SUMMARIZATION

Zoom Webinar to ReadMe Article with Slack Approval Gate

Drafts a chaptered ReadMe how-to from a Zoom webinar, then posts the TL;DR to Slack for a human approve/reject decision before the article is published live.

CategorySummarization
Enginesim
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionChapters + TL;DR from transcriptOpenAI
  • ActionCreate ReadMe draftReadMeReadMe
  • ActionPost TL;DR to Slack for approvalSlack
  • LogicBranch on approve / reject
  • OutputPublish on approve, notify threadReadMeReadMe

What it does

Same chaptering and TL;DR generation as the core webinar-to-docs flow, but with a human-in-the-loop gate. After the draft is built it posts the proposed title and TL;DR to a Slack channel with approve/reject actions. Only on approval does it flip the ReadMe page from draft to published; on rejection it leaves the draft and notes who declined.

When to use it

Use it when AI-generated docs must not go live unreviewed — regulated products, customer-facing knowledge bases, or any team that wants editorial sign-off without leaving Slack.

How it works

  1. 1A Zoom recording-completed event fires.
  2. 2The transcript is fetched and sent to OpenAI to produce chapters with timestamps and a TL;DR.
  3. 3The article is created as a ReadMe draft.
  4. 4A Slack message posts the title and TL;DR with Approve and Reject buttons.
  5. 5A branch waits on the response: approve publishes the ReadMe draft live; reject keeps it as a draft.
  6. 6The outcome and reviewer are 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 OpenAIModels, embeddings, files.
  3. 3
    Connect ReadMeAPI docs, changelog, auth.
  4. 4
    Connect SlackChannels, DMs, threads, mentions.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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