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