SUMMARIZATION

Turn a new Loom recording into a Notion step-by-step doc

Watches a Loom workspace folder, transcribes each new walkthrough video, and publishes a clean step-by-step Notion page with chapter timestamps linked back to the exact moment…

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps4
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom video appears in watched folderLoomLoom
  • ActionFetch transcript and chapter markers from LoomLoomLoom
  • ActionRewrite transcript into chaptered step-by-step proseOpenAI
  • OutputPublish Notion page with embed and timestamp linksNotionNotion

What it does

Every new Loom video dropped in a designated folder becomes a written guide in Notion. The transcript is rewritten into numbered steps, organized under chapter headings, with each heading deep-linked to its timestamp in the original recording.

When to use it

You record process walkthroughs on Loom but your team also needs searchable, skimmable written docs. Use this to keep a living how-to library without anyone manually writing up what they just demoed.

How it works

  1. 1A scheduled check polls a specific Loom folder for recordings added since the last run.
  2. 2For each new video, Loom returns the transcript and any auto-detected chapter markers.
  3. 3An AI step rewrites the raw transcript into clean prose, groups it into logical steps, and assigns chapter headings with their start timestamps.
  4. 4The workflow builds a Notion page: a summary callout, the embedded Loom, then each chapter as a heading whose timestamp links straight to that point in the video.
  5. 5The new page is filed under a Notion database with the recorder's name and date so the guide library stays organized.

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 NotionPages, databases, comments.
  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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