Building AI Messaging Systems for Amazon Everyday Essentials
The Everyday Essentials team set out to simplify product discovery and deepen customer engagement. I was tasked with developing a scalable LLM-driven approach to personalize the areas of the product description through brand-focused merchandising tools that lead to progressive cart building. To deliver on this, I defined the terms of the frameworks that guided customers to discover premium items and find cross-aisle related products.
WHAT I DID
• Designed the foundational language systems and UX guardrails for AI-generated copy.
• Developed a repeatable framework to ensure LLM-created content remained clear and contextually appropriate across 30+ live experimentation frameworks and hundreds of unique product types.
• Engineered a strategic language framework that created dynamic recommendation copy.
• Developed thematic categories tied to shopping psychology, allowing the AI to prioritize user motivation.
• Transformed simple UX copy strings into a scalable, documented system that maintained a consistent brand voice.
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