AI AGENTS
Zoom Recording to Clips and Routed Action Items
When a Zoom cloud recording finishes, an agent pulls highlight moments into shareable clips and turns spoken commitments into owned tasks routed to the right tracker.
How it runs
The automated pipeline, trigger to output.
- TriggerZoom recording completedZoom
- ActionFetch recording and transcriptZoom
- ActionSelect highlight moments with LLMOpenAI
- ActionTrim highlight clipsZoom
- ActionExtract action items and ownersOpenAI
- ActionCreate owner-assigned Linear issuesLinear
- OutputPost clips and issues to SlackSlack
What it does
After a Zoom meeting recording completes, this agent reads the transcript, identifies the most important moments, and produces timestamped highlight clips. It also extracts every action item, infers who owns it, and creates a task for each one in your tracker so nothing said in the call gets lost.
When to use it
Use it for recurring team meetings, customer calls, or planning sessions where decisions and follow-ups are spoken aloud but rarely written down. Ideal when you want clips for async sharing and a clean owner-assigned task list without manual note-taking.
How it works
- 1A Zoom recording-completed event fires the workflow with the meeting and recording IDs.
- 2The agent fetches the recording and transcript from Zoom.
- 3An LLM step scores transcript segments and selects highlight moments, returning start/end timestamps and a one-line caption for each.
- 4The agent requests trimmed clips from Zoom for those ranges.
- 5A second LLM pass extracts action items, each with an owner guess and due hint.
- 6For every action item, the agent creates a Linear issue assigned to the matched owner.
- 7A Slack message posts the clip links and the list of created issues to the meeting channel.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect LinearIssues, projects, cycles, triage.
- 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 it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
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