CONTENT CREATION

Loom to ReadMe product doc with Slack approval gate

Converts a finished Loom feature walkthrough into an illustrated product how-to, posts it to Slack for a human approval decision.

CategoryContent Creation
Enginesim
Difficultyadvanced
Triggerwebhook
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom feature walkthrough finishedLoomLoom
  • ActionFetch transcript from LoomLoomLoom
  • ActionWrite customer-facing how-to docOpenAI
  • ActionGenerate step illustrationsImage generation
  • LogicPost to Slack and wait for approve/rejectSlack
  • OutputPublish approved doc to ReadMeReadMeReadMe

What it does

Transforms a Loom feature walkthrough into a customer-facing product doc with generated visuals, then routes it through a human approval gate in Slack before anything ships to your ReadMe docs site.

When to use it

Use it when documentation is public and accuracy matters. Product managers record a feature demo; the workflow drafts the doc and illustrations, but a human approves the wording before it reaches customers. Approve to publish, reject to discard.

How it works

  1. 1A Loom webhook fires when a feature walkthrough finishes processing.
  2. 2The transcript is pulled from Loom.
  3. 3An LLM writes a customer-facing how-to doc with numbered steps and callouts.
  4. 4Illustrative images are generated for each major step.
  5. 5A logic step posts the draft to Slack with Approve / Reject actions and waits.
  6. 6On approval, the doc is published to ReadMe; on rejection, the run ends without publishing.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect OpenAIModels, embeddings, files.
  3. 3
    Connect Image generationManaged Nano Banana image renders, metered per image.
  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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