PROJECT MANAGEMENT
Compile daily Loom standups into a Notion digest
Each evening, gather the day's Loom standup videos, summarize each into yesterday/today/blockers, and append a dated standup digest page in Notion.
How it runs
The automated pipeline, trigger to output.
- TriggerEvening digest schedule
- ActionCollect today's videos and transcriptsLoom
- ActionSummarize each into Y/T/BlockersOpenAI
- ActionAssemble dated Markdown digest
- OutputCreate digest page in NotionNotion
What it does
It rolls every async standup into one readable record. After the day's recordings are in, the workflow summarizes each Loom video into a tidy yesterday / today / blockers format and writes a single dated digest into a Notion database, giving leads a scannable history without watching six videos.
When to use it
Use it when standups happen in Loom but stakeholders want a written, searchable trail in Notion instead of a wall of video links. Great for managers, PMs, and anyone who needs to skim a week of progress at a glance.
How it works
- 1An evening schedule triggers after standups close for the day.
- 2The workflow collects all Loom standup videos recorded that day along with their transcripts.
- 3An OpenAI call summarizes each transcript into structured yesterday/today/blockers bullets per person.
- 4The summaries are assembled into one Markdown digest with the date as the heading.
- 5A new page is created in the Notion standup database with the compiled digest as the body.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect NotionPages, databases, comments.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run it inside a business
This workflow drops into a full company template. Import the org, and this is one of the playbooks its agents run.
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