1.Detects new article in category
Integrate Feedly and feed ingestion tools to capture article title, summary, content, URL, publish date, and stream tag.
Create AI-indexed news records from incoming feed items
Automatically ingest new articles in a Feedly category across Feedly, Adalo, Relevance AI, and Zapier Tables. Get instant create and update of AI-indexed records when new articles arrive, when category items publish, or when article URLs show up—so you can reduce reporting work, avoid duplicate indexing, and speed up analytics briefs without manual data entry.
How this automation builds AI-indexed briefing records
When new articles arrive in a Feedly category, delays can stall research and make analytics briefs outdated. This automation ingests feed content, creates app database records and upserts AI-indexed data and table rows—so your team can brief faster and search better.
Feedlyor swap with your favorite app
2.Creates app database record
Integrate Adalo and database mapping tools to map title, description, date, and reference fields from the article item.
Adaloor swap with your favorite app
3.Upserts AI dataset using URL
Integrate Relevance AI and AI indexing tools to upsert content and summary and store stream or tag metadata for search.
Relevance AIor swap with your favorite app
4.Creates table row for access
Integrate Zapier Tables and analytics table tools to create rows and map summary, date, URL, and stream or tag.
Zapier Tablesor swap with your favorite app
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Choose the events that should start your workflow, like a new submission, updated record, completed task, or customer action.
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Let your workflow handle follow-ups, updates, notifications, and reporting so your team can track progress and act faster.
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