I Was Drowning in Podcast Admin, So I Built an Edge AI Tool

Description and use

A podcaster reduced post‑production admin from hours to minutes by building PodCrisp, an edge AI tool that instantly generates titles, show notes, and SEO keywords using Llama‑3 on Cloudflare Workers.

Problem

Podcast creators spent up to three hours per episode on manual admin tasks such as title creation, transcript summarization, and SEO-friendly descriptions, draining time and joy from content creation.

Outcome

The edge AI pipeline reduced post‑production admin from up to three hours to a few minutes, delivering instant, structured metadata and improving discoverability while preserving creator joy.

Workflow

• 1. Record episode and generate transcript.
• 2. Send transcript to Cloudflare Worker endpoint.
• 3. Worker calls Llama‑3‑8b‑instruct via Cloudflare AI with a structured system prompt to produce show notes, title options, and SEO keywords.
• 4. Receive JSON response with formatted metadata.
• 5. Publish episode with generated titles and notes.
• 6. Optionally iterate with streaming response for real‑time rendering.

Evidence

I was spending upwards of three hours after every single episode just doing admin work.

Source

The post‑production admin for podcasts is a hidden tax on creators.

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I decided to build something.

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I named the project PodCrisp. My main technical goal was to keep things incredibly fast and lightweight.

Source

Using Llama 3 at the edge via Cloudflare was a practical choice. It’s fast enough to handle the 800‑token limit for show notes without timing out.

Source