Automations - AI Puffer

Overview

Use Automations to run recurring AI Puffer tasks from WordPress. A task can create content, index WordPress content into a vector store, rewrite existing content, or reply to comments. In WordPress admin, go to AI Puffer > Automations. Set up the AI provider, image provider, vector store, or source connection required by the task you want to run. If the Automations menu is not visible, check that the module is enabled and that your WordPress role has access to it.

Create Content

Create posts from topics, CSV, RSS, URLs, and Sheets.

Optimize

Rewrite existing content and update products.

Content Indexing

Add WordPress content to vector stores on a schedule.

Comment Replies

Generate replies for approved WordPress comments.

Settings

Configure schedule, model, prompts, SEO, images, and knowledge.

Queue

Review pending, completed, and failed task items.

Connected Apps

Send automation events to external apps.

Logs

Review automation activity and generated output.

How Automations Run

Automations use .

A task-specific cron event runs on the selected frequency.
The task finds matching work and adds items to the queue.
The main queue processor handles pending queue items in batches.
Each queue item becomes Completed or Failed.

The queue processor handles up to 5 pending items per run. If more items remain, AI Puffer schedules another queue run about 30 seconds later.

WordPress cron depends on site traffic unless you run a real server cron. If site traffic is low, scheduled tasks can run late. If DISABLE_WP_CRON is enabled, set up a server cron job for WordPress.

Create Content

Create content tasks use the Content Writer engine inside Automations. They can create posts, pages, products, or other supported post types.

Manual Entry

Manual Entry reads each non-empty line as a content item. To create a Manual Entry automation:

Click New Task.
Select Manual Entry.
Enter one topic per line.
Add optional keywords, category ID, author, post type, or schedule date with the extended format.
Set the model, prompts, publishing, image, and SEO options.
Save the task.

Basic format:

Topic

Extended format:

Topic | Keywords | Category ID | Author Login | Post Type | YYYY-MM-DD HH:MM

Example:

How to clean leather boots | leather care, boots | 12 | editor | post | 2026-05-01 09:00

CSV

CSV import reads every non-empty row. Download sample CSV To create a CSV automation:

Click New Task.
Select Import CSV.
Upload the .csv file.
Confirm that the rows were detected.
Set the model, prompts, publishing, image, and SEO options.
Save the task.

Column	Field	Required
1	Topic	Yes
2	Keywords	No
3	Category ID	No
4	Author Login	No
5	Post Type	No
6	Schedule	No

Do not include a header row unless you want the header row to be treated as a topic.

RSS Feed

RSS Feed creates posts from feed items. To create an RSS Feed automation:

Click New Task.
Select RSS Feed.
Add one RSS feed URL per line.
Add include keywords if only matching feed items should be used.
Add exclude keywords if matching feed items should be skipped.
Set the model, prompts, publishing, image, and SEO options.
Set the task frequency.
Save the task.

Scheduled RSS tasks use the task’s last run time and RSS history to avoid processing the same feed item again. Run Now checks recent feed items and still skips items that are already in the task history.

Web Page

Web Page creates posts from extracted URL content. To create a Web Page automation:

Click New Task.
Select Web Page.
Add one URL per line.
Set the model, prompts, publishing, image, and SEO options.
Set the task frequency.
Save the task.

AI Puffer extracts readable text from each URL and passes it to the content prompt. Useful placeholders:

Placeholder	Value
`{url_content}`	Extracted page text.
`{source_url}`	Source URL.

Google Sheets

Google Sheets tasks create posts from spreadsheet rows. Open the sample Google Sheet, make a copy, and keep the same column order. AI Puffer reads columns A:G.

Column	Field	Notes
A	Topic	Required.
B	Keywords	Optional.
C	Category ID	Optional.
D	Author Login	Optional.
E	Post Type	Optional.
F	Schedule Date	Optional. Use `YYYY-MM-DD HH:MM`.
G	Status	Leave empty for rows that should be processed.

Column G controls whether a row is processed. If column G has any value, AI Puffer skips that row.

Rows are processed only when column A has a topic and column G is empty. After a post is created, AI Puffer writes Processed on ... to column G so the row is not used again. If you use a header row, put a value in column G for that row, such as Status, so it is skipped.

Before creating the task, set up Google access. AI Puffer uses a Google Cloud to read rows and write the processed status.

Open Google Cloud Console.
Create a new project, or select an existing project.
Go to APIs & Services.
Click Enable APIs and Services.
Search for Google Sheets API.
Select Google Sheets API and click Enable.
Go to Credentials.
Click Create credentials.
Select Service account.
Enter a service account name and click Done.
Open the service account.
Go to Keys.
Click Add key.
Select Create new key.
Select JSON and click Create.

Keep the service account JSON file private. Anyone with this file can use the permissions granted to that service account.

Google downloads a .json file. You will upload it in AI Puffer. Share the sheet with the service account:

Open your Google Sheet.
Click Share.
Copy the service account email from Google Cloud or from the JSON file field named client_email.
Share the sheet with that email as Editor.

Editor access is required because AI Puffer writes the processed status back to column G.

Share the sheet with the service account

Create the automation:

Click New Task.
Select Google Sheets as the task type.
Paste the Google Sheet ID.
Upload the service account JSON file.
Wait for the connection check to pass.
Set the model, prompts, publishing, image, and SEO options.
Set the task frequency.
Save the task.

The Google Sheet ID is the value between /d/ and /edit in the sheet URL.

https://docs.google.com/spreadsheets/d/GOOGLE_SHEET_ID/edit

Optimize

Use Optimize tasks when you want scheduled updates for content that already exists in WordPress.

Rewrite Posts and Pages

Use Rewrite Content to update posts, pages, or custom post types on a schedule.

Rewrite Content updates WordPress content directly. Test with one small task before enabling a broad scheduled rewrite.

Choose which content the task can update.

Filter	Notes
Post Types	Required. Select one or more post types.
Categories	Optional. Applies to category-supported content.
Authors	Optional. Limits updates to selected authors.
Statuses	Published, Draft, or Pending Review.

Use Queue all matching content now to enqueue the matching content one time when the task is saved. If this option is off, scheduled runs process content that becomes eligible later. Select at least one field to update. Each selected field has its own prompt.

Field	What AI Puffer updates
Title	WordPress post title.
Excerpt	WordPress post excerpt.
Content	WordPress post content.
Meta Description	SEO meta description in supported SEO plugins.

Use placeholders in rewrite prompts to include existing post data.

Post placeholders

Placeholder	Value
`{original_title}`	Existing post title.
`{original_content}`	Existing post content without shortcodes and HTML.
`{original_excerpt}`	Existing excerpt.
`{original_meta_description}`	Existing meta description or excerpt fallback.
`{original_focus_keyword}`	Existing focus keyword when available.
`{original_tags}`	Existing tags.
`{categories}`	Existing categories.

Rewrite Content can optionally use vector context from the right-side Advanced card.

Provider	Required setup
OpenAI	Select OpenAI Vector Stores.
Pinecone	Select a Pinecone index and embedding model.
Qdrant	Select a Qdrant collection and embedding model.
Chroma	Select a Chroma collection and embedding model.

The task searches the selected knowledge source using the post title and adds matching context to the AI request.

For Pinecone, Qdrant, and Chroma, use the same that was used when the data was added.

To create a Rewrite Content automation:

Click New Task.
Select Rewrite Content.
Select the post types to update.
Add category, author, or status filters if needed.
Choose whether to queue all matching content now.
Select the fields AI Puffer should update.
Review the prompt for each selected field.
In Advanced, set Context if the rewrite should use stored knowledge.
Set the task frequency.
Save the task.

When the task runs, AI Puffer finds matching content, queues it, and updates only the fields you selected. Run Now queues matching content that is not already present in that task’s queue history.

WooCommerce Products

Use Rewrite Content with the product post type to update WooCommerce product copy on a schedule.

The task can update these product fields:

Field	What AI Puffer updates
Title	Product name.
Excerpt	Product excerpt or short description.
Content	Main product description.
Meta Description	SEO meta description in supported SEO plugins.

Price, SKU, stock, dimensions, purchase note, categories, and attributes can be used in prompts as source data. AI Puffer does not change those WooCommerce product fields in this task. Product prompts can use the normal post placeholders and these WooCommerce placeholders:

Placeholder	Value
`{price}`	Product price.
`{regular_price}`	Product regular price.
`{sku}`	Product SKU.
`{attributes}`	Product attributes.
`{stock_quantity}`	Stock quantity.
`{stock_status}`	Stock status.
`{weight}`	Product weight.
`{length}`	Product length.
`{width}`	Product width.
`{height}`	Product height.
`{purchase_note}`	Product purchase note.
`{product_categories}`	Product categories.

To create a WooCommerce product update automation:

Click New Task.
Select Rewrite Content.
Select product under Post Types.
Add category, author, or status filters if needed.
Choose whether to queue matching products now.
Select the product fields AI Puffer should update.
Review the prompt for each selected field.
In Advanced, set Context if product copy should use stored product or business information.
Set the task frequency.
Save the task.

Content Indexing

Use Content Indexing to add WordPress content to a vector store for later retrieval.

Destination	Required setup
OpenAI	Select an OpenAI Vector Store.
Pinecone	Select a Pinecone index and embedding provider/model.
Qdrant	Select a Qdrant collection and embedding provider/model.
Chroma	Select a Chroma collection and embedding provider/model.

Pinecone, Qdrant, and Chroma require an because AI Puffer needs to create embeddings before writing vectors.

For Pinecone, Qdrant, and Chroma, the index or collection dimension must match the embedding model.

Content selection settings:

Setting	What it does
Post Types	Selects the public post types to index.
Queue existing content now	Queues matching published content for initial indexing.
Auto-index new and updated content	Keeps the vector store updated when selected content changes.
Frequency	Controls how often the task checks for work.

Content Indexing only queues published content.

To create a Content Indexing automation:

Click New Task.
Select Content Indexing.
Choose OpenAI, Pinecone, Qdrant, or Chroma as the destination.
Select the vector store, index, or collection.
For Pinecone, Qdrant, or Chroma, select the embedding provider and model.
Select the public post types to index.
Choose whether to queue existing content now.
Choose whether new and updated content should be indexed automatically.
Set the task frequency.
Save the task.

Queue all existing content now creates an initial batch for matching published content. AI Puffer queues existing content in batches of 200 posts. After the initial queueing pass finishes, the one-time flag is turned off for the task. Run Now queues all matching published content again. Auto-index new and updated content checks posts modified after the task’s last run time. Use this when the vector store should stay in sync with published WordPress content.

Comment Replies

Use Comment Replies to draft and publish replies to WordPress comments.

Setting	What it does
Post Types	Selects which comment areas the task monitors.
Approve Immediately	Inserts the AI reply as an approved comment.
Hold for Moderation	Inserts the AI reply as an unapproved comment.
Do not reply to other replies	Limits the task to top-level comments.
Include keywords	Replies only when the comment contains at least one keyword.
Exclude keywords	Skips comments that contain any excluded keyword.

Use placeholders to include the original comment and post title in the reply prompt.

Placeholder	Value
`{comment_content}`	Original comment text.
`{comment_author}`	Original comment author.
`{post_title}`	Title of the commented post.

To create a Comment Replies automation:

Click New Task.
Select Comment Replies.
Select the post types to monitor.
Choose whether to reply only to top-level comments.
Choose whether replies should be approved immediately or held for moderation.
Add include or exclude keywords if needed.
Review the reply prompt.
Select the model.
Set the task frequency.
Save the task.

Scheduled runs check approved comments. Each run queues up to 50 matching comments. AI Puffer checks whether a comment is already queued or already has a reply from the same task before adding it again. Replies are inserted as child comments. The reply author is the post author when possible, with a fallback to the site administrator.

Settings

Automation settings appear in the right-side cards after you choose a task type.

Task Schedule

Task schedule controls whether the task is active and when AI Puffer checks for work. These settings are in the right-side Schedule card.

Setting	What it does
Active	Schedules the task.
Paused	Stops future scheduled runs. Existing queue items remain in the queue.
Frequency	Controls how often AI Puffer checks the task source.

Available frequencies:

Frequency	Notes
One-time	Runs once.
Every 5 Minutes	Uses a custom WordPress cron interval.
Every 15 Minutes	Uses a custom WordPress cron interval.
Every 30 Minutes	Uses a custom WordPress cron interval.
Hourly	Uses the WordPress hourly interval.
Twice Daily	Uses the WordPress twice-daily interval.
Daily	Uses the WordPress daily interval.
Weekly	Uses a custom WordPress cron interval.

Manual Entry and CSV tasks are one-time tasks. RSS Feed, Web Page, Google Sheets, Rewrite Content, Content Indexing, and Comment Replies can use recurring frequencies. The first run is scheduled shortly after the task is saved or resumed.

AI

AI settings choose the model that writes the content. xAI can be used for text automation tasks such as content creation, rewriting, and comment replies. It can also be selected as an image source for content-writing automation tasks. It is not used for Knowledge Base indexing destinations. To set the model:

In the right-side General card, use Model to choose the provider and model.
Select Length for content creation tasks.
Click the settings icon next to Model to open Model settings.
Adjust Temperature if you want more or less variation.
Set Reasoning only for models that support it. Keep it on None for faster runs.

Setting	What it does
Model	Provider and model used by the task.
Length	Token budget for generated content.
Temperature	Response variation.
Reasoning	Reasoning effort for supported OpenAI and Ollama models.

Length values map to these token budgets:

Length	Token budget
Short	2000
Medium	4000
Long	6000

If the provider or model list is empty, configure the provider first in AI Providers.

Prompts

Prompts are the instructions Automations sends to the selected model. Content creation tasks can generate a title, content, SEO fields, excerpt, tags, inline image prompt, and featured image prompt. To customize prompts:

In the right-side General card, click Customize next to Prompts.
Enable the outputs you want AI Puffer to generate.
Click the edit icon next to an output.
Select a saved prompt or edit the prompt text directly.
Use the variables shown under the editor.
Save the task and run one test item before enabling a larger task.

Output	What it creates
Title	WordPress post title.
Content	WordPress post content.
Meta Description	SEO meta description.
Focus Keyword	Focus keyword in supported SEO plugins.
Excerpt	WordPress excerpt.
Tags	WordPress tags or product tags.
Content Image	Prompt used for inline images.
Featured Image	Prompt used for the post thumbnail.

Available variables change by source.

Source	Variables to use
Manual Entry, CSV, Google Sheets	Use `{topic}` and `{keywords}`.
RSS Feed	Use `{description}` and `{source_url}`.
Web Page	Use `{url_content}` and `{source_url}`.
SEO, excerpt, tags	Use `{content_summary}` when the output should be based on the generated article.

AI Puffer checks required variables before generation. If a required variable is missing, the task will not run until the prompt is fixed.

SEO

Use SEO settings when generated posts should include search metadata. AI Puffer can create a meta description, focus keyword, tags, and a cleaner WordPress URL slug. Pro users can also use Smart SEO to audit and improve generated posts before each automation queue item is completed. To generate SEO output:

In the right-side General card, click Customize next to Prompts.
Enable Meta Description, Focus Keyword, or Tags.
Edit the enabled prompts if needed.
In the right-side Schedule card, click the settings icon next to Status to open Post settings.
Enable Optimize URL if AI Puffer should update the post slug.
Save and test the task.

Output	How it is saved
Meta Description	Saved to the active SEO plugin. If no supported SEO plugin is active, AI Puffer saves fallback post meta.
Focus Keyword	Saved to Yoast SEO, Rank Math, or All in One SEO.
Tags	Saved as WordPress tags or product tags.
URL	Updates the WordPress post slug when Optimize URL is enabled.

Smart SEO

Smart SEO is a Pro feature.

It works in content-writing automation tasks.
It supports Manual Entry, CSV, RSS, URL, and Google Sheets tasks.
It automatically detects the active SEO plugin.
It checks each generated post against that SEO profile.
It improves the generated draft before the post is saved.
For SEO revisions, Smart SEO may use a quality-focused model from the same AI provider selected for generation, never switches providers, and uses the selected deployment or local model for Azure and Ollama.
It tries to improve the generated draft up to 100/100.
It can run up to three SEO revisions.
If the generated post cannot reach 100/100, AI Puffer keeps the best-scoring revision.
In Automations, Smart SEO runs in the background for each queue item.
There is no live SEO score during task setup because the content does not exist yet.
After the queue item finishes, AI Puffer saves the final SEO score and Smart SEO details with the generated post.
Free users can still generate meta descriptions, focus keywords, tags, and optimized slugs.

To use Smart SEO in an automation:

Open AI Puffer > Automations.
Create or edit a content-writing task.
Configure the task source, model, prompts, publishing settings, and SEO outputs.
Enable Smart SEO.
Save the task.

Depending on the active SEO plugin profile, Smart SEO can check:

Area	Examples
Focus keyword	Title, introduction, headings, meta description, slug, and duplicate-keyword usage.
Metadata	Meta description presence and length.
Content structure	Content length, heading balance, table of contents, paragraph length, and sentence length.
Links	Internal links, outbound links, and dofollow outbound links when the active SEO plugin scores them.
Media	Image presence and focus-keyword image alt text.
Readability	Transition words, repeated sentence openings, passive voice, and reading ease where supported.

Smart SEO follows the active SEO plugin profile automatically. If more than one supported SEO plugin is active, AI Puffer chooses one profile and shows a warning in Content Writer. For predictable scores, use one SEO plugin at a time.

Some SEO plugin checks are owned by the SEO plugin itself and cannot always be fixed by AI Puffer. For example, plugin-specific premium AI checks or settings-based checks may still appear in the SEO plugin after generation.

Yoast SEO

AI Puffer saves the generated meta description to the Yoast meta description field and the generated focus keyword to the Yoast focus keyphrase field. If Optimize URL is enabled, the slug is built from the focus keyphrase when available. If there is no focus keyphrase, the post title is used. Smart SEO’s Yoast profile is tuned for Yoast SEO analysis and readability checks, including keyphrase placement, meta description length, links, image alt text, and readability signals.

Rank Math

AI Puffer saves the generated meta description to the Rank Math description field and the generated focus keyword to the Rank Math focus keyword field. Smart SEO’s Rank Math profile is tuned for Rank Math’s Basic SEO, Additional SEO, Title Readability, and Content Readability checks.

All in One SEO

AI Puffer saves the generated meta description to All in One SEO and updates the focus keyphrase data used by AIOSEO. Smart SEO’s All in One SEO profile is tuned for TruSEO checks, focus keyphrase analysis, readability checks, and headline score improvements.

The SEO Framework

AI Puffer saves the generated meta description to The SEO Framework description field. The SEO Framework does not provide a native focus keyword field, so AI Puffer does not save a focus keyword for it. Smart SEO’s The SEO Framework profile focuses on title and description behavior because The SEO Framework does not provide a native focus keyword field. If none of the supported SEO plugins are active, AI Puffer still saves the meta description as fallback post meta. WordPress tags and the optimized URL slug still work without an SEO plugin.

Publishing

Publishing settings control the WordPress post created by a content creation task. To set the post target:

In the right-side Schedule card, select the post Status.
Click the settings icon next to Status to open Post settings.
Select the Post Type.
Select the Author.
Select categories if the post type supports categories.
Enable Table of Contents if needed.
Enable Optimize URL if AI Puffer should generate a cleaner slug.

Setting	What it does
Status	Draft, Publish, Pending Review, or Private.
Post Type	Public WordPress post type.
Author	WordPress author.
Categories	Categories assigned to the post when supported by the post type.
Table of Contents	Adds a generated table of contents to the top of the post.
Optimize URL	Updates the WordPress slug after the post is saved.

Schedule

Content creation tasks have a task schedule and a post publishing schedule. The task schedule controls when AI Puffer checks the source and queues work. The post publishing schedule controls the date used for the generated WordPress post.

Publishing mode	What it does
Publish Immediately	Creates the post with the selected post status.
Smart Schedule	Schedules generated posts starting from a selected date and spaced by hours or days.
Use Dates from Input	Reads the date from Batch Editor, Quick Paste, CSV, or Google Sheets.

Supported input date examples:

2026-05-01 09:00
2026-05-01 09:00:30
2026/05/01 09:00
05/01/2026 09:00
01/05/2026 09:00
2026-05-01T09:00:00Z
2026-05-01T09:00:00+02:00

Dates without a timezone are interpreted using the WordPress site timezone.

Images

Image settings can add images inside generated content, set a featured image, or both. To enable images:

In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select the image provider or model from Image source.
Click the settings icon beside Image source to open Image settings.
Set count, placement, WordPress display size, alignment, and provider options.
To change image prompts, in the right-side General card, click Customize next to Prompts and edit Content Image or Featured Image.

Mode	Result
Off	No images are generated or fetched.
Content	Adds images inside the post content.
Featured	Sets a featured image.
Content + Featured	Adds content images and sets a featured image.

Supported image sources:

Source	Setup
OpenAI	Add the OpenAI API key in AI Puffer > Settings > AI and sync image models.
Google	Add the Google API key in AI Puffer > Settings > AI and sync image models.
OpenRouter	Add the OpenRouter API key in AI Puffer > Settings > AI and sync image-capable models.
Azure	Add the Azure endpoint, API key, API version, and image deployment in AI Puffer > Settings > AI.
xAI	Add the xAI API key in AI Puffer > Settings > AI and sync image models.
Replicate	Add the Replicate API key in AI Puffer > Settings > Integrations and sync models.
Pexels	Add the Pexels API key in AI Puffer > Settings > Integrations.
Pixabay	Add the Pixabay API key in AI Puffer > Settings > Integrations.

xAI image generation uses xAI image models such as grok-imagine-image. For content images, placement controls where images appear after the post is saved.

Placement	Result
After 1st H2	Inserts the first image after the first H2 heading.
After 1st H3	Inserts the first image after the first H3 heading.
Every X H2s	Inserts images after every selected number of H2 headings.
Every X H3s	Inserts images after every selected number of H3 headings.
Every X paragraphs	Inserts images after every selected number of paragraphs.
End of content	Adds images at the end of the article.

Pexels can filter by orientation, size, and color. Pixabay can filter by orientation, type, and category.

OpenAI

OpenAI uses your OpenAI API key and one of the image models available in your synced model list. To set it up:

Go to AI Puffer > Settings > AI.
Select OpenAI.
Add your OpenAI API key.
Sync models.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select an OpenAI image model from Image source.

Google

Google uses your Google API key and the Google image models available in your synced model list. To set it up:

Go to AI Puffer > Settings > AI.
Select Google.
Add your Google API key.
Sync models.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select a Google image model from Image source.

OpenRouter

OpenRouter uses image-capable models from your OpenRouter account. To set it up:

Go to AI Puffer > Settings > AI.
Select OpenRouter.
Add your OpenRouter API key.
Sync models.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select an OpenRouter image model from Image source.

If a selected OpenRouter model does not return images, choose another image-capable model from the synced list.

Azure

Azure uses your Azure OpenAI endpoint, API key, API version, and image deployment. To set it up:

Go to AI Puffer > Settings > AI.
Select Azure.
Add the Azure endpoint and API key.
Add or sync the image deployment you want to use.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select the Azure image deployment from Image source.

xAI

xAI uses your xAI API key and synced xAI image models. To set it up:

Go to AI Puffer > Settings > AI.
Select xAI.
Add your xAI API key.
Sync models.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select an xAI image model from Image source.

Replicate

Replicate uses your Replicate API key and synced text-to-image models. To set it up:

Go to AI Puffer > Settings > Integrations.
Select Replicate.
Add your Replicate API key.
Sync Replicate models.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select a Replicate model from Image source.

Pexels

Pexels searches stock photos instead of generating a new image. To set it up:

Go to AI Puffer > Settings > Integrations.
Select Pexels.
Add your Pexels API key, or use the Get Key link to create one.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select Pexels from Image source.
Click the settings icon beside Image source to open Image settings.
Set Orientation, Size, and Color if you want to filter results.

Pixabay

Pixabay searches stock photos, illustrations, or vectors. To set it up:

Go to AI Puffer > Settings > Integrations.
Select Pixabay.
Add your Pixabay API key, or use the Get Key link to create one.
In the right-side Media card, set Images to Content, Featured, or Content + Featured.
Select Pixabay from Image source.
Click the settings icon beside Image source to open Image settings.
Set Orientation, Type, and Category if you want to narrow results.

Provider Options

Provider options control the generation request sent to the selected AI provider. They are separate from WordPress display settings such as image size and alignment. Only options supported by the selected provider and model are shown.

Provider	Available options
OpenAI	Canvas size, quality, output format, compression, background, moderation.
Azure	Canvas size, quality, output format, compression, background.
Google	Aspect ratio, image resolution, and person generation for supported Imagen models. Nano Banana models are included in the Google image model list.
OpenRouter	Aspect ratio and image resolution for models that support image configuration.
xAI	Aspect ratio and image resolution.
Replicate	Model-specific options from synced model schemas.

Pexels and Pixabay are stock image sources. Their filters narrow search results instead of changing an AI generation request.

Image Prompts

For AI image providers, the image prompt controls content images and the featured image prompt controls the featured image. To edit them, in the right-side General card, click Customize next to Prompts and open Content Image or Featured Image. You can use these placeholders:

Placeholder	Replaced with
`{topic}`	Generated title.
`{keywords}`	Generated keywords.
`{post_title}`	WordPress post title.
`{excerpt}`	Generated excerpt.

Knowledge Base

Knowledge Base lets content creation and Rewrite Content tasks use vector data from AI Puffer > Knowledge Base > Data. When enabled, AI Puffer searches the selected source and adds matching context to the generation request. To enable it:

Add data in AI Puffer > Knowledge Base > Data.
In the right-side Advanced card, set Context to OpenAI, Pinecone, Qdrant, or Chroma.
Select the vector store, index, or collection in Source.
Click the settings icon beside Source to open Context settings.
Set Results Limit. For content creation tasks, you can also set Confidence Threshold.
For Pinecone, Qdrant, or Chroma, select the embedding provider and model in Context settings.
Save and test the task.

Provider	Required setup
OpenAI	Select one or more OpenAI Vector Stores.
Pinecone	Select a Pinecone index and the embedding model used when the data was added.
Qdrant	Select a Qdrant collection and the embedding model used when the data was added.
Chroma	Select a Chroma collection and the embedding model used when the data was added.

For Pinecone, Qdrant, and Chroma, use the same embedding model when adding data and when selecting Context in an automation task.

OpenAI

OpenAI uses OpenAI Vector Stores. To prepare a vector store:

Go to AI Puffer > Knowledge Base > Stores.
Select OpenAI as the provider.
Click Create Store.

Enter a store name and create it.
Go to AI Puffer > Knowledge Base > Data and add data to the store.

To use it in Automations:

Add data to an OpenAI Vector Store in AI Puffer > Knowledge Base > Data.
Create or edit the automation task.
In the right-side Advanced card, set Context to OpenAI.
Select one or more vector stores in Source.
Click the settings icon beside Source to adjust Results Limit. Content creation tasks also show Confidence Threshold.

Pinecone

Pinecone stores vectors in an index. AI Puffer creates and searches those vectors with the embedding model you choose. The Pinecone index dimension must match the embedding model. For example, if your index is 3072 dimensions, use a 3072-dimension embedding model. To prepare an index:

Add your Pinecone credentials in AI Puffer > Settings > Integrations.

Go to AI Puffer > Knowledge Base > Stores.
Select Pinecone as the provider.
Select the embedding model you want to use.
Click Create Store.

Enter an index name and use the dimension for the selected embedding model.
Create the index, then add data with the same embedding model.

To use it in Automations:

Create or edit the automation task.
In the right-side Advanced card, set Context to Pinecone.
Select the Pinecone index in Source.
Click the settings icon beside Source to open Context settings.
Select the same embedding provider and model used when you added the data.
Adjust Results Limit. Content creation tasks also show Confidence Threshold.

Qdrant

Qdrant stores vectors in a collection. AI Puffer creates and searches those vectors with the embedding model you choose. The Qdrant collection size must match the embedding model. For example, if your collection is 3072 dimensions, use a 3072-dimension embedding model. To prepare a collection:

Add your Qdrant URL and API key in AI Puffer > Settings > Integrations.

Go to AI Puffer > Knowledge Base > Stores.
Select Qdrant as the provider.
Select the embedding model you want to use.
Click Create Store.

Enter a collection name and use the dimension for the selected embedding model.
Create the collection, then add data with the same embedding model.

To use it in Automations:

Create or edit the automation task.
In the right-side Advanced card, set Context to Qdrant.
Select the Qdrant collection in Source.
Click the settings icon beside Source to open Context settings.
Select the same embedding provider and model used when you added the data.
Adjust Results Limit. Content creation tasks also show Confidence Threshold.

Chroma

Chroma stores vectors in a collection. AI Puffer creates and searches those vectors with the embedding model you choose. Chroma collections do not require a dimension when they are created in AI Puffer, but stored vectors still need a consistent dimension. To prepare a collection:

Add your Chroma endpoint, tenant, database, and API key in AI Puffer > Settings > Integrations.

Go to AI Puffer > Knowledge Base > Stores.
Select Chroma as the provider.
Click Create Store.

Enter a collection name.
Create the collection, then add data with the same embedding model.

To use it in Automations:

Create or edit the automation task.
In the right-side Advanced card, set Context to Chroma.
Select the Chroma collection in Source.
Click the settings icon beside Source to open Context settings.
Select the same embedding provider and model used when you added the data.
Adjust Results Limit. Content creation tasks also show Confidence Threshold.

Limit and Threshold

Use these settings to control how much vector context is added to the task.

Setting	How it works
Results Limit	Maximum number of matching knowledge pieces AI Puffer can use.
Confidence Threshold	How closely a result must match before AI Puffer includes it.

Queue

The queue shows work created by saved tasks and Run Now actions.

Status	Meaning
Pending	Waiting to be processed.
Processing	Currently being handled by the queue processor.
Completed	Finished successfully.
Failed	The queue item returned an error.

Queue controls:

Control	What it does
Search	Searches target identifiers and task names.
Status filter	Shows all items or one status.
Retry	Moves a failed item back to pending and starts queue processing.
Delete	Deletes one queue item.
Delete filtered	Deletes queue items matching the current filter.

Completed content creation items can show the generated post when a post ID is available.

Connected Apps

Automations can send task results to Connected Apps and webhooks.

Event	When it fires
`content.generated`	After a content creation task creates a post.
`task.item_completed`	After a queue item finishes successfully.

Use these events when another system needs the generated post, task result, or queue item details. Recipe templates include generated content or completed task notifications for apps such as Slack, Notion, Zapier, and Make.

Logs

Automation activity can appear in AI Puffer logs.

Task area	Log module
Content creation	`content_writer_automation`
Comment replies	`community_reply_comments`

Queue status and error messages remain visible in the Automations queue.

Troubleshooting

Task did not run

Check these items:

Confirm the task status is Active.
Check the next run time in the task list.
Confirm WordPress cron is working.
If DISABLE_WP_CRON is enabled, configure a server cron job.
Check whether the task already has pending or processing queue items.

Content creation tasks do not queue another scheduled batch while that same task already has pending or processing items.

No items were queued

Possible causes:

Task type	Check
Manual Entry	The input must contain at least one non-empty topic line.
CSV	The CSV must contain topic rows.
RSS Feed	The feed must contain new unprocessed items that pass the filters.
Web Page	The URLs must be reachable and extractable.
Google Sheets	Column A must contain a topic and column G must be empty.
Rewrite Content	The selected post type, status, author, and category filters must match content.
Content Indexing	Matching content must be published.
Comment Replies	Matching comments must be approved.

Queue item failed

Open the queue.
Read the error message.
Fix the provider, model, source, prompt, or destination setting.
Click Retry.

Google Sheets rows are not processed

Check these items:

The Sheet ID is correct.
The service account JSON credentials are valid.
The spreadsheet is shared with the service account email.
Column A has a topic.
Column G is empty.

Content indexing fails

Check these items:

The selected vector store, index, or collection exists.
Pinecone, Qdrant, and Chroma have an embedding provider and model selected.
The selected post types contain published content.
The provider API key is configured in AI Providers.

Comment replies are not created

Check these items:

The comment is approved.
The comment belongs to a selected post type.
The include and exclude keyword filters allow the comment.
The reply prompt is not empty.
The selected model is configured.

Overview

Getting Started

Setup

Modules

Utilities

Developers

Documentation Index

​Overview

Create Content

Optimize

Content Indexing

Comment Replies

Settings

Queue

Connected Apps

Logs

​How Automations Run

​Create Content

​Manual Entry

​CSV

​RSS Feed

​Web Page

​Google Sheets

​Optimize

​Rewrite Posts and Pages

​WooCommerce Products

​Content Indexing

​Comment Replies

​Settings

​Task Schedule

​AI

​Prompts

​SEO

​Smart SEO

​Yoast SEO

​Rank Math

​All in One SEO

​The SEO Framework

​Publishing

​Schedule

​Images

​OpenAI

​Google

​OpenRouter

​Azure

​xAI

​Replicate

​Pexels

​Pixabay

​Provider Options

​Image Prompts

​Knowledge Base

​OpenAI

​Pinecone

​Qdrant

​Chroma

​Limit and Threshold

​Queue

​Connected Apps

​Logs

​Troubleshooting

Overview

How Automations Run

Create Content

Manual Entry

CSV

RSS Feed

Web Page

Google Sheets

Optimize

Rewrite Posts and Pages

WooCommerce Products

Content Indexing

Comment Replies

Settings

Task Schedule

AI

Prompts

SEO

Smart SEO

Yoast SEO

Rank Math

All in One SEO

The SEO Framework

Publishing

Schedule

Images

OpenAI

Google

OpenRouter

Azure

xAI

Replicate

Pexels

Pixabay

Provider Options

Image Prompts

Knowledge Base

OpenAI

Pinecone

Qdrant

Chroma

Limit and Threshold

Queue

Connected Apps

Logs

Troubleshooting