CHATBOTS
Agent That Turns Zoom Action Items Into Linear Tickets and Answers Follow-Ups
An agent reviews the Zoom transcript, opens Linear tickets for committed action items with the right owners.
How it runs
The automated pipeline, trigger to output.
- TriggerZoom recording completed webhookZoom
- ActionAgent fetches transcript and identifies commitmentsZoom
- LogicDecide real action items vs passing remarksOpenAI
- ActionCreate Linear tickets with ownersLinear
- TriggerSlack mention asks a follow-up questionSlack
- OutputAnswer in Slack with ticket status and linksSlack
What it does
Runs an agent over a finished Zoom meeting that decides which discussion points are genuine commitments versus passing remarks, creates Linear tickets for the real ones, and assigns owners inferred from the conversation. Afterward it acts as a Q&A bot in Slack, answering 'did we file a ticket for the billing bug?' by combining what was said with the tickets it created.
When to use it
When meeting follow-through slips because action items never make it into your tracker. Best for engineering and product teams on Linear who want commitments captured automatically and a bot that can speak to both the discussion and the resulting work.
How it works
- 1Zoom fires the recording-completed webhook.
- 2The agent fetches the transcript and reasons about which items are real commitments and who owns each.
- 3For each committed item, it creates a Linear ticket with a description and assignee.
- 4It indexes the transcript alongside the ticket links for later questions.
- 5A Slack mention triggers a follow-up; the agent answers using transcript context plus live ticket status, linking the relevant Linear issues.
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.
Run this workflow in your colony.
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