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Category
Business Management
Built by
Beam.ai
Clear stale entries out of an Instapaper queue on an approved schedule, so a Beam agent keeps the reading list current instead of it growing forever unread.
Saved Article Tagging
When a new article lands in an Instapaper queue, a Beam agent reads its title and content, applies the folder and tag structure the team has already set up, work reading, research, later, and files it there instead of leaving everything in one long unsorted list. It uses approved keyword rules to decide the folder, not a judgment call about the article's quality. An article that doesn't clearly match any existing folder is left untagged and flagged in a short summary, so a person can either sort it manually or decide a new folder is needed.
Dead Link Cleanup
On an approved schedule, a Beam agent checks each saved article's original link and removes entries whose source page has gone offline or redirects to an unrelated page, so the reading list only holds articles someone can actually still open. It keeps a short record of what was removed and when, in case a person wants to double check a specific removal later. Where a link merely times out once rather than clearly failing, the agent leaves it in place and rechecks on the next pass instead of deleting on a single failed attempt.
Reading Digest Notifications
A Beam agent compiles a short summary of everything added to an Instapaper queue over the past week, grouped by the folder structure already in place, and sends it to the person who owns that queue so nothing saved gets forgotten. The digest lists article titles and source, not full text, keeping it quick to scan. If the queue had no new saves that week, the agent skips sending a digest rather than emailing an empty one. A person can adjust the schedule or turn the digest off, and that preference is respected on every future run.







