or scope each card to a single type.
No. SleekView edits go through standard WordPress hooks and affect WordPress only. The Scalenut document and brief remain the source of truth in the cloud. WP is the system of record for what publishes.
Pricing
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