In this material On this channel, review and replay describes the human side of working with an agent like OpenAI's Codex: you watch what the agent produced, judge it against the real work, and use what you see to teach the agent better for next time. The video's playbook makes this explicit — start with a hard recurring process, teach the agent the real work, and then turn what you hand off into skills [^80173b13-be8f-504f-b4a0-b42e68c711bf]. Reviewing the handoff is how the skill gets captured; replaying it is how you confirm the agent now does that part of the process on its own. Explore the source Jump into the moments on the video page to see the playbook in context, and use the handout as a map of the exploration rather than a transcript recap. As you explore, notice how the reviewer's judgment — not blind trust in autonomy — is what makes the handoff-to-skill loop work. <KeyPoint>Review and replay = checking agent output, then re-running the improved process with the agent. </KeyPoint> <KeyPoint>It is the mechanism behind the video's “turn what you hand off into skills” step. </KeyPoint> <KeyPoint>Explore the video's moments to see it applied to a real monthly finance workflow. </KeyPoint>