Descriptions:
Riley Brown walks through nine AI-powered marketing workflows inside Codex, a conversational agent platform, demonstrating how a small startup team can automate content research, ad creative analysis, and social media strategy using GPT 5.6 and a stack of connected APIs. Brown runs the demos alongside his co-founder Vashall, who is transitioning from an engineering role into marketing — a dynamic that grounds the tutorial in real, non-technical onboarding questions.
The workflows span the full marketing stack. A custom slash-command triggers the Scrape Creators API to pull the top 10 videos, transcripts, and engagement metrics from a target Instagram creator (in this case, Callaway) and load them into a Notion database for pattern analysis. A separate competitor ad workflow uses an ad intelligence API to surface the longest-running static and video ads from rivals like Claude, Perplexity, and Replit, which are then pushed into Paper — an AI-native Figma alternative — via MCP integration for brand remixing. Firecrawl is used live to scrape and reconstruct a full competitor landing page onto the same canvas for side-by-side creative reference.
A key insight Brown shares is that AI has historically underperformed at original content writing because quality is subjective and hard to validate automatically — but excels at recognizing and replicating patterns from high-quality examples. The entire workflow philosophy is built around feeding agents curated databases of proven content so that script generation and ad production start from a strong empirical baseline rather than a blank prompt.
📺 Source: Riley Brown · Published July 21, 2026
🏷️ Format: Workflow Case Study
