Automated Muse.ai Upload Tagging Handoff
When a new video is uploaded to Muse.ai, WebRun checks whether it has a title, description, and tags, creates a Trello card for any upload still missing metadata, and sends a WhatsApp alert to the teammate responsible for keeping the library searchable.
How do I make sure new Muse.ai uploads get tagged and stay searchable?
WebRun checks every new Muse.ai upload for a title, description, and tags, and creates a Trello card for anything left incomplete. It then sends a WhatsApp alert to the teammate responsible for the video library, so untagged uploads get handled the same day instead of becoming impossible to find later.
- Untagged uploads get caught the same day they're added
- Every video handoff includes a direct link, not just a name
- Search stays reliable because nothing sits untagged for long
Built for Media librarians · Content teams · Video archivists · Marketing teams
What does WebRun do on every run?
The exact actions WebRun takes, in order - in plain language, so you can adjust anything.
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WebRun signs in and gets to work
Opens
muse.aiin a real browser with your saved login - no setup, no API keys. -
1
Muse.ai - check new upload metadata
- Open the recent uploads list in Muse.ai
- Check each video's title, description, and tags
- Flag anything left incomplete
Done when Every recent upload has been checked for complete metadata.
-
2
Trello - create a tagging card
trello.com
WebRun opens Trello to create a tagging card. - Open the library board in Trello
- Create a card for each upload missing metadata
- Link each card to its video in Muse.ai
Done when A card exists for every upload that still needs tagging.
-
3
WhatsApp - alert the library teammate
whatsapp.com
WebRun opens WhatsApp to alert the library teammate. - Count how many uploads need tagging
- Send the library teammate a short alert with the count
- Skip the alert if nothing needs tagging
Done when The library teammate has been alerted, or skipped if nothing needs tagging.
How is each run configured?
Secure by default
Connect once, stays signed in
WebRun signs in once and keeps each session in a persistent environment, so every run picks up right where it left off.
Every action is checked against this policy before it runs.
Questions, answered
Does it write the tags itself?
No. WebRun only flags what's missing and hands it off. Writing the actual title, description, or tags is left to your teammate.
Why does tagging matter for Muse.ai?
Muse.ai's search works from titles, descriptions, and spoken or on-screen content, so untagged uploads are harder to find later. This just makes sure nothing slips through untagged.
Will it alert the teammate for every single upload?
It creates a Trello card for each one, but only sends a WhatsApp alert summarizing the batch, so they're not pinged separately for every video.
Related templates
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