MARKETING
Chat-Triggered Webinar Clip Cutter with Airtable Tracking
Ask the CEO agent to clip a specific webinar; it pulls the Zoom recording, proposes which moments to cut, renders the approved clips.
How it runs
The automated pipeline, trigger to output.
- TriggerChat request naming a webinar
- ActionRetrieve recording and transcript from ZoomZoom
- LogicPropose cut list and await approval
- ActionRender approved clipsReplicate
- OutputLog clips and return links via AirtableAirtable
What it does
Gives operators an on-demand way to clip any past webinar through conversation. You name the webinar in chat, the agent proposes the strongest moments and confirms the cut list with you, renders the clips, and records every clip in an Airtable content log so nothing falls through the cracks.
When to use it
Use this when clip creation is ad hoc and judgment-driven rather than fully automated — you want a human in the loop deciding which moments matter, with an assistant doing the fetching, cutting, and bookkeeping.
How it works
- 1A chat message to the CEO agent names the target webinar.
- 2The agent locates and retrieves the recording and transcript from Zoom.
- 3It drafts a proposed cut list of moments and presents it for approval.
- 4On confirmation, Replicate renders each approved clip.
- 5The agent writes a row per clip into Airtable with title, topic, and source timestamp.
- 6It returns links to the finished clips and the Airtable records in chat.
Set it up
What you configure once, before turning it on.
- 1Connect ZoomMeetings, recordings, transcripts.
- 2Connect ReplicateImage, video, and model inference.
- 3Connect AirtableBases, tables, views, automations.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, 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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