Get 40+ Content Pieces From One Webinar

For founders and marketers who run webinars, this playbook shows you how to turn one 45-minute session into 40+ pieces of content with an automation that runs the moment your video goes live. You download the full 10-step build, a copy-paste Relay workflow structure, and three ready-to-use prompt templates for the recap article, the LinkedIn post, and your writing style document.

Free Playbook

Get the full playbook.

What you'll learn

Set up your YouTube upload as the single trigger and add a description keyword filter so the automation only runs on full-length webinars
Map every output you want (recap article, company and personal LinkedIn posts, attendee email, newsletter section, lead-magnet playbook, short-form clips) back to the input each one needs
Build the transcript extraction step that becomes the raw material every downstream piece depends on
Match the model to the task, using Claude for short-form writing and GPT for longer analysis
Feed a real example and a writing style document into every prompt so the output reads like your brand
Add Slack approval gates for content that needs a human eye, and connect direct publishing for content that can go straight to LinkedIn, your CMS, or your ESP
Run 3 to 5 rounds of test runs against a real video, then expand the workflow to new content types over time

Summary

The Webinar Repurposing Machine is an Input-Output Automation Framework that maps each output (recap article, LinkedIn posts, follow-up email, newsletter section, short-form clips) to the input it needs, then builds the automation once and runs it forever. Your YouTube upload becomes the trigger; the system extracts the transcript, generates each content piece with the right model for the job, and routes anything sensitive through a Slack approval gate before it publishes. You feed real examples and a writing style document into every prompt so the output reads like your brand. The playbook walks all 10 steps, from defining the trigger to expanding the workflow over time, so one hour of work generates months of content.