How to use Codex for everyday work

OpenAI's latest blog post outlines ten practical use cases for Codex, the AI model that powers GitHub Copilot and other coding assistants. The post focuses on automating routine tasks, generating deliverables, and converting real-world inputs into outputs across various tools, files, and workflows. Examples include drafting emails based on notes, formatting CSV data from natural language, and even creating custom integrations within spreadsheets or project management tools. While Codex is primarily known for code generation, the post emphasizes its utility for non-programming automation, making it accessible to a broader audience. By treating Codex as a versatile automation engine, developers and solopreneurs can offload repetitive work without writing complex scripts. The blog does not introduce new technology but rather educates users on maximizing an existing tool's potential. For those building AI workflows, this serves as a practical guide to integrating Codex into daily operations, reducing manual effort and accelerating output.