AI & RAG

AI curator that refreshes stale ReadMe training docs from new Zoom sessions

An agent watches incoming Zoom trainings, finds the existing ReadMe doc on the same topic, and decides whether to update the old doc in place or publish a new one.

CategoryAI & RAG
Enginepaperclip
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerZoom recording.completed webhookZoomZoom
  • ActionTranscribe session with ElevenLabsElevenLabsElevenLabs
  • ActionAgent searches ReadMe for matching docReadMeReadMe
  • LogicDecide: update, create, or skip
  • ActionApply update or new page in ReadMeReadMeReadMe
  • OutputPost change summary to SlackSlack

What it does

Runs an agent that treats the knowledge base as something to maintain, not just append to. For each new Zoom training it searches ReadMe for an existing doc on the same subject and decides whether the new session supersedes it, supplements it, or warrants a brand-new page.

When to use it

When the same trainings get re-run as processes evolve and your ReadMe is filling up with near-duplicate, outdated pages. Use it to keep one authoritative doc per topic that reflects the latest session.

How it works

  1. 1A Zoom `recording.completed` webhook fires.
  2. 2ElevenLabs transcribes the new session.
  3. 3The agent chapters the transcript, then searches ReadMe for existing docs covering the same topic.
  4. 4It reasons over the match: if a clear prior version exists, it merges new content and revises the page; if the topic is materially different, it drafts a new doc; if redundant, it skips.
  5. 5The agent applies the chosen action via the ReadMe API and posts a summary of what it changed to Slack.

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 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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