SUMMARIZATION
Zoom Call Action Items to Linear Issues
After a recorded Zoom call, chapters the transcript, extracts action items with owners, and creates a Linear issue for each with a timestamped link to where it was decided.
How it runs
The automated pipeline, trigger to output.
- TriggerZoom recording completed webhookZoom
- ActionFetch or transcribe call audioHugging Face
- ActionChapter call and extract action itemsOpenAI
- LogicSkip if no assignable action items found
- OutputCreate Linear issue per action itemLinear
What it does
Converts spoken commitments from a meeting into tracked Linear issues, each linked to the exact recording moment where the task was raised so context is never lost.
When to use it
For engineering or project teams whose decisions happen on calls but get forgotten because nobody transcribes the to-dos into the tracker.
How it works
- 1Zoom's recording-completed webhook starts the flow.
- 2The transcript is fetched, or generated via a Hugging Face ASR model if absent.
- 3An OpenAI call segments the call into chapters and extracts action items, each with a suggested owner, due hint, and the timestamp where it surfaced.
- 4A logic step skips creating issues when no clear, assignable action items are found, avoiding empty noise.
- 5For each action item the flow creates a Linear issue with title, description, owner, and a `#t=` jump link into the recording chapter.
- 6The created Linear issues, returned as the output, give the team a tracked backlog straight from the conversation.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect LinearIssues, projects, cycles, triage.
- 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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