Akshay Nathan explains that ChatGPT Work emerged from observing non-developers at OpenAI using Codex with pride, realizing agent capabilities extended beyond coding. The product shares the same underlying harness as Codex but differs in UX, hiding technical details like Git diffs while maintaining the same power. He emphasizes that the default model configuration works for most users, with advanced options like Ultra mode reserved for complex tasks. The discussion covers how Sites are replacing traditional slide decks and spreadsheets for internal collaboration, and how persistent computers, artifacts, and scheduled tasks enable personal productivity use cases like meal planning and package tracking. Akshay advises users to regularly retry tasks that models couldn't handle months ago, as capabilities improve rapidly. He warns against conflating motion with progress, suggesting teams measure success by the quality of 'at-bats'—the ability to generate ideas, build, get feedback, and validate hypotheses—rather than traditional proxies like code commits or token usage.