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Auto-Create ClickUp Tasks from Loom Standup Blockers
Reads each new Loom standup transcript, isolates the concrete blockers a teammate raised, and opens a ClickUp task per blocker assigned to the speaker with an owner and due date.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Loom standup recording postedLoom
- ActionFetch transcript and extract blockers with OpenAIOpenAI
- LogicFilter to actionable, unresolved blockers
- ActionCreate a ClickUp task per blockerClickUp
- OutputPost created-task summary to SlackSlack
What it does
Converts spoken blockers in async Loom standups into tracked work. When someone says they are stuck waiting on a review or a spec, the workflow turns that sentence into a real ClickUp task instead of letting it evaporate in a video nobody rewatches.
When to use it
Use it when blockers mentioned in standups keep getting forgotten because they live only in video. Good for teams that run standups in Loom but track all delivery work in ClickUp and want zero manual transcription.
How it works
- 1A new Loom standup recording triggers the workflow and its transcript is retrieved.
- 2OpenAI extracts a structured list of blockers, each with the blocked person, what they are waiting on, and an inferred owner.
- 3A logic step filters out vague or already-resolved mentions so only actionable blockers continue.
- 4For each surviving blocker, a ClickUp task is created in the team's blocker list, assigned to the speaker with a next-day due date.
- 5A confirmation summary of created tasks is posted back to Slack.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ClickUpDocs + tasks + chats in one workspace.
- 4Connect SlackChannels, DMs, threads, mentions.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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