SUMMARIZATION

Loom Standup to Weekly Progress Brief in Notion

Transcribes each week's Loom standup videos and turns them into a single structured progress brief in Notion, with sections for shipped work, in-progress items, blockers…

CategorySummarization
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule (Friday PM)
  • ActionFetch last 7 days of Loom standups + transcriptsLoomLoom
  • ActionSummarize and classify each transcript (shipped/in-progress/blocked)Hugging FaceHugging Face
  • LogicMerge videos, dedupe updates, attribute owners
  • OutputWrite dated progress brief to NotionNotionNotion

What it does

Every Friday this workflow pulls the week's standup Loom videos, transcribes them, and synthesizes one clean progress brief in Notion. Instead of teammates scrubbing through 30 minutes of recordings, they read a structured page: what shipped, what's in flight, what's blocked, and who owns each thread.

When to use it

Use it when your team posts async video standups to Loom and you want a written record that's searchable, skimmable, and linkable. Ideal for distributed teams where nobody wants to sit through every recording but everyone needs the signal.

How it works

  1. 1A weekly schedule fires Friday afternoon.
  2. 2Loom returns the standup videos recorded in the trailing 7 days, with their transcripts.
  3. 3A Hugging Face summarization model condenses each transcript and classifies statements into shipped, in-progress, and blocked, attributing each to a speaker.
  4. 4The model merges all videos into one brief, deduping overlapping updates and surfacing owners.
  5. 5The brief is written to a new dated Notion page under your team's standup database.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect LoomVideo transcripts, libraries.
  2. 2
    Connect Hugging FaceModels, datasets, spaces — the open-source hub.
  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.

Run this workflow in your colony.

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