ENGINEERING
Loom Review Transcript to Slack Author Ping
After a Loom code-review walkthrough is recorded, transcribes it, generates a short digest of action items.
How it runs
The automated pipeline, trigger to output.
- TriggerLoom review recording completedLoom
- ActionFetch Loom transcriptLoom
- ActionGenerate action-item digestOpenAI
- ActionResolve PR author from GitHubGitHub
- OutputDM author the digest in SlackSlack
What it does
Gives PR authors a fast, written heads-up the moment a video review lands. It transcribes the Loom walkthrough, distills it into a tight list of action items, and sends the author a Slack message so they can start fixes without watching the whole clip first.
When to use it
Use it when reviewers favor Loom but authors live in Slack and want quick, skimmable next steps. Cuts the lag between a review being recorded and the author noticing it.
How it works
- 1A Loom webhook fires when the review recording completes, including the PR number and author handle from the title.
- 2The flow retrieves the transcript via the Loom API.
- 3OpenAI produces a concise digest: a one-line verdict plus a numbered list of action items.
- 4GitHub looks up the PR author's identity to resolve the right person.
- 5Slack delivers a direct message with the digest and the Loom link to the author.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect GitHubRepos, issues, pull requests, actions.
- 4Connect SlackChannels, DMs, threads, mentions.
- 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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