CONTENT CREATION

Narrate docs with a length gate and Slack approval for long ones

Narrates each published article automatically, but routes any article over a configurable word count to Slack for human approval before spending ElevenLabs credits.

CategoryContent Creation
Enginesim
Difficultyintermediate
Triggerevent
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerReadMe article publishedReadMeReadMe
  • ActionFetch article and measure word countReadMeReadMe
  • LogicBranch: long articles need Slack approvalSlack
  • ActionRender approved narration with ElevenLabsElevenLabsElevenLabs
  • OutputPost audio link to Slack and attach to articleReadMeReadMe

What it does

Generates accessible audio for published help-center articles while controlling cost: short articles are narrated automatically, but long ones first go to a Slack channel for a quick approve/skip decision so you do not burn ElevenLabs credits on a 5,000-word page nobody listens to.

When to use it

Use this when you want automatic narration but need a spend guardrail. Teams with high doc volume or limited TTS budget can keep humans in the loop only for the expensive renders.

How it works

  1. 1A ReadMe publish event triggers the flow with the article.
  2. 2The article body is fetched and word count is measured.
  3. 3A logic branch checks the count against your threshold: under the limit proceeds straight to narration; over the limit posts an approval prompt to Slack and waits.
  4. 4On approval (or if under the limit), ElevenLabs renders the MP3.
  5. 5The flow posts the finished audio download link back to the Slack channel and attaches it to the ReadMe article.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect ReadMeAPI docs, changelog, auth.
  2. 2
    Connect ElevenLabsText-to-speech, voice cloning.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  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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