CONTENT CREATION

Webinar Recap Editorial Agent with Task Assignment

An agent ingests a finished webinar, drafts a recap post in Notion, generates a hero pull-quote image.

CategoryContent Creation
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom webinar recording completedZoomZoom
  • ActionTranscribe recording audioElevenLabsElevenLabs
  • ActionDraft recap post and pick hero quoteNotionNotion
  • ActionRender hero pull-quote graphicImage generation
  • LogicMatch topic to owning editor
  • OutputOpen assigned Asana task linking the draftAsanaAsana

What it does

Runs the full post-webinar editorial handoff as an agent. It transcribes the recording, writes a recap blog draft, generates a hero pull-quote graphic, and then decides which editor owns the piece by reading the webinar topic and matching it to your editorial owners. It creates the Notion draft and opens a matching Asana task so nothing stalls in someone's head.

When to use it

Use it when recap content routinely gets stuck between produced and assigned. Good for teams where different editors own different content pillars and you want routing decided automatically.

How it works

  1. 1A Zoom webinar recording completes and triggers the agent.
  2. 2ElevenLabs transcribes the recording audio.
  3. 3The agent drafts a recap post and selects one hero quote.
  4. 4An image step renders the hero pull-quote graphic.
  5. 5The agent reasons over the topic to choose the owning editor.
  6. 6It creates the Notion draft page with the embedded graphic.
  7. 7It opens an Asana task assigned to the chosen editor, linking the draft.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ZoomMeetings, recordings, transcripts.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  4. 4
    Connect NotionPages, databases, comments.
  5. 5
    Connect AsanaTasks, projects, milestones — everywhere.
  6. 6
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  7. 7
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  8. 8
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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