SleekView Kanban for AI Mojo
SleekView Kanban groups AI Mojo content drafts into lifecycle lanes inside the WordPress admin, so writers can drag cards from queued through drafting, review, and published without opening each draft, changing a dropdown, and saving the post one update at a time.
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Why AI Mojo drafts belong on a board
AI Mojo writes every generation as a regular WordPress post with a few extra meta keys that track the AI lifecycle. The most important is _aimojo_stage, which moves through queued, drafting, review, and published as a writer takes the draft from prompt to live URL. Other meta fields capture the source brief, the model used, the assigned writer, and a quality score that the plugin assigns automatically when generation finishes.
SleekView Kanban reads the WordPress posts table with the AI Mojo meta filter applied and groups rows by _aimojo_stage, which is the natural pipeline column for this plugin. Cards show the post title, assigned writer, quality score, and source brief snippet, so an editor can scan the review lane for the highest score and the cleanest fit without opening any post. A small badge highlights drafts with a low quality score so they cannot slip into published unnoticed.
Dragging a card across lanes updates the _aimojo_stage meta value on the linked post, so AI Mojo's own admin filters, dashboards, and any reporting tools that read that meta key stay in sync. Cards in the published lane gain a quick action to copy the public URL, and cards in the review lane gain a quick action to send a brief comment back to the assigned writer without leaving the board.
Workflow
From AI Mojo drafts to a working kanban
Choose AI Mojo as the source
Group by _aimojo_stage
Pick card fields for writers
Switch on drag-and-drop
Sample board
Sample AI Mojo content board
Comparison
Default AI Mojo list vs SleekView Kanban
Default AI Mojo drafts list
- Drafts share the standard WordPress posts list with one stage column to read
- Filtering by stage requires clicking a dropdown above the table on every visit
- No visible count of how many drafts are waiting in each AI Mojo stage
- Quality scores hide inside a column users have to enable from screen options
- Bulk edit can move stage but only after selecting and confirming twice per batch
SleekView Kanban
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Groups AI Mojo drafts by
_aimojo_stagewith counts per lane - Drag a card to a new lane to update the stage meta on the linked post
- Card fronts surface title, assigned writer, quality score, and brief snippet
- Low quality score drafts get a badge so they cannot reach published quietly
- Quick actions copy the public URL or send a comment to the assigned writer
Features
What SleekView Kanban gives you for AI Mojo
Per writer board filters
Each writer saves a filter that scopes the board to their own assigned drafts, so they only see what they personally need to move forward. Editors keep the full board view with every writer represented, and the same view config powers both perspectives without duplicating any AI Mojo data.
Drag updates the stage meta
Dropping a card on a new lane writes _aimojo_stage on the linked WordPress post, so the AI Mojo admin screens, any custom reporting tool, and the plugin's own bulk actions see the new stage immediately. There is no shadow state to keep in sync or rebuild later.
Quality score aware lanes
Each card surfaces the AI Mojo quality score, and the review lane sorts by score by default. A small badge marks anything below a chosen threshold, so a low scoring draft cannot quietly slip into the published lane during a fast review session at the end of the day.
Audience
How AI Mojo teams use the board
In-house content teams
Editorial teams use the board to assign drafts, review them, and ship the best ones. Card filters scope the view per writer, per topic cluster, or per quality threshold, so the most senior editor only sees the drafts that need their judgment that day.
Freelance writer pools
Sites that run on a pool of freelancers use SleekView to assign drafts, track progress, and approve final versions. The assigned writer field on the card front makes it obvious which freelancer owns each draft without opening any post or any email.
Quality control reviewers
A dedicated reviewer role uses the board to sweep the review lane for low quality scores and send the worst drafts back to drafting with one comment. The lane counts make their workload visible at a glance instead of buried in the WordPress posts list.
The bigger picture
Why AI Mojo drafts need a real board
AI Mojo treats drafts as WordPress posts, which is the right architectural decision. It also means drafts inherit the same dense admin list that WordPress uses for every other post type, which is the wrong shape for a fast review workflow. Editors do not want to filter every visit.
They want to walk in, see how many drafts are waiting, see who owns each one, and start moving work forward. A kanban gives them all three in one screen without typing a search or opening a dropdown. The drag gesture turns stage changes into a single motion, which sounds small until you measure it against a team that pushes thirty or forty drafts through review in a day.
The board does not replace the WordPress post type. It just gives editors a workspace that matches how they actually work.
Questions
Common questions about SleekView Kanban for AI Mojo
SleekView reads the WordPress posts table with the AI Mojo meta filter applied, so any tier that writes the standard meta keys works. The kanban renders the same way regardless of license, which means you can prove the workflow on free and upgrade AI Mojo only when you need its paid generation features.
Yes. You can build a board grouped by _aimojo_stage and add a filter that excludes anything not in publish, draft, or pending. Cards that switch WordPress post status independently still update on the board, so a scheduled post moves to the published lane on its scheduled date.
SleekView reads any meta key written to the post, including the ones added by other editorial tools. You can show those statuses on the card front next to the AI Mojo stage, so editors keep both workflows in sync without bouncing between two completely separate admin screens.
By default it only updates the AI Mojo stage meta. If you want the WordPress post status to update too, you can hook into the SleekView write event and call wp_update_post inside that hook. Keeping the two changes separate prevents accidental publication of drafts that have not finished review.
Yes. SleekView respects WordPress capabilities, and you can add an extra filter so each writer only sees drafts where the assigned writer meta matches their user id. Editors keep the full view, and writers see a clean board with their own drafts only.
Any draft written via the AI Mojo REST API ends up in the same posts table with the same meta keys, so it appears on the board without any extra configuration. The card surfaces the generation source field so editors can tell which drafts originated from API automations versus the admin UI.
Yes. Card front fields support custom formatting, so a quality score can render as a colored badge that switches color above a chosen threshold. You can tune the thresholds per board, which lets a long-form editor use a stricter cutoff than a daily news desk.
Yes. SleekView reads any WordPress post type that AI Mojo writes to, including custom post types like products, projects, or knowledge base articles. The board behaves the same way and respects the capabilities that govern that custom post type for drag-and-drop permissions.
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