SUMMARIZATION

Detect spec gaps in Loom walkthroughs and open Linear issues

Transcribes a Loom walkthrough, compares it against the linked Coda spec, flags decisions or requirements missing from the spec, updates the Coda rollup.

CategorySummarization
EngineSim + Paperclip
Difficultyadvanced
Triggerevent
Steps6
Setup~25 min

How it runs

The automated pipeline, trigger to output.

  • TriggerNew Loom recording finishesLoomLoom
  • ActionFetch transcript and read Coda specCodaCoda
  • ActionDiff transcript against spec for gapsOpenAI
  • LogicProceed only if gaps found
  • ActionFlag gaps in Coda rollupCodaCoda
  • OutputOpen Linear issue per gapLinearLinear

What it does

Transcribes a Loom walkthrough and diffs what was said against the existing Coda spec for that feature. When the speaker commits to a decision or requirement that the written spec does not yet cover, it records the gap in the Coda rollup and opens a Linear issue so the spec gets updated.

When to use it

Use it when product decisions are made verbally in Loom faster than specs get written, and you need an automatic check that the written record keeps up. Best for PMs maintaining a spec-of-record in Coda alongside a Linear backlog.

How it works

  1. 1A finished Loom recording triggers the flow.
  2. 2The transcript is fetched and the matching Coda spec page is read for context.
  3. 3OpenAI compares the two and returns a list of gaps: decisions stated on video but absent from the spec.
  4. 4A logic step proceeds only when at least one gap is found.
  5. 5The gaps are appended to the Coda rollup as flagged rows.
  6. 6A Linear issue is opened for each gap with the relevant transcript quote.

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
    Connect LinearIssues, projects, cycles, triage.
  5. 5
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  6. 6
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  7. 7
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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