> ## Documentation Index
> Fetch the complete documentation index at: https://docs.blinko.space/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Post Processing

> Automatically process newly created note content

# AI Post Processing

AI post-processing automatically analyzes note content using AI after creation or updates, generating summaries, tags, or performing other analysis operations.

<img className="rounded-2xl" src="https://mintcdn.com/blinko/AgHVAkfwbrWVbQ0E/images/2025-09-19-16-23-48.png?fit=max&auto=format&n=AgHVAkfwbrWVbQ0E&q=85&s=f38220a0dd9f526392c336a3e15c1c08" width="1605" height="851" data-path="images/2025-09-19-16-23-48.png" />

## How to Enable

1. Open Settings → AI Settings
2. Find "AI Post Processing" section
3. Enable "Enable AI Post Processing" toggle

## Processing Modes

### Add as Comment

* AI analysis results are added as comments below the note
* Original note content remains unchanged
* View AI's analysis process and results

### Auto Add Tags

* AI automatically recommends and adds relevant tags based on content
* Helps better organize and categorize notes
* Improves search and discovery efficiency

### Both

* Generates both comments and adds tags simultaneously
* Most comprehensive AI processing approach

## Custom Prompts

### Post Processing Prompt

Set the prompt used by AI when analyzing notes:

```
Analyze the following note content and suggest appropriate tags and provide a brief summary
```

### Tags Prompt

Dedicated prompt for generating tags:

```
Recommend 3-5 relevant tags for the following content
```

## Workflow

1. **Create Note** - User creates a new note
2. **Trigger Processing** - System automatically detects new note
3. **AI Analysis** - Analyzes content using configured prompts
4. **Generate Results** - Adds comments or tags based on processing mode
5. **Notify User** - Sends notification when AI processing is complete

## Use Cases

### Content Analysis

* Automatically summarize long text content
* Extract key information and points
* Analyze sentiment and themes

### Smart Tagging

* Automatically categorize content
* Identify professional domains and topics
* Build consistent tagging systems

### Workflow Integration

* Automatically process meeting notes
* Intelligently organize study notes
* Classify and manage project documentation

## Important Notes

* Processing runs asynchronously in the background without affecting note creation speed
* AI analysis quality depends on selected model and prompt settings
* Can be disabled at any time without affecting already processed content
* Supports custom prompts to adapt to different use cases

## Configuration Tips

### Prompt Optimization

* Adjust prompts based on personal needs
* Clearly specify expected output format
* Include relevant contextual information

### Mode Selection

* New users recommended to start with "Add as Comment" mode
* Switch to "Both" for best results after familiarization
* Use only "Auto Add Tags" if tag management is well-organized

<Warning>
  **Important Reminders**:

  * AI post-processing requires AI to be enabled and models configured first
  * Processing results may require manual review and adjustment
  * Regularly check the quality of AI-generated tags and comments
</Warning>