I asked Fable and Codex what to automate. They disagreed.

I asked Fable and Codex what to automate. They disagreed.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/p/let-ai-pick-what-to-automate


What's really happening when you stop telling an AI what to automate and ask it to discover the problem itself?

The common story is that AI agents need a tightly specified task — but the reality is that the strongest systems can inspect real work, identify recurring friction, and propose different high-leverage automations.


In this video, I share the inside scoop on giving Fable and Codex the same open brief and getting two very different answers.

  • Why picking the problem is becoming part of the agent's job
  • How Fable found a strategic editorial preflight opportunity
  • What Codex built to validate completed content handoffs
  • Where human judgment still matters
  • How to turn the method into a reusable automation-discovery skill

For operators, builders, and leaders, the shift is from asking which tool to use to asking which recurring problem is worth solving completely.

Subscribe for daily AI strategy and news.


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