SUMMARIZATION

Route Loom walkthrough action items to the right team in Coda

Transcribes a finished Loom walkthrough, extracts action items with owners, and routes each item to the matching team's section in Coda.

CategorySummarization
Enginesim
Difficultyintermediate
Triggerevent
Steps6
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom recording finishesLoomLoom
  • ActionFetch Loom transcriptLoomLoom
  • ActionExtract action items with owner teamsOpenAI
  • LogicBranch by owner confidence
  • ActionFile items into team sectionsCodaCoda
  • OutputReturn filed + triage summaryCodaCoda

What it does

Reads a Loom walkthrough, pulls out every action item the speaker mentions, infers the owning team for each, and files them into the correct team section of a Coda doc. Items with no clear owner land in a triage view so nothing falls through.

When to use it

Use it when walkthroughs span multiple teams (eng, design, QA, support) and you want each team to see only their tasks without a human splitting the list by hand. Best for cross-functional reviews and demo recordings.

How it works

  1. 1A finished Loom recording triggers the flow.
  2. 2The transcript is fetched from Loom.
  3. 3OpenAI extracts a list of action items, each with a candidate owner team and confidence.
  4. 4A logic step branches: confidently-owned items route to their team table; low-confidence or unowned items route to a triage view.
  5. 5Each item is written to the appropriate Coda table section.
  6. 6A summary of what was filed and what needs triage is returned.

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 CodaDocs, packs, automations.
  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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