As your pipeline grows past a handful of drafts, two features keep it manageable: labels for organization and automation rules for the repetitive work.
Labels
Labels are workspace-wide tags for your content packs — campaigns, clients, themes, whatever mental model you already use.
- Create and color them in Settings → Labels.
- Apply them on any content pack.
- Filter the inbox and scheduler by label to focus on one stream of work.
Start with a few broad labels (“Q4 campaign”, “Evergreen”, “Client: Acme”) and refine later. Ten precise labels on day one is a system you won’t maintain.
Automation rules
Automation rules act on content as it arrives from your watchlists, in Settings → Automation.
A rule has three parts:
- Trigger — currently: a new item arrives from a watchlist.
- Filter — optionally limit to a source type (RSS, YouTube, website…).
- Action — auto-create a content pack and generate drafts for your chosen platforms and formats.
So instead of “check watchlist → pick article → click generate” every morning, relevant articles arrive as ready-to-review drafts in your inbox.
Things to know
- Automation consumes AI credits exactly like manual generation — a rule on a busy feed can use credits quickly. Start with one rule on your most relevant watchlist.
- Nothing is published automatically. Rules only create drafts; publishing always goes through your review (and your approval workflow on Pro+).
- Watchlists are checked on a schedule (roughly every 30 minutes), so new items become drafts shortly after they appear — not instantly.
A good first rule
When a new item arrives from my industry-news watchlist → create a LinkedIn draft.
Run it for a week. If the drafts are worth keeping, expand to more formats; if the feed is noisy, tighten the watchlist instead of deleting the rule. 