WorkThe story, in brief

The website that created an AI clone of its editor in chief

A news outlet doubled headcount while automating its editor-in-chief role—here's how 30,000 copyedits became an AI agent.

Illustration of two anonymous hands arranging task cards around an amber tool on a shared desk.
People, judgement and the changing nature of work.AI illustration by KeyNews
The KeyNews take

Why it matters

Real deployment of AI agents in knowledge work (editorial/writing), with workforce implications and the human-AI collaboration model emerging at scale in media. Shows how automation and hiring can coexist in practice.

The key facts

10 to know
  1. Editor-in-chief role automated via AI agent trained on 30,000+ copyedits

  2. Company doubled headcount while automating core editorial function

  3. CEO Dan Shipper (Every) discusses agent-building and AI writing workflow

  4. Case study of agentic AI in media/publishing industry

  5. Interview format—CEO commentary on automation vs. hiring strategy

  6. Every.com created an AI agent trained on 30,000 copyedits by editor Dan Shipper

  7. Company doubled headcount while automating writing pipeline

  8. Agent approach preserved editorial voice and quality control

  9. Raises questions about training data use and AI-native content workflows

  10. Story framed around workplace transformation, not agent technology itself

Go to the source

Platformerplatformer.news

Publisher excerpt: Every CEO Dan Shipper on doubling headcount while automating everything, building an agent out of 30,000 copyedits, and the “dirty secret” of writing with AI
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