Unlock the power of semantic search on your Are.na collections
Swiftask indexes your Are.na blocks to provide meaning-based search. Stop searching by keywords, start searching by ideas and concepts.
Result:
Save valuable time by instantly finding your inspirations and references, even if you forgot the exact terms.
AI Agents
are.na
Connector are.na · Secure OAuth 2.0
Traditional keyword search limits your creativity
On Are.na, your collections grow over time. When looking for a specific reference, keyword search often fails because it doesn't understand the deep meaning of your blocks or the contextual relationships between them.
Main negative impacts:
Loss of valuable references
Relevant blocks remain buried because they don't contain the exact terms searched, despite obvious semantic proximity.
Friction in the creative process
Spending too much time manually digging through your channels interrupts your workflow and creative flow.
Disconnected ideas
Without a tool to link concepts, the relationships between your various collections remain invisible and underutilized.
Swiftask implements semantic search on Are.na. Our AI analyzes the meaning of your blocks and allows you to ask questions in natural language to extract the most relevant information.
BEFORE / AFTER
What changes with Swiftask
Standard Are.na search
You are looking for an image of 'brutalist architecture'. You type the keyword. You only get blocks explicitly tagged with that term. You miss blocks dealing with similar aesthetics but tagged differently.
Semantic search with Swiftask
You ask your Swiftask agent: 'Find me minimalist and massive architectural references'. The AI understands the concept and suggests relevant blocks, even without common keywords.
Enable intelligent search on Are.na in 4 steps
1
STEP 1 : Connect your Are.na account
Authorize Swiftask to access your Are.na channels via a secure connection to index your blocks.
2
STEP 2 : AI semantic indexing
The Swiftask agent analyzes and vectorizes the content of your blocks to understand their deep meaning.
3
STEP 3 : Ask your questions
Query your knowledge base directly in Swiftask using natural language.
4
STEP 4 : Explore results
Get results ranked by semantic relevance, ready to be reused in your projects.
Advanced features for your collections
The AI analyzes text, metadata, and visual context of blocks to create ultra-precise search vectors.
- Target connector: The agent performs the right actions in are.na based on event context.
- Automated actions: Search by abstract concepts, multi-criteria filtering, extraction of relationships between channels, recommendations based on your search preferences.
- Native governance: Your data remains private and is only used to improve your own personalized search engine.
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.
Why switch to semantic search
Intuitive discovery
Find content by intent rather than simple text matching.
Productivity boost
Drastically reduce search time in your personal archives.
Unexpected connections
The AI reveals links between blocks you would never have associated manually.
Conversational interface
Chat with your collections as if you had a dedicated research assistant.
Optimized organization
Easily identify duplicates or redundant themes in your channels.
Privacy and secure access
Swiftask applies enterprise-grade security standards for your are.na automations.
- Read-only access: Swiftask accesses your data only to index it, without modifying your collections.
- Data protection: Your semantic indexes are isolated and protected within your Swiftask environment.
- Compliance: Total respect for visibility permissions defined on your Are.na channels.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
Performance of your search engine
| Metric | Before | After |
|---|---|---|
| Result precision | Dependency on manual tags | AI conceptual understanding |
| Search time | Several minutes | A few seconds |
| Recall rate | Low (missing tags) | High (semantic search) |
Take action with are.na
Save valuable time by instantly finding your inspirations and references, even if you forgot the exact terms.