CONTENT CREATION
Article to two-host conversational podcast episode
Manually run on a chosen article, this rewrites it as a two-host dialogue, voices each speaker with a distinct ElevenLabs voice, merges the tracks, and saves the episode to S3.
How it runs
The automated pipeline, trigger to output.
- TriggerOperator runs on a selected article
- ActionRewrite article into two-host dialogue with OpenAIOpenAI
- ActionRender each speaker with its own ElevenLabs voiceElevenLabs
- LogicStitch speaker turns into one ordered track
- OutputSave merged MP3 and transcript to S3AWS S3
What it does
Converts a single article into a conversational, two-host podcast episode. It rewrites the source into a natural back-and-forth script, assigns each speaker a separate ElevenLabs voice, renders both turns, and merges them into one continuous MP3 ready for your feed.
When to use it
Use it when a flat single-narrator read feels dry and you want the engaging interview style of popular AI-generated shows. Best for explainer and deep-dive posts that benefit from a host asking the questions a listener would.
How it works
- 1An operator manually starts the run and selects the source article.
- 2OpenAI rewrites the article into an alternating two-speaker dialogue script with speaker tags.
- 3Each speaker's lines are sent to ElevenLabs using that speaker's assigned voice.
- 4The rendered turns are stitched in order into a single MP3.
- 5The finished episode and its transcript are saved to S3 for publishing.
Set it up
What you configure once, before turning it on.
- 1Connect OpenAIModels, embeddings, files.
- 2Connect ElevenLabsText-to-speech, voice cloning.
- 3Connect AWS S3Buckets, objects, signed URLs.
- 4Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 5Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 6Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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