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.

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