One Blog Post, Many Voices: Building a Content Repurposing Agent with LangGraph

A step-by-step guide to creating an AI workflow that reads a blog post and automatically transforms it into a Twitter thread, a LinkedIn post, and a newsletter summary.

In the world of content marketing, the mantra is “create once, distribute everywhere.” A single, well-researched blog post is a goldmine of information that can be repurposed for different audiences on different platforms. But manually rewriting content is tedious and time-consuming.

This is a perfect job for an AI agent.

In this tutorial, we will build a LangGraph agent that acts as an automated content team. It will:

1. Read the content from a live blog post URL.
2. Become a “Twitter-izer”: Adopting a witty persona to draft a compelling Twitter thread.
3. Become a “LinkedIn-izer”: Switching to a professional persona to write an insightful LinkedIn article.
4. Become a “Summarizer”: Creating a short, punchy summary for an email newsletter.

The entire process will be orchestrated in a single, elegant workflow.

Visualizing the Workflow

Unlike our previous self-healing agent which used a loop, this workflow is a straightforward assembly line. We fetch the content once, then pass it down the line to each specialist to create their respective piece.