Code to Content

Brandon Qin's Code to Content project automates website updates by ingesting GitHub PR data. Using LLMs, it transforms technical code changes into marketing copy and documentation. This AI-native approach ensures real-time updates for products like Email Productivity and Inbound Email Security.

NOTE: Demo visuals use either blurred real data or synthetic placeholders to protect customer privacy.

Brandon Qin

Builder

In this series

6 parts

Part 1

Code to Content - Shipping the Story

Brandon Qin’s Code to Feature Pages MVP turns merged PRs into live website content. The pipeline classifies, validates, and generates marketing copy, enabling product updates to reach customers faster without manual PMM workflows.

Part 2

Code to Content - From Pages to Systems

Brandon Qin’s follow-up demo extends Code to Content into a fully AI-generated website MVP, using shared inputs, memory, and feedback loops to autonomously maintain structure, content quality, and consistency across abnormal.ai.

Part 3

Code to Content - Two Agents, One Court

In this update to the Code to Content series, Brandon Qin shares the next iteration of Abnormal’s autonomous website vision. This update focuses on coordination: how multiple AI agents work together to turn shipped code into complete, customer-ready web experiences.

Part 4

Code to Content - Agent Trio Pipeline

Brandon Qin’s latest Code to Content iteration adds a third agent for visuals and a feedback system that learns from edits, enabling faster, higher-quality AI-generated websites.

Part 5

Code to Content - Self-Learning Intel

This iteration shows Brandon Qin’s Code to Content pipeline: three agents generate site copy, components, and branded video loops, and a Streamlit feedback app captures reviewers' edits and feeds them back into the system for faster, repeatable website iteration.

Part 6

Code to Content - Evals Feedback Layer

Brandon Qin, the builder driving the AI-native website rebuild, returned to AI Demo Hour with Code to Content: the closed-loop production system he and his web marketing stakeholders have stood up, so feedback flows into shipped code without manual handoffs. This week's demo combined a weekly executive sprint update, a new on-page feedback app, an autonomous-agent workflow, and a fresh scroll-animation media type that Brandon is rolling out across more pages.

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Code to Content

In this series

Code to Content - Shipping the Story

Code to Content - From Pages to Systems

Code to Content - Two Agents, One Court

Code to Content - Agent Trio Pipeline

Code to Content - Self-Learning Intel

Code to Content - Evals Feedback Layer

Keep exploring