PERSONAL PRODUCTIVITY
Loom design critique to ClickUp tasks with timestamp deep-links
Watches for new Loom design-review recordings, splits the spoken critique into discrete action items.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Loom design-review recording publishedLoom
- ActionFetch Loom transcript with timestampsLoom
- ActionSegment transcript into discrete feedback itemsOpenAI
- LogicDrop non-actionable / approval-only lines
- ActionCreate one ClickUp task per item with timestamp deep-linkClickUp
- OutputPost created-tasks summary to design Slack channelSlack
What it does
When a designer or reviewer publishes a Loom walkthrough of a design, this workflow turns the spoken feedback into structured, trackable work. It reads the recording's transcript, identifies each distinct piece of feedback, and files a separate ClickUp task for each one — every task body links back to the exact second in the Loom where that comment was made.
When to use it
For teams running async design critiques instead of live review calls. Reviewers talk through a mockup once; the workflow does the tedious work of converting a 12-minute monologue into a clean, assignable backlog so nothing said in passing gets lost.
How it works
- 1A new Loom recording in the watched workspace fires the trigger and the transcript is pulled.
- 2An LLM segments the transcript into individual feedback items, each tagged with its start timestamp and severity.
- 3A filter drops chit-chat and "looks good" lines so only actionable critique continues.
- 4For each item, a ClickUp task is created with the critique text and a `?t=` deep-link to that moment.
- 5A summary of all tasks created is posted to the design channel in 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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