Turn an uploaded audio file into a fully published podcast episode

Automatically transcribes, writes show notes and social posts, and publishes a podcast episode from one audio upload.

How the work actually flows

It branches. Every path runs; all paths must finish before it continues.

Pattern: Parallel Split (2) ยท Synchronisation (3)

flowchart TD trig>"audio file uploaded to drive"]:::trig s0["transcribe audio to text"]:::svc s1[("save content to database")]:::store s2["publish episode"]:::svc s3(("notify team")):::human trig --> s0 s1 --> s2 s2 --> s3 gx{"+ what content to generate"}:::gate s0 --> gx p00["write show notes and captions"]:::task gx -->|"written content"| p00 p10["generate thumbnail image"]:::task gx -->|"visual content"| p10 jn{"+ save to database"}:::gate p00 --> jn p10 --> jn jn --> s1 out[/"fully published episode with assets"/]:::out pay{{"saves hours of production work per episode"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itAn outside serviceA personA record or sheetEvery pathWaits for allResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Voice & PhoneContent Generation & CopywritingMessaging & NotificationsSpreadsheet & Database OpsFile & Cloud Storage
Connects
Google DriveOpenAIAirtableBuzzsproutSlack

The problem it solves

Producing a podcast episode means transcribing the audio, writing show notes, drafting social posts, making a thumbnail, and uploading it everywhere, and doing all of that by hand eats up your whole day. You end up delaying episodes because the production work behind the scenes takes so much time. Keeping the process consistent across every episode gets harder as your show grows.

Who it fits

Podcasters, content creators, or marketing teams producing regular audio episodes.

How it works

  1. An audio file is uploaded to a shared drive folder
  2. AI transcribes the audio to text
  3. AI writes the title, show notes, tags, blog post, and social captions
  4. AI generates a thumbnail image and saves everything to a database
  5. Episode is published and your team gets a notification
What you get

Episodes ready to review before they go live

You get a fully drafted episode, complete with transcript, show notes, social captions, and thumbnail, ready for your team to publish.

What you get

A published podcast episode with show notes, blog post, social captions, thumbnail, and a team notification.

What you need

A Google Drive account, an OpenAI API key, an Airtable account, a Buzzsprout account, and a Slack workspace.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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