Swiftask instantly turns your RSS news sources into actionable knowledge for your AI agents. No more manual curation.
Result:
Save hours of daily monitoring and ensure your AI agents always have the latest information.
AI Agents
rss
Connector rss · Secure OAuth 2.0
To stay relevant, your AI agents must be fueled with fresh data. Today, this task is manual: copy-pasting articles, summarizing news, updating documents. It's slow, error-prone, and impossible to maintain at scale.
Main negative impacts:
Rapid data obsolescence
Information changes fast. Without continuous updates, your AI agents respond with outdated data, reducing their business value.
Non-productive workload
Your experts spend valuable time ingesting external content instead of analyzing complex business issues.
Information fragmentation
Content is scattered across multiple sites and feeds, making centralization into a single knowledge base very complex.
Swiftask automates the ingestion of your RSS feeds. As soon as a new entry appears, your AI agent retrieves it, analyzes it, and integrates it directly into your knowledge base.
BEFORE / AFTER
The traditional way
A team member monitors dozens of news sites daily. They manually select relevant articles, copy them, clean them up, and then insert them into the knowledge management system. The time between publication and AI availability can take days.
Automation with Swiftask + RSS
Your RSS feeds are connected to Swiftask. As soon as an article is published, Swiftask detects it, extracts the relevant content, formats it for your AI, and makes it available immediately. Your agents are up-to-date in real time, with zero human intervention.
1
STEP 1 : Add your RSS sources
Simply paste the URL of your favorite RSS feeds into the Swiftask interface. The system automatically recognizes the format.
2
STEP 2 : Define ingestion rules
Configure filters (keywords, categories) so your agent only ingests content that is truly relevant to your business.
3
STEP 3 : Connect your knowledge base
Link the RSS connector to your existing knowledge base in Swiftask. The integration is native and immediate.
4
STEP 4 : Let the AI work
Your agent analyzes, categorizes, and indexes each new article automatically. It is ready to answer questions based on this new data.
The agent does more than copy text. It performs automatic summarization, identifies key entities, and structures data to optimize semantic search.
Each action is contextualized and executed automatically at the right time.
Each Swiftask agent uses a dedicated identity (e.g. agent-rss@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.
Your AI agents have the most recent information, radically increasing the accuracy of their responses.
Your teams are freed from content curation to focus on the strategic exploitation of insights.
Monitor 10 or 1000 RSS sources with the same ease. Automation never gets tired.
Drastically decrease the time your collaborators spend on administrative database feeding tasks.
Centralize business monitoring in a single source of truth, instantly accessible by your AI agents.
Swiftask applies enterprise-grade security standards for your rss automations.
To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.
RESULTS
| Metric | Before | After |
|---|---|---|
| Update time | Several hours per week | Real time (seconds) |
| Volume of monitored sources | Limited by human time | Unlimited |
| Information quality | Variable (human error) | Standardized and structured |
| Monitoring ROI | Low (high human cost) | High (pure automation) |
Save hours of daily monitoring and ensure your AI agents always have the latest information.