Swiftask analyzes your Are.na blocks in real time and automatically applies relevant tags. Turn your accumulation of data into a structured library.
Result:
Never lose a reference again. Your Are.na base finally becomes actionable, with zero manual effort.
AI Agents
are.na
Connector are.na · Secure OAuth 2.0
On Are.na, the volume of collected information quickly becomes unmanageable. Without a rigorous tagging system, your blocks accumulate without coherence, making information retrieval complex and frustrating.
Main negative impacts:
Inefficient searching
Finding a specific image or text becomes an endless quest due to non-existent classification.
Cognitive overload
Spending time manually tagging every block distracts you from creating and researching.
Limited discovery
Without cross-tags, the semantic connections between your various projects remain invisible and unexploited.
Swiftask automates the tagging of your Are.na blocks. Thanks to AI, every element is analyzed, classified, and labeled according to your own taxonomies, ensuring perfect organization at all times.
BEFORE / AFTER
Manual management
You add a block to a channel, then you have to manually add tags to remember the context. Often forgotten due to fatigue, tags become inconsistent, leaving your Are.na library cluttered.
Swiftask Smart Tagging
As soon as a new block is added to Are.na, the Swiftask agent analyzes it instantly. It generates and applies the most relevant tags based on the content, making your search fluid and intuitive.
1
STEP 1 : Define your taxonomy
Configure in Swiftask the categories and tags that your agent should prioritize for your Are.na projects.
2
STEP 2 : Connect Are.na
Authorize Swiftask to access your selected channels via a secure connection.
3
STEP 3 : Enable analysis
Turn on the agent. Every new block added will now be processed by the AI in the background.
4
STEP 4 : Refine results
Review suggestions and adjust agent rules for increased accuracy over time.
The agent analyzes metadata, text, and even the visual context of the content to generate relevant tags.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-are.na@swiftask.ai ). You keep full visibility on every action and every sent message.
Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.
Remove the manual effort of classification.
Find your resources instantly thanks to precise tagging.
A taxonomy applied uniformly everywhere.
Manage thousands of blocks without losing structure.
Focus on your ideas, not on filing.
Swiftask applies enterprise-grade security standards for your are.na automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Classification time | Several hours per week | Automated (0 min) |
| Tag accuracy | Subjective and variable | Standardized by AI |
| Search time | Several minutes | A few seconds |
Never lose a reference again. Your Are.na base finally becomes actionable, with zero manual effort.