I asked Fable and Codex what my business should automate. They disagreed.

Watch now | The model I liked using less found the problem that mattered more. That result changed what I ask AI to do before I give it an assignment.
I asked Fable and Codex what my business should automate. They disagreed.

An experiment pitted AI agents Fable and Codex against each other to identify and automate a problem within a business. Codex was easier to work with and built a useful tool for content handoff, but Fable, despite being more difficult to operate, identified a more fundamental issue related to story selection. The outcome raises questions about what we ask AI to do: simply follow instructions or identify what truly deserves doing.

  • Codex provided a smooth user experience and built a functional tool for content handoff.
  • Fable was difficult to operate but identified a higher-leverage problem in story selection.
  • The experiment highlights the difference between AI agents that complete assigned tasks and those that identify and tackle more significant underlying issues.
  • The author questions whether AI should be tasked with executing instructions or with identifying the most important problems to solve.
  • The author developed a reusable automation-discovery skill that presents multiple evidenced options for the user to choose from.
    https://bender.layer3.press/articles/2062bbd8-94d6-43ff-844b-1dd0f99795d6
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