Running Codex as a Headless Agent

OpenAI's Codex model can be run as a headless agent, transforming it from an interactive tool into a programmable component for automation. A case study is presented involving a Python script that orchestrates a research workflow. The script prepares a task, calls the Codex command-line interface to perform web research and generate a structured JSON output, and then renders this data into an HTML digest. This approach combines deterministic code for workflow control with the agentic capabilities of an LLM for handling open-ended tasks.