The Pattern: Building a Daily AI Culture Briefing
How one non-coder built a fully automated culture intelligence briefing that publishes every morning at 7am -- using RSS feeds, Claude AI, voice cloning, and zero traditional code.
The Problem
Culture moves fast. Really fast. Across music, design, fashion, food, technology, and brands, there are hundreds of signals every day -- and no single source captures the full picture. You either spend hours scanning dozens of feeds and feeds, or you miss things. There is no culture equivalent of a morning news briefing.
The existing options are either too niche (focused on one domain), too slow (weekly or monthly roundups), or too algorithmic (serving you more of what you already know). What was missing was a daily synthesis -- something that looks across all of culture and tells you what matters today, before it becomes obvious tomorrow.
The Approach
The Pattern is built on a simple but powerful pipeline. Every morning at 7am UTC, a GitHub Actions workflow triggers a chain of automated steps:
The source data comes from CultureTerminal, another product in the Cultural Capital Labs portfolio, which aggregates and scores content from over 50 RSS feeds across fashion, brands, design, music, art, and technology.
Claude Haiku (Anthropic's fast, efficient model) takes the raw data and synthesises it into a structured briefing: a Culture Pulse score, a lead story, five signals, a pattern observation, one to watch, and conversation starters. The AI is not generating opinion -- it is finding the pattern across the noise.
ElevenLabs then converts the written briefing into audio using a voice cloned from 30 minutes of training data. The result is a podcast-ready audio briefing that sounds natural, not robotic.
The entire process -- from data fetch to live deployment -- runs unattended. No human intervention required. The briefing publishes at 7am every morning.
How It Was Built
The Result
The Pattern produces a daily culture briefing covering six sections: Culture Pulse (an overall score), The Lead (the day's top story), 5 Signals (emerging patterns), The Pattern (the connecting thread), One to Watch (a person or brand to follow), and Conversation Starters (talking points for the day).
The audio version has been submitted to Spotify and Apple Podcasts, making it accessible as a daily podcast. An RSS feed powers syndication.
What started as an experiment in AI synthesis became the strongest demonstration of what one person with AI tools can build -- a product that would typically require a content team, an audio producer, a developer, and a product manager.
The Key Insight
AI does not replace taste -- it amplifies it. The curation of sources matters more than the synthesis. What you choose to feed the machine determines what comes out.
The most important decisions in building The Pattern were not technical. They were editorial. Which 50+ sources to include. What structure makes a briefing useful rather than just interesting. How much synthesis is helpful versus how much strips the nuance away.
The technology is the enabler, not the differentiator. Anyone could build this pipeline. The value is in the editorial framework -- knowing what matters, what connects, and what to ignore. That is strategy. That is taste. That is the work.