AI AGENTS
On-Demand Zoom Clip and Task Pull from Slack
A teammate asks in Slack for a topic from a recent Zoom call; the agent finds the matching moments, clips them, and creates a task for any commitment tied to that topic.
How it runs
The automated pipeline, trigger to output.
- TriggerSlack clip request commandSlack
- ActionLocate recording and load transcriptZoom
- ActionFind matching segments with LLMOpenAI
- ActionTrim requested clipsZoom
- LogicBranch on commitment found
- ActionCreate Linear issue for commitmentLinear
- OutputReply in Slack thread with clipsSlack
What it does
This agent turns a Slack request into a targeted clip pull. Someone asks for a specific topic, decision, or speaker from a recent Zoom recording, and the agent searches the transcript, returns the relevant timestamped clips, and files a task for any commitment connected to that topic. It is precision retrieval rather than a full recap.
When to use it
Use it when people remember something was said in a meeting but cannot find it, or need a single clip to share. Great for teams who live in Slack and want self-serve access to call moments without scrubbing recordings.
How it works
- 1A Slack slash command or mention triggers the workflow with the requested topic and meeting reference.
- 2The agent locates the matching Zoom recording and loads its transcript.
- 3An LLM finds the segments relevant to the request and detects any commitment tied to that topic.
- 4The agent trims clips for the matched moments.
- 5A logic step branches: if a commitment was found, it creates a Linear issue assigned to the named owner; otherwise it skips task creation.
- 6The agent replies in the same Slack thread with the clip links and any issue it created.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect ZoomMeetings, recordings, transcripts.
- 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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