SleekView Feedback for Aiomatic
Aiomatic stores prompts, generated drafts, and run history inside WordPress. SleekView Feedback turns those rows into a sortable, upvoteable board so editors and readers can flag bad outputs, request better prompts, and track which ideas actually ship.
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From Aiomatic logs to a live review board
Aiomatic writes every job, prompt, draft, and error to its own tables and post meta inside your WordPress database. The data is rich, but the admin screens are built around running the next job, not around editors arguing about whether the last hundred drafts were any good. Once volume grows, prompt revisions get buried, hallucinations get re-shipped, and the team has no shared view of what is working.
SleekView Feedback reads any Aiomatic source you point it at, including a custom query against wp_posts, the aiomatic_logs table, or a saved view of postmeta rows tagged by job. It renders one card per generation, sorted by upvotes, with a status pill, a category tag, and a vote button that writes straight back to the column you chose.
You stop chasing prompt feedback through Slack threads and screenshots. Writers, SEOs, and clients land on a clean board, upvote the prompts they want kept, downflag the drafts that hallucinated, and your editorial queue stops drifting from what the audience actually wants.
Workflow
From Aiomatic generations to a public board
Pick the Aiomatic source
Map vote, status, category
Embed the feedback view
Votes write back to Aiomatic
Sample board
Sample Aiomatic review board
Comparison
Aiomatic admin vs SleekView Feedback
Aiomatic default screens
- Generation logs sit in a back office table that only admins ever open
- No way for editors or readers to upvote prompts that produced good drafts
- Hallucination reports live in Slack screenshots, not next to the draft
- Status of each run is buried in row level meta with no shared view
- No public queue to show clients which prompts are queued, shipped, or killed
SleekView Feedback
- One card per Aiomatic run with title, votes, status pill, and category tag
- Upvote writes back to the source column so future jobs can sort by score
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Filter by model, campaign, or status using any column already in
wp_posts - Embed on a public page or behind a login with one shortcode or block
- Editors stop arguing in Slack and start voting on prompts in WordPress
Features
What SleekView Feedback gives you for Aiomatic
Prompt review built in
Each Aiomatic prompt template becomes a votable card. Writers see which prompts the team prefers, which ones produce hallucinations, and which ones get retired. The board acts as a living changelog of your generation strategy without anyone touching a spreadsheet.
Hallucination reports inline
Add a Hallucination category to the board and editors can flag any generation with one click. The flag lives next to the source row, so your prompt engineer can fix the template before the next run instead of finding out from a reader email weeks later.
Upvotes feed back into runs
Because votes write to the source column, you can sort Aiomatic queues by score, give high voted prompts more budget, and quietly drop ones that nobody likes. The feedback loop stops being a feeling and becomes a number in the database.
Audience
How teams use the Aiomatic feedback board
Editorial team review
Internal editors upvote the Aiomatic drafts worth publishing and flag the ones that need a rewrite. The board replaces a messy Google Doc and gives the editor in chief one screen to triage the queue every morning.
Client facing prompt vote
Agencies share the board with clients so they can vote on which Aiomatic prompts to keep running. The client sees exactly what is shipping next week and feels in control without ever opening the WordPress admin.
Quality control queue
Compliance teams use the board as a hallucination queue. Anything flagged with a high vote count gets reviewed first, and resolved items move to a Fixed status so the audit trail is visible without trawling logs.
The bigger picture
Why an Aiomatic feedback board changes the workflow
Aiomatic is great at producing volume. It is much worse at telling you which of those generations should actually be published, refined, or thrown away. Most teams end up with a back office full of drafts and a Slack channel full of opinions, and the two never meet.
Editors miss the prompts that work, prompt engineers keep shipping templates that hallucinate, and clients lose trust because nobody can show them what was decided. A feedback board changes that pattern. Generations stop being throwaway artifacts and start being something the team and the audience react to in public.
Upvotes give you a cheap, honest signal about which prompts deserve more budget. Hallucination flags give you a backlog that is sorted by impact instead of by whoever shouted loudest in the last meeting. And because everything writes back to the source row, the next time Aiomatic runs it already knows what worked.
The result is fewer wasted runs, fewer embarrassing posts, and a much shorter feedback loop between the prompt you write today and the article that goes live tomorrow.
Questions
Common questions about SleekView Feedback for Aiomatic
No. SleekView Feedback reads directly from whatever table or post type Aiomatic is using. You point it at the source, pick the columns for votes, status, category, author, and title, and the board renders. No ETL job, no sync, no duplicated data. Anything Aiomatic writes shows up on the next page load.
 Yes. SleekView ships with anonymous voting backed by cookies, so public visitors can upvote prompts and drafts without an account. You can also require login if you want the board restricted to editors or paying members, and the same view handles both modes with a single toggle.
 Each visitor gets a cookie scoped vote token per item. Logged in users are tracked by user ID. The plugin also exposes a rate limit so a single IP cannot spam the board, which is enough to keep public boards honest without forcing a signup wall in front of readers.
 Yes. SleekView accepts a WHERE clause when you wire up the data source, so you can scope the board to GPT 4 runs, Claude runs, runs from a particular campaign, or any combination of meta fields Aiomatic already stores. Different boards on different pages can use different filters.
 Hallucination is just a category value on the row. You can write it into a meta key Aiomatic already understands or a dedicated column. Either way it shows up in the WordPress admin alongside the original prompt, so the prompt engineer who wrote the template can see the flag without leaving WordPress.
 They write back to the source column, which means Aiomatic and any of your own queries can sort future jobs, retries, and bulk runs by that score. Several teams use the score to gate which prompts get more budget, which makes the board operational and not just a vanity dashboard.
 Both. SleekView ships as a Gutenberg block, an Elementor widget, a Bricks element, and a classic shortcode. Theme developers can also call the render function from PHP and pass a configuration array, so you can mount the board on any template without touching the page editor.
 The view paginates server side and only loads the rows it needs to render the current page. Indexed columns stay fast even on long tables. For really big projects, scoping the board by campaign or date keeps both the query and the audience focused, so the page feels snappy even at scale.
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