Build a Podcast Mini-Series Package with this AI Prompt
Planning a podcast season is messy - this AI Prompt builds a cohesive mini-series arc…
Turn scripts into audio, publish episodes, and distribute clips automatically. Stop chasing files and deadlines—ship consistent voice content faster with n8n workflows.
You start with a trigger, like a new brief in a form, a Google Doc update, or an RSS item. The workflow generates or cleans the script (often with OpenAI), turns it into voice with a TTS tool like ElevenLabs, then saves the audio to Google Drive. From there it can create titles/descriptions, notify Slack, and publish or schedule on YouTube or your podcast pipeline. Honestly, the big win is removing the “copy, paste, upload, repeat” loop.
Not necessarily. Most Flowpast workflows are plug-and-play: connect accounts, pick folders, and paste a few prompts. If you can set up Zapier, you can handle n8n. More advanced setups (like loudness normalization in FFmpeg or multi-voice routing) take a bit of tinkering, but you don’t need to code. You’ll get value quickly, then improve it as your process matures.
For a typical weekly show or campaign, automation can cut the production admin work in half—especially file handling, naming, uploads, and team follow-ups. Instead of spending about 2 hours per episode moving assets around, you’ll spend that time on the parts that matter: the hook, the story, and the offer. If you also automate clip generation and distribution, the savings compound across every channel.
You need an n8n instance (cloud or self-hosted), plus accounts for the services you want to connect—commonly OpenAI or ElevenLabs for TTS and Google Drive for storage. Have a clear folder structure, a naming convention, and one “source of truth” for scripts (Doc, Notion, or a form). If your workflow uses FFmpeg, you’ll install it on the same machine as n8n or run it in Docker. Start small with one show, then roll it out across clients.
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