OpenAI publishes "Codex-Maxxing for Long-Running Work," a rare first-party methodology doc.

Jason Liu's June 22 whitepaper treats Codex as a persistent workspace that preserves context across long-horizon projects, not a one-shot generator. The method: decompose goals into discrete, independently verifiable steps, maintain continuity across parallel workstreams, and define explicit boundaries for when to delegate versus keep human oversight. (OpenAI) It's the same independently-verifiable-steps discipline showing up everywhere this week. When the lab that ships the tool writes down how to drive it, read it.