I Built a FULL AI Marketing Team with Codex (Full Workflow Guide)

Description: A hands-on walkthrough showing how to build an autonomous AI marketing team inside OpenAI Codex. The creator defines project files, constructs five specialized agents, and demonstrates end-to-end tasks—from competitor research and content strategy to copywriting, data analysis, and campaign orchestration—highlighting testing, error handling, and file handoffs without needing developer-only skills.

– System setup & structure: Create a project, add an agent.md and brand.md as single sources of truth; define folder structure, naming conventions, dependencies, and orchestration rules.

– Research agent: Uses Playwright and Python tools to scrape sites, capture screenshots, produce slide decks and briefs, and log errors and fallbacks.

– Strategy & content pipeline: A content strategy agent converts research into calendars, messaging frameworks, and briefs; the creative copy agent generates channel-specific copy with self-review against the brand file.

– Data, QA & orchestration: The data agent produces KPI dashboards and prioritized gaps; the campaign manager orchestrates tasks, performs brand QA, documents warnings, and compiles the final campaign report.

Quotes:

This is actually an autonomous workforce.

You do not need to be a developer to put this to work.

Five agents, one single system — a real AI marketing team built entirely inside Codex.