Content Systems

Podcast Intelligence Pipeline

Automated system that replaced manual podcast listening with AI-generated pitches—saving 50+ hours/week and $5K/month.

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Problem

Editorial spent full days manually listening to podcasts and transcribing episodes. Output was capped by listening hours.

Solution

Automated pipeline that ingests new episodes, transcribes via AI, extracts story angles, and delivers editor-ready pitches to Airtable.

Outcome

50+ hrs/week
Time Saved
$5K/mo
Cost Saved

Saved 50+ hours/week and $5K/month in contractor costs. Editorial throughput increased without adding staff.

System Architecture

📥

Detect

Monitors RSS feeds for new episodes as they publish

⚙️

Queue

Schedules processing and handles retries automatically

🎙️

Transcribe

Converts audio to text via speech-to-text API

🤖

Extract

Pulls story angles and headlines from transcript

📝

Deliver

Writes structured pitches to Airtable for editorial review