SleekView Feedback for AIthor
AIthor produces articles, headlines, and meta from your prompts inside WordPress. SleekView Feedback wraps those generations in a public board where editors and readers upvote the ones worth keeping, flag the ones that need a rewrite, and track what actually ships.
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Turn AIthor drafts into a shared review queue
AIthor saves every generated draft, prompt, and run setting straight into WordPress, usually as a custom post type with a healthy amount of meta. That is great for an audit trail, but it leaves editors clicking through a list of forty drafts a day, hunting for the one with the broken intro or the hallucinated stat. There is no obvious way to say this prompt is gold and that one keeps fabricating quotes.
SleekView Feedback reads the AIthor post type or custom table, treats each row as a card, and exposes the columns you care about. Pick a numeric field for upvotes, a status field for the label, a category field for the tag, and you have a sortable board the whole team can use. Add a few filters and the same data powers a public reader vote, an internal editorial queue, and a client review screen at once.
The big shift is that prompt and draft quality stops being something only the prompt engineer can see in wp_postmeta. Anyone with the link can land on the board, sort by votes, filter by hallucination, and contribute. Editors stop forwarding screenshots and start voting on the prompts that deserve another run.
Workflow
Wire AIthor into a feedback board
Connect the AIthor source
Pick the vote and status columns
Embed and configure filters
Vote, comment, ship, repeat
Sample board
Sample AIthor review board
Comparison
AIthor list screen vs SleekView Feedback
AIthor default list
- AIthor admin shows a flat list with no votes, no flags, and no priority signal
- Editors review drafts in isolation with no shared queue or audit trail
- Hallucination reports get lost in email and Slack instead of staying on the row
- There is no public board to show contributors which prompts are queued or shipped
- Workflow status changes inside AIthor stay invisible to anyone outside the admin
SleekView Feedback
- Editors upvote the AIthor drafts and prompts they want kept on the roadmap
- Status pills mirror the AIthor workflow stages your team already configured
- Hallucination category turns the board into a triage backlog sorted by impact
- Filter by model, niche, or campaign using any existing meta key on the row
- Embed with one block or shortcode on any page, public or members only
Features
What SleekView Feedback gives you for AIthor
Upvotes that actually matter
Each AIthor draft gets a vote button that writes the new tally back to the source row. Prompt engineers can sort future runs by score, retire prompts that nobody likes, and double down on the ones earning real attention from editors and readers.
Hallucination triage
Treat hallucinations like bugs. Anyone can flag a draft with one click, the flag lives on the AIthor row, and the board sorts the backlog by votes. The prompt engineer sees what to fix first without digging through threads of screenshots.
Status that travels with the draft
Workflow statuses like draft, review, scheduled, and shipped become colour coded pills on the board. Editors see at a glance what is in flight, and clients see exactly what is queued without ever opening the WordPress admin sidebar.
Audience
Where the AIthor feedback board fits
Editorial standup
Editors open the board at the start of the day, triage by votes, push the best AIthor drafts toward publish, and send hallucination flagged ones back for a rewrite. The morning meeting becomes a five minute look at one screen.
Client prompt review
Agencies share a filtered board with the client so they can vote on which AIthor prompts to keep running on their site. Decisions stop happening in long email threads and start happening on a board the client actually enjoys using.
Internal quality audit
Quality teams treat the board as a continuous audit. Drafts flagged hallucination or low quality climb the list when votes pile in, so the most impactful prompt fixes always make it into the next release cycle.
The bigger picture
Why AIthor needs a board outside the post type
Every AI plugin produces drafts faster than humans can review them, and AIthor is no exception. The bottleneck used to be writing. Now it is choosing which draft is worth shipping and which prompt is worth keeping.
The default AIthor screens treat each draft as a row in a list, which is fine for one editor reviewing four posts a day and terrible for a team reviewing forty. A feedback board changes the unit of conversation. Instead of arguing about a draft inside a Google Doc or a Slack thread, the team votes on the AIthor row itself.
Upvotes capture the prompts that deserve another run. Hallucination flags capture the prompts that quietly need to be retired. Status pills capture where every draft is in the pipeline, which means 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 join the team and see immediately which prompts the editors trust. Prompt engineers see exactly which templates are earning votes and which are getting flagged.
The board is small, focused, and built on data AIthor was already storing, but it changes how the whole team feels about AI generated content.
Questions
Common questions about SleekView Feedback for AIthor
No. SleekView reads directly from the AIthor post type or custom table. You configure the data source once, choose the columns for vote count, status, category, author, and title, and the board renders. Any change AIthor makes to a row shows up immediately on the next page load.
Yes. The view has an auth mode toggle. You can let any visitor vote with anonymous cookies, restrict votes to logged in users, or scope by user role so only contributors and editors can move the score on a draft. The board layout is identical in every mode.
Anonymous visitors get a cookie scoped vote token per item, so the same browser cannot vote twice. Logged in users are tracked by user ID. There is also a per IP rate limit you can tune, which is enough to keep public boards honest without forcing a signup wall in front of readers.
Yes. SleekView reads whatever status values AIthor writes to your column. If your AIthor setup uses draft, in review, scheduled, and published, those become the four pills on the board, mapped to whichever colours you choose. No new taxonomy or schema is required.
Both modes are supported. You can show only published AIthor posts on a public board, show all drafts on an internal members board, or filter to a specific status so a client sees only what is queued. Different boards on different pages can use different filters.
Regeneration usually creates a new row in AIthor, which means a new card on the board with a fresh count. If your AIthor setup overwrites the same row, the existing vote count carries over. The behaviour is whatever AIthor already does, since SleekView never duplicates data.
Yes. Each card can open a detail panel that pulls comments from any source you configure, including native WordPress comments on the underlying post or a custom thread stored in meta. The vote count, the flag, and the comments all live on the same record.
Server side pagination keeps the page snappy regardless of table size, since only the current page of rows is fetched. Indexed status and date columns stay fast. For very large archives, scoping the board by campaign or month keeps both the query and the conversation focused.
Pricing
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