SleekView Feedback for AI Mojo
AI Mojo writes drafts, prompts, and run history into WordPress. SleekView Feedback exposes them as a sorted, votable board so editors triage hallucinations, vote on prompts worth keeping, and ship better AI content without a separate review tool.
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From AI Mojo runs to a sane review queue
AI Mojo is built for fast content creation, and it stores a lot. Prompts, completions, model settings, and bulk run history all live inside WordPress, mostly as a custom post type with rich meta. The admin screen shows them as a list. Once you are generating dozens of pieces a day, that list becomes hard to read and harder to act on.
SleekView Feedback turns the AI Mojo CPT into a card based board. Each AI Mojo run becomes a card with a title, a vote count, an author, a status pill, and a category tag. You decide which AI Mojo columns drive each piece, and the board renders them with a button to upvote and a clear visual queue.
The point is to make AI content quality something the whole team can see at a glance. Editors vote on the prompts they trust. Writers flag hallucinations the moment they spot one. Clients land on a filtered view and watch the roadmap move. Nothing leaves WordPress, nothing needs a second tool, and AI Mojo gets feedback it can actually use to rank future runs.
Workflow
Point SleekView at AI Mojo
Select the AI Mojo source
Map the columns SleekView needs
Embed and configure access
Vote, flag, and ship
Sample board
Sample AI Mojo content board
Comparison
AI Mojo list view vs SleekView Feedback
AI Mojo default list
- AI Mojo admin list shows generations with no votes, no flags, and no shared priority
- Hallucinations only surface when a reader complains, not when a draft is born
- Prompt templates lack a score, so retiring or keeping them is always a guess
- There is no client friendly view of what AI Mojo is working on this week
- Editor workflow lives in Slack threads instead of on the AI Mojo row itself
SleekView Feedback
- Render every AI Mojo run as a card with title, votes, status, and tag
- Reuse existing AI Mojo meta keys instead of building a parallel review schema
- Upvotes write back so AI Mojo can sort future runs by reader and editor score
- Filter by model, campaign, or niche using any meta key already on the row
- Embed an internal triage board and a public roadmap from the same source
Features
What SleekView Feedback gives you for AI Mojo
Draft scoring built in
Each AI Mojo draft becomes a votable card. The board sorts by score, so editors instantly see which generations are landing with the team and which ones are dragging. The morning triage becomes a five minute exercise on one screen.
Hallucination as a category
Treat hallucinations like a tag on the row. Anyone can flag a draft, the flag is visible to editors, and the board sorts the worst offenders to the top. The prompt engineer fixes the template before the next bulk run repeats the mistake.
Prompt suggestion queue
Visitors and editors can submit new prompt ideas as cards. They earn votes, get a status, and graduate into the AI Mojo prompt library when shipped. The board becomes a living roadmap for your prompt strategy.
Audience
Where AI Mojo teams put the board to work
Editorial triage
Editors triage AI Mojo drafts by votes every morning. The board surfaces the strongest pieces and the most flagged hallucinations side by side, so the team always knows what to publish next and what to send back to the prompt engineer.
Client roadmap
Agencies share a filtered board with clients so they can see which AI Mojo prompts are queued, in progress, and shipped. Clients vote on the next batch and feel in control, which makes monthly check ins shorter and friendlier.
Quality audit log
Compliance teams use the board as a continuous audit log of AI Mojo output. Flagged hallucinations climb when votes pile in, resolved items move to a Fixed status, and the audit trail is one screen instead of a folder of screenshots.
The bigger picture
Why AI Mojo teams need a board outside the admin list
Volume is no longer the limit on AI generated content. The limit is review. AI Mojo can ship dozens of drafts a day, but if your team cannot triage them at the same speed, the queue rots and the quality drops.
The default admin list works fine for one editor reviewing four posts. It falls apart at forty. A feedback board changes the unit of conversation.
Instead of arguing about a single draft in chat, the team votes on the AI Mojo row itself. Upvotes capture the prompts that deserve another run. Hallucination flags capture the prompts that need to be retired.
Status pills capture where every draft is in the pipeline, so clients can self serve a status update without messaging the project manager. The deeper benefit is that prompt strategy stops being tribal knowledge. New writers see which AI Mojo prompts the editors trust.
Prompt engineers see exactly which templates are earning votes and which are getting flagged. The board is built on data AI Mojo already stored, but it changes how the whole team feels about the queue, turning a long list of drafts into a clear, ranked priority list that everyone can agree on without another meeting.
Questions
Common questions about SleekView Feedback for AI Mojo
No. SleekView reuses whatever columns AI Mojo already writes. You map the existing meta keys for votes, status, and category, and the board renders. There is no parallel schema, no migration, and no risk of the board falling out of sync with AI Mojo itself.
Yes. Voting is decoupled from the AI Mojo admin. Anonymous visitors can vote with cookie scoped tokens, logged in users can vote with their user ID, and you choose which WordPress roles can change status or category. Editors keep admin, visitors only get the board.
Regeneration usually creates a new AI Mojo row, which means a new card on the board with a fresh count. If your setup overwrites the original row, the existing vote count is preserved. The behaviour matches whatever AI Mojo already does, since SleekView never duplicates data.
Yes. SleekView fires actions when a row status or category changes, so any plugin that listens for those hooks can send Slack messages, emails, or webhook calls. Several teams pipe high vote hallucination flags straight into their bug tracker for triage.
Yes. The board paginates server side and only loads the rows for the current page. Indexed status and date columns stay quick at scale. For very large archives, scoping the board by campaign or month keeps the page snappy without losing context.
Yes. SleekView can read directly from the standard wp_posts and wp_postmeta tables. As long as AI Mojo writes a row per draft with the columns you need for votes, status, and category, the board renders without any custom setup.
Yes. The board can be set to public read with anonymous voting. Clients land on the link, see the queue, vote on the prompts they like, and never see the WordPress admin. You stay in control of which AI Mojo rows are visible through the filter.
Each AI Mojo row stays a single card. The card can display fields from both text and image meta, so a mixed media draft shows the headline, a thumbnail, and the vote count together. Editors review the whole asset in one place without bouncing between screens.
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