✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount
✨ New Plugin Alert ✨ SleekRank is now available with €50 launch discount

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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SleekView Feedback board for Aiomatic

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

1

Pick the Aiomatic source

Point SleekView at the table or post type Aiomatic writes to. Generated drafts in posts, prompt templates in a CPT, or run logs in a custom table all work. Apply any WHERE clause to filter by model, campaign, or date so the board only shows the runs your editors care about.
2

Map vote, status, category

Choose which numeric column counts as upvotes, which column holds the status label like draft, published, or rejected, and which column carries the niche or campaign tag. SleekView reads these on every page load so the board reflects whatever Aiomatic and your editors did last.
3

Embed the feedback view

Drop the SleekView block on any page or use the shortcode. Visitors see a sorted feed of generations with title, vote count, author, status pill, and category pill. The board paginates, filters by category and status, and can be made public or restricted to logged in editors.
4

Votes write back to Aiomatic

Every upvote increments the vote column on the source row. That means Aiomatic itself starts learning which prompts and drafts your audience prefers, since you can sort future runs by score, retire low scoring prompt templates, and prioritise the ones earning real attention.

Sample board

Sample Aiomatic review board

A peek at how recent Aiomatic generations look when they land on a SleekView Feedback board, with prompt quality flags, hallucination reports, and requests for new niche prompts mixed together.
248 votes
GPT 4 fashion prompt keeps inventing brand names
Helena R. Hallucination Investigating
187 votes
Add a recipe schema prompt template for food blogs
@chefmarco Prompt request Planned
164 votes
Tone of Claude drafts feels stiff for lifestyle posts
Priya N. Quality In progress
129 votes
Bulk run for product descriptions is much sharper
Tomasz K. Praise Shipped
92 votes
Fact check step gets skipped on retry runs
@seoannika Bug Open
54 votes
Multilingual prompt for German readers, please
Lukas W. Prompt request Open

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
  • 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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