AI & RAG
Index New Loom Walkthroughs into a Searchable Confluence Knowledge Base
Whenever a new Loom recording is published, it transcribes and summarizes the walkthrough, extracts the key technical Q&A, and files a structured.
How it runs
The automated pipeline, trigger to output.
- TriggerNew Loom recording publishedLoom
- ActionFetch Loom transcript and metadataLoom
- ActionSummarize into topics and timestamped Q&A via OpenAIOpenAI
- LogicSkip recordings too short or off-topic to index
- ActionWrite structured knowledge page to ConfluenceConfluence
- OutputNotify team in Slack that the walkthrough is searchableSlack
What it does
This workflow turns every new Loom walkthrough your SEs record into a structured, searchable Confluence page. It captures the transcript, distills the technical points and objection-handling moments, and tags them so future answer bots and humans can actually find them.
When to use it
Run it when your team records lots of Looms but the knowledge stays trapped in video. It builds the grounded corpus that every other RAG answer workflow depends on, with zero manual write-ups.
How it works
- 1A newly published Loom recording triggers the flow.
- 2An action pulls the Loom transcript and metadata (title, presenter, duration).
- 3OpenAI summarizes the walkthrough into topic, key technical claims, and a timestamped Q&A list.
- 4A logic step checks the transcript is long enough and on-topic to be worth indexing.
- 5The structured summary plus deep links to Loom timestamps is written as a new Confluence page under the SE knowledge space.
- 6A short notice is posted to Slack so the team knows the new walkthrough is now searchable.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect ConfluenceSpaces, pages, blueprints.
- 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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Run this workflow in your colony.
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