Marketing Agency Content Marketing

Podcast Episode Repurposer

An always-on content factory that turns each new podcast episode into 8+ ready-to-review assets. The agent monitors your video host for new long-form uploads, pulls a clean transcript, and uses Twin AI to draft platform-native posts for LinkedIn, Instagram, Facebook, and TikTok, plus a long-form blog post and an email broadcast in HubSpot. Every draft lands in your draft workspace and CRM tagged with the episode title and a unique state row so the same episode is never repurposed twice. You wake up to a digest of links to review.

19 template uses · 4 catalog views

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Agent snapshot

Built for marketing agency work, not a generic template.

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Marketing Agency Content Marketing

Sample input

Build an agent to podcast Episode Repurposer. Use YouTube, HubSpot, LinkedIn, and Google Docs and related tools. Focus on content marketing. Return a ready-to-review result after each run.

Sample output

Watches your channel for new long-form uploads, transcribes them, and ships LinkedIn, Instagram, Facebook, TikTok, blog, and email drafts into your stack for review.

Workflow brief

Where Podcast Episode Repurposer fits in a marketing agency automation system

Podcast Episode Repurposer is designed for a specific recurring job: an always-on content factory that turns each new podcast episode into 8+ ready-to-review assets. The agent monitors your video host for new long-form uploads, pulls a clean transcript, and uses Twin AI to draft platform-native posts for LinkedIn, Instagram, Facebook, and TikTok, plus a long-form blog post and an email broadcast in HubSpot. Every draft lands in your draft workspace and CRM tagged with the episode title and a unique state row so the same episode is never repurposed twice. You wake up to a digest of links to review. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.

A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.

In this setup Twin uses YouTube, HubSpot, LinkedIn, Google Docs, and Slack as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.

What this agent automates

This run includes 8 concrete steps from the published agent data.

Signal 1 · 1

On schedule (every 4 hours by default), list recent uploads from the configured channel and filter to videos over the minimum duration.

Signal 2 · 2

For each candidate episode, check the agent database state table; skip any episode_id already marked processed.

Signal 3 · 3

Fetch the transcript via the configured transcription source; if unavailable, retry with backoff and skip after 3 failures.

Signal 4 · 4

Run a single Twin AI pass with the transcript, brand voice, and CTA to produce all 6-8 drafts in one structured response.

Signal 5 · 5

Write each draft to the configured destination (HubSpot email draft for the broadcast; Notion / Docs / Sheets for social copy and blog).

Signal 6 · 6

Insert a row in the state table: episode_id, title, processed_at, draft_links, status=ready_for_review.

Integrations used

Podcast Episode Repurposer connects YouTube, HubSpot, LinkedIn, Google Docs, and Slack.

YouTube

Connected in this agent

HubSpot

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Google Docs

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Slack

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Clone Podcast Episode Repurposer

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Plans start at €20/mo