OTHER

Draft Zoom training docs for human review before publishing to ReadMe

Transcribes and chapters a finished Zoom recording into a draft, posts it to Slack for an approver to accept or reject, and only publishes the doc to ReadMe once approved.

CategoryOther
Enginesim
Difficultyintermediate
Triggerwebhook
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording.completed webhookZoomZoom
  • ActionTranscribe audio with ElevenLabsElevenLabsElevenLabs
  • ActionChapter and draft docOpenAI
  • OutputPost draft to Slack for approvalSlack
  • LogicBranch on approve or reject
  • OutputPublish approved doc to ReadMeReadMeReadMe

What it does

Turns a Zoom recording into a chaptered draft, then routes it through a human approval step in Slack before anything reaches the public knowledge base. Approvers can greenlight as-is or send it back.

When to use it

For knowledge bases where accuracy matters and a raw auto-transcript shouldn't go live unedited, such as compliance, security, or customer-facing process trainings. Use it when a subject-matter owner needs the final say.

How it works

  1. 1A Zoom `recording.completed` webhook fires.
  2. 2ElevenLabs transcribes the recording audio.
  3. 3An OpenAI step chapters the transcript and writes a draft title and summary.
  4. 4The draft is posted to a Slack channel with Approve and Reject actions and a link to the full text.
  5. 5A logic branch waits on the approver's choice: Reject ends the run with a note; Approve continues.
  6. 6On approval, the doc publishes to ReadMe and a confirmation is posted back to the Slack thread.

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 OpenAIModels, embeddings, files.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Connect ReadMeAPI docs, changelog, auth.
  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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