How I AI: My Weekly Codex Experiments
AI News & Strategy Daily with Nate B. Jones
May 30, 2026
The speaker shares how moving AI workflows to local file systems—specifically using Codex—has revolutionized efficiency. By treating text and code as structured data and evolving from rigid prompting to collaborative task definition, he can now manage multi-threaded projects across massive document sets with superior reliability.
Key insight: The shift from traditional prompt engineering to 'collaborative task definition'—where the AI helps define the shape of the project before execution—enables agents to remain on-task across long-running, multi-step workflows.