Automate topic-based news collection, centralize data in Airtable, and receive Slack updates.
This AI agent continuously monitors defined news topics using Linkup to surface recent and relevant articles. It extracts key data fields such as title, publication date, and a concise summary for each item. The results are stored in Airtable as structured records and Slack is notified once processing completes.
Key actions the AI agent performs end-to-end.
Monitor defined topics across the web using Linkup.
Extract article data including title, publication date, and summary.
Store each article as a record in Airtable.
Organize extracted data into structured fields for review.
Filter results by date to keep content current.
Notify Slack when the digest is ready.
This section highlights concrete workflow improvements by contrasting current pain points with tangible outcomes after adopting the AI agent.
A simple 3-step flow that non-technical users can follow.
Set how often the AI agent runs and which topics/date range to monitor.
The AI agent sends the topics to Linkup and receives a structured list of articles with title, URL, summary, and date.
The AI agent saves articles to Airtable and posts a Slack notification when processing completes.
A realistic scenario showing setup, run, and outcome.
Scenario: A product marketing team wants weekly updates on competitor mentions for Product Z. They configure topics: 'Product Z', 'Product Z competitor', and set a 7-day window. The AI agent runs every Monday at 08:00, queries Linkup, and returns 5 relevant articles. It stores these as records in the Airtable base 'News Monitor' and posts a Slack notification with a digest of 5 new items and links to the Airtable records.
Roles that gain practical value from this AI agent.
Need timely brand mentions and sentiment insights without manual curation.
Gather source material efficiently for reports and studies.
Stay informed on market shifts and opportunities with minimal effort.
Curate credible sources for editorial calendars and briefs.
Monitor competitor activity and technology trends to inform roadmaps.
Automate literature discovery and reference gathering.
Tools connected to the AI agent and what happens inside each.
Sends topics to the Linkup API and returns a list of articles with title, URL, summary, and date.
Creates new records for each article in the chosen base and table, including title, date, summary, and URL fields.
Posts a channel notification when processing completes, with a digest and links to Airtable records.
Concrete scenarios where this AI agent adds value.
Common questions about using this AI agent.
The AI agent stores article title, URL, publication date, and the extracted summary. Additional fields like topic and source can be added. Access is controlled by your Airtable permissions. The AI agent does not modify records unless you configure it to.
Yes. You can set topics, time ranges, and freshness windows for each run. The AI agent uses your configured keywords to filter results by date and relevance. You can update these settings at any time without changing the automation schedule. Changes take effect on the next run.
The schedule is fully configurable. By default, it runs weekly, but you can switch to daily or custom intervals. Each run queries Linkup with your current topics and saves new results to Airtable. Slack notifications are sent only after new articles are stored.
Notifications go to the Slack channel you specify in the integration settings. You can customize the message content to include a digest, counts, and direct links to Airtable records. Permissions in Slack determine who can view the digest.
The AI agent will continue to run on your schedule, but results may be incomplete if API quotas are hit. You can upgrade or adjust quotas in Linkup, and you’ll receive alerts when limits approach. The system will retry on the next cycle and preserve existing records.
Yes. The AI agent is designed to be adaptable to alternative databases. You can replace the storage node with a Notion, Google Sheets, or other database integration without changing the overall workflow. Data transfer and field mapping are configured in the integration settings.
Yes. You can export the Airtable data as CSV or JSON from Airtable. The AI agent stores structured fields so exports preserve the article title, date, URL, and summary. You can also connect downstream tools to further process the data.
Automate topic-based news collection, centralize data in Airtable, and receive Slack updates.
