SUMMARIZATION

Daily Loom standup roll-up into a Notion team brief

On a daily schedule, transcribes every Loom standup video posted by the team since yesterday, summarizes them into one written brief, and publishes it as a dated Notion page.

CategorySummarization
Enginesim
Difficultybeginner
Triggerschedule
Steps5
Setup~5 min

How it runs

The automated pipeline, trigger to output.

  • TriggerDaily schedule at standup cutoff
  • ActionList Loom standup videos since last runLoomLoom
  • ActionFetch transcript for each videoLoomLoom
  • ActionSummarize transcripts into structured briefOpenAI
  • OutputPublish dated brief to Notion databaseNotionNotion

What it does

Each morning this workflow gathers the async standup videos your team recorded in Loom, turns each one into text, and folds them into a single written brief covering what everyone did, what they're doing next, and where they're blocked. The finished brief lands as a clean, dated page in a Notion database so the whole team can skim standup in 60 seconds instead of watching ten videos.

When to use it

Use this when your team runs async standups via Loom across time zones and you want a durable written record rather than a wall of video links. It replaces the daily "did everyone post?" scramble with one searchable page per day.

How it works

  1. 1A daily schedule fires at your standup cutoff time.
  2. 2The workflow lists Loom videos shared to the standup space since the last run.
  3. 3For each video it pulls the transcript from Loom.
  4. 4OpenAI summarizes the combined transcripts into a structured brief: highlights, in-progress items, and blockers grouped by person.
  5. 5The brief is written as a new dated page in your Notion standup database, ready to read.

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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