CONTENT CREATION
Loom demo chaptered into multi-language Coda tutorials
Chapters a Loom demo once, then for each target language produces a translated Coda tutorial with localized chapter titles and shared per-section cover images.
How it runs
The automated pipeline, trigger to output.
- TriggerLoom recording finished processingLoom
- ActionChapter transcript with titles and timestampsOpenAI
- ActionGenerate cover image per chapterImage generation
- LogicLoop over target languages
- ActionTranslate chapters and write localized Coda docCoda
- OutputReturn Coda index page linking all languagesCoda
What it does
Produces localized tutorials from a single Loom recording. It chapters the demo once, generates the cover images once, then translates the chapter titles, summaries, and transcript excerpts into each configured language and writes a separate Coda doc per locale — all linked from an index page.
When to use it
Use it when you support customers in multiple languages and want every product walkthrough available as a native-language tutorial without paying to translate and lay out each one by hand.
How it works
- 1A finished Loom recording triggers the flow.
- 2OpenAI segments the transcript into chapters with titles, summaries, and timestamps.
- 3generate-image creates a cover image per chapter (reused across all languages).
- 4A logic step loops over the configured target languages.
- 5For each language, OpenAI translates chapter text and a Coda action writes a localized tutorial doc.
- 6A Coda action builds an index page linking every language version.
- 7The index doc URL is returned.
Set it up
What you configure once, before turning it on.
- 1Connect LoomVideo transcripts, libraries.
- 2Connect OpenAIModels, embeddings, files.
- 3Connect Image generationManaged Nano Banana image renders, metered per image.
- 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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