SUMMARIZATION

Zoom Webinar to ReadMe How-To Plus Auto-Generated FAQ from Q&A

An agent processes a Zoom webinar into a chaptered ReadMe how-to and separately mines the live Q&A segment into a standalone FAQ page, cross-linking both.

CategorySummarization
Enginepaperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording completedZoomZoom
  • ActionDetect talk vs Q&A boundaryOpenAI
  • ActionBuild chaptered how-to + TL;DROpenAI
  • ActionExtract + dedupe Q&A into FAQOpenAI
  • ActionPublish how-to to ReadMeReadMeReadMe
  • OutputPublish cross-linked FAQ pageReadMeReadMe

What it does

An agent-driven flow that produces two coordinated docs from one webinar. From the main talk it builds a chaptered how-to with a TL;DR; from the question-and-answer portion of the transcript it extracts each distinct question, writes a clean answer, and publishes a separate FAQ page. The how-to and FAQ are cross-linked so readers move between them.

When to use it

Use it for webinars with a substantial live Q&A worth preserving as its own searchable resource — product launches, training sessions, AMA-style events where the audience questions are as valuable as the prepared content.

How it works

  1. 1A Zoom recording-completed event fires.
  2. 2The agent fetches the transcript and detects the boundary between the talk and the Q&A segment.
  3. 3From the talk, OpenAI builds chaptered Markdown with timestamps and a TL;DR.
  4. 4From the Q&A segment, the agent extracts distinct questions and drafts answers, deduping near-identical ones.
  5. 5The how-to article is published to ReadMe.
  6. 6The FAQ page is published to ReadMe and cross-linked with the how-to.

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
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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