CONTENT CREATION
CEO-Orchestrated Full Localization Release for a Course Module
A chat-triggered agent that takes a course module, plans the localization work across languages, runs transcription, translation, subtitle and dub generation.
How it runs
The automated pipeline, trigger to output.
- TriggerChat request to CEO agent to localize a module
- ActionList module videos in Dropbox and plan workDropbox
- ActionTranscribe and translate per language with Hugging FaceHugging Face
- ActionGenerate subtitles and dubs with ElevenLabsElevenLabs
- ActionStore all artifacts to R2Cloudflare R2
- OutputPublish release manifest in NotionNotion
What it does
An operator asks the CEO agent in chat to localize a whole course module. The agent plans the work, pulls the module's videos from Dropbox, drives transcription and translation, generates subtitles and dubs per language, stores assets in R2, and publishes a release manifest in Notion that links every artifact.
When to use it
Use it for one-shot, end-to-end module releases where the scope and language set vary per request and you want an agent to coordinate the multi-step pipeline rather than a fixed deterministic flow. Good for ad hoc launches and re-localizations.
How it works
- 1A chat message to the CEO agent names the module and target languages.
- 2The agent lists the module's source videos in Dropbox and builds a per-lesson work plan.
- 3It transcribes each lesson via Hugging Face and translates the text into each requested language.
- 4It generates subtitle files and ElevenLabs dubs, reasoning about retries when a step fails.
- 5All artifacts are written to R2 under the module and language structure.
- 6The agent assembles a Notion release manifest linking every subtitle, dub, and transcript.
Set it up
What you configure once, before turning it on.
- 1Connect DropboxFiles and folders.
- 2Connect Hugging FaceModels, datasets, spaces — the open-source hub.
- 3Connect ElevenLabsText-to-speech, voice cloning.
- 4Connect Cloudflare R2Object storage, S3-compatible.
- 5Connect NotionPages, databases, comments.
- 6Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 7Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 8Test, 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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