SUMMARIZATION
On-demand Loom transcription into Coda from a Slack request
When someone posts a Loom link in Slack with a command, it transcribes that specific video, summarizes it into a spec entry, adds it to the Coda rollup.
How it runs
The automated pipeline, trigger to output.
- TriggerSlack message with Loom linkSlack
- ActionParse link and fetch Loom transcriptLoom
- ActionSummarize into spec schemaOpenAI
- ActionAppend row to Coda spec rollupCoda
- OutputReply in Slack thread with row linkSlack
What it does
Lets anyone trigger transcription on demand by dropping a Loom link in Slack. The flow grabs that one video, transcribes it, summarizes it into a structured spec entry, files it in the Coda rollup, and replies in the same Slack thread with a link to the new row.
When to use it
Use it when you only want certain walkthroughs rolled up, not every recording. Lets the team pull a video into the spec doc the moment it matters, straight from chat, without leaving Slack.
How it works
- 1A Slack message containing a Loom link and the trigger command fires the flow.
- 2The Loom video ID is parsed from the link and its transcript is fetched.
- 3OpenAI summarizes the transcript into the spec schema: summary, decisions, follow-ups.
- 4A new row is appended to the Coda spec rollup with the Loom URL.
- 5The flow replies in the original Slack thread with the Coda row link.
Set it up
What you configure once, before turning it on.
- 1Connect SlackChannels, DMs, threads, mentions.
- 2Connect LoomVideo transcripts, libraries.
- 3Connect OpenAIModels, embeddings, files.
- 4Connect CodaDocs, packs, automations.
- 5Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 6Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 7Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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Run this workflow in your colony.
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